Alternatives to Maana Knowledge Platform
Compare Maana Knowledge Platform alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Maana Knowledge Platform in 2026. Compare features, ratings, user reviews, pricing, and more from Maana Knowledge Platform competitors and alternatives in order to make an informed decision for your business.
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RelationalAI
RelationalAI
RelationalAI is a next-generation database system for intelligent data applications based on relational knowledge graphs. Data-centric application design brings data and logic together into composable models. Intelligent data applications understand and make use of each relation that exists in a model. relational provides a knowledge graph system to express knowledge as executable models. These models can be easily extended through declarative, human-readable programs. RelationalAI’s expressive, declarative language leads to a 10-100x reduction in code. Applications are developed faster, with superior quality by bringing non-technical domain experts into the creation process and by automating away complex programming tasks. Take advantage of the extensible graph data model as the foundation of data-centric architecture. Integrate models to discover new relationships and break down barriers between applications. -
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KgBase
KgBase
KgBase, or Knowledge Graph Base, is a collaborative, robust database with versioning, analytics & visualizations. With KgBase, any community or individual can create knowledge graphs to build insights about their data. Import your CSVs and spreadsheets, or use our API to work on data together. Build no-code knowledge graphs with KgBase, our easy-to-use UI lets you traverse the graph, show the results as tables and charts, and much more. Play with your graph data. Build your query and see results update in real time. It's like writing query code in Cypher or Gremlin, except easier. And fast. Your graph can be viewed as a table, allowing you to browse all results - no matter the size. KgBase works great with large graphs (millions of nodes), as well as simple projects. In the cloud, or self-hosted, with wide database support. Introduce graphs into your organization by seeding graph from a template. Results of any query can be easily turned into a chart visualization.Starting Price: $19 per month -
3
metaphactory
metaphacts
metaphactory transforms your data into consumable, contextual & actionable knowledge and drives continuous decision intelligence. Out-of-the-box, intuitive interfaces for searching, browsing & exploring your Knowledge Graph. Low-code approach to building custom interfaces that enable business-user interaction with the Knowledge Graph. Start small, iterate often & add new use cases, new data and new users on the fly. Agile knowledge management & low-code platform for building applications. -
4
AllegroGraph
Franz Inc.
AllegroGraph is a breakthrough solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph utilizes unique federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph provides users with an integrated version of Gruff, a unique browser-based graph visualization software tool for exploring and discovering connections within enterprise Knowledge Graphs. Franz’s Knowledge Graph Solution includes both technology and services for building industrial strength Entity-Event Knowledge Graphs based on best-of-class tools, products, knowledge, skills and experience. -
5
Grakn
Grakn Labs
Building intelligent systems starts at the database. Grakn is an intelligent database - a knowledge graph. An insanely intuitive & expressive data schema, with constructs to define hierarchies, hyper-entities, hyper-relations and rules, to build rich knowledge models. An intelligent language that performs logical inference of data types, relationships, attributes and complex patterns, during runtime, and over distributed & persisted data. Out-of-the-box distributed analytics (Pregel and MapReduce) algorithms, accessible through the language through simple queries. Strong abstraction over low-level patterns, enabling simpler expressions of complex constructs, while the system figures out the most optimal query execution. Scale your enterprise Knowledge Graph with Grakn KGMS and Workbase. A distributed database designed to scale over a network of computers through partitioning and replication. -
6
Amazon Neptune
Amazon
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions. -
7
Graphlytic
Demtec
Graphlytic is a customizable web platform for knowledge graph visualization and analysis. Users can interactively explore the graph, look for patterns with the Cypher or Gremlin query languages (or query templates for non-tech users), or use filters to find the answers to any graph question. The graph visualization brings deep insights in industries, such as scientific research, anti-fraud investigation, etc. Users with very little graph theory knowledge can start to explore the data in no time. Graph rendering is done with the Cytoscape.js library which allows us to render tens of thousands of nodes and hundreds of thousands of relationships. The application is provided in three ways: Desktop, Cloud, and Server. Graphlytic Desktop is a free Neo4j Desktop application installed in just a few clicks. Cloud instances are ideal for small teams that don't want to worry about the installation and need to get up and running in very little time.Starting Price: 19 EUR/month -
8
Gato GraphQL
Gato GraphQL
Gato GraphQL is a powerful and flexible GraphQL server for WordPress, enabling users to access and manipulate any piece of data, such as posts, users, comments, tags, and categories, via a GraphQL API. It supports building dynamic, headless sites by using WordPress as the CMS to manage data while allowing the use of any framework for rendering. It offers multiple interactive clients, including GraphiQL and Voyager, providing user-friendly interfaces for composing queries and visualizing the schema. Security features include granular access control based on user roles or IP addresses, HTTP caching for performance optimization, and the ability to create public, private, and password-protected endpoints. Gato GraphQL also supports nested mutations, custom endpoints, persisted queries, and field deprecation via the UI. Additionally, it integrates with popular WordPress plugins and external services, extending the GraphQL schema's capabilities. Starting Price: $249 one-time payment -
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QuickSet Cloud Device Knowledge Graph
QuickSet Cloud
A global device knowledge graph provides structured and detailed information about devices, their capabilities, and services they offer as well as the relationships among them. Every device within the home has a set of device properties such as its brand name, model number, series number, manufacturer, current capabilities and offerings, physical and software characteristics, compatible devices, region information, and much more. This extensive range of information for nearly every AV device in the world is contained in QuickSet’s device knowledge graph. QuickSet leverages this knowledge graph, to serve up a full range of capabilities for a device. Beyond control, this knowledge graph also adds the much-needed context to all user commands and actions, making dynamic capability discovery of nearby devices possible. QuickSet relies on algorithms that utilize the knowledge graph of devices with varying control capabilities, communication interfaces, and protocols. -
10
Golden
Golden
The world is lacking a decentralized graph of canonical knowledge that is open, free, and permissionless, and incentivizes agents to enter data into the graph. Our vision is to create a protocol that maps the 10 billion entities that exist and the public knowledge that surrounds them. Triples, also known as fact triples or SPO triples, are the elemental building blocks of facts that link entities together forming a graph. They are the atoms that build the universe of knowledge as we know it. The protocol supports a rich set of triples types, qualifiers, and associated evidence. The triple graph can be used to power Dapps and services that require fundamental knowledge. Each agent can submit triples to be validated, and, if accepted, will be rewarded tokens. Validators and predictions from the knowledge graph itself decide if triples are accepted. In essence, the protocol incentivizes the knowledge graph construction while defending against gaming attacks. -
11
GraphDB
Ontotext
*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle). -
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←INTELLI•GRAPHS→
←INTELLI•GRAPHS→
←INTELLI•GRAPHS→ is a semantic wiki designed to unify disparate data into interconnected knowledge graphs that humans, AI assistants, and autonomous agents can co-edit and act upon in real time; it functions as a personal information manager, family tree/genealogy system, project management hub, digital publishing platform, CRM, document management system, GIS, biomedical/research database, electronic health record layer, digital twin engine, and e-governance tracker, all built on a next-gen progressive web app that is offline-first, peer-to-peer, and zero-knowledge end-to-end encrypted with locally generated keys. Users get live, conflict-free collaboration, schema library with validation, full import/export of encrypted graph files (including attachments), and AI/agent readiness via APIs and tooling like IntelliAgents, which provide identity, task orchestration, workflow planning with human-in-the-loop breakpoints, adaptive inference meshes, and continuous memory enhancement.Starting Price: Free -
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eccenca Corporate Memory
eccenca
eccenca Corporate Memory provides a multi-disciplinary integrative platform for managing rules, constraints, capabilities, configurations, and data in a single application. Overcoming the limitations of traditional, application-centric (meta) data management models, its semantic knowledge graph is both highly extensible, integrative as well as interpretable both by machines and business users. The enterprise knowledge graph platform re-establishes global data transparency in enterprises as well as line-of-business ownership in a complex and dynamic data environment. It enables you to drive agility, autonomy, and automation without disrupting existing IT infrastructures. Corporate Memory integrates and links data from any source in a central knowledge graph. Use user-friendly SPARQL and JSON-LD frames to explore your global data landscape. The data management in the enterprise knowledge graph platform is implemented by HTTP identifiers and metadata. -
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SplineCloud
SplineCloud
SplineCloud is an open knowledge management platform designed to facilitate the discovery, formalization, and exchange of structured and reusable knowledge in science and engineering. It enables users to organize data into structured repositories, making it findable and accessible. The platform offers tools such as an online plot digitizer for extracting data from graphs and an interactive curve fitting tool that allows users to define functional relationships in datasets using smooth spline functions. Users can also reuse datasets and relations in their models and calculations by accessing them directly through the SplineCloud API or by utilizing open source client libraries for Python and MATLAB. The platform supports the development of reusable engineering and analytical applications, aiming to reduce redundancy in design processes, preserve expert knowledge, and facilitate better decision-making. -
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HugeGraph
HugeGraph
HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin (a powerful graph traversal language). Among its features, it provides compliance to Apache TinkerPop 3, supporting Gremlin. Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel. Multi-type Indexes, supporting exact query, range query and complex conditions combination query. Plug-in Backend Store Driver Framework, supporting RocksDB, Cassandra, ScyllaDB, HBase and MySQL now and easy to add other backend store driver if needed. Integration with Hadoop/Spark. HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax. -
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Oracle Spatial and Graph
Oracle
Graph databases, part of Oracle’s converged database offering, eliminate the need to set up a separate database and move data. Analysts and developers can perform fraud detection in banking, find connections and link to data, and improve traceability in smart manufacturing, all while gaining enterprise-grade security, ease of data ingestion, and strong support for data workloads. Oracle Autonomous Database includes Graph Studio, with one-click provisioning, integrated tooling, and security. Graph Studio automates graph data management and simplifies modeling, analysis, and visualization across the graph analytics lifecycle. Oracle provides support for both property and RDF knowledge graphs, and simplifies the process of modeling relational data as graph structures. Interactive graph queries can run directly on graph data or in a high-performance in-memory graph server. -
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Anahita
Anahita
Anahita is a platform and framework for developing open science and knowledge sharing applications on a social networking foundation. Use Anahita to build online learning and knowledge sharing networks, information access networks about people, places, and things, open science and open data networks, online collaboration environment and cloud back-end for your mobile apps. Anahita provides a genuine nodes and graphs architecture as well as design patterns for building social networking apps. Anahita’s native framework provides a graph architecture and necessary design patterns that you need for developing social apps that work seamlessly with each other. Unlike conventional web applications, Anahita stores app’s data as a network of interconnected nodes and graphs which makes it ready to be used for real-time analysis. We have developed Anahita using open source technologies that are globally accessible to developers such as the LAMP stack and Javascript. -
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GraphAware
GraphAware
GraphAware offers Hume, a connected data analytics and intelligence analysis platform powered by graph technology that transforms siloed structured and unstructured data into an interconnected network for deeper insight and decision-making. At its core, Hume uses knowledge graph and graph database principles to ingest, unify, and represent data as networks of nodes and relationships, enabling analysts and data scientists to intuitively navigate, query, and visualize multi-hop connections and hidden patterns without needing to learn complex query languages. It delivers a single view of truth across disparate data sources, accelerates discovery of hidden relationships and behavior patterns, and supports advanced graph data science, including node influence analysis, link prediction, community detection, and automated alerting through integrated machine learning and large language model (LLM) features. -
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TopBraid
TopQuadrant
Graphs are the most flexible formal data structures (making it simple to map other data formats to graphs) that capture explicit relationships between items so that you can easily connect new data items as they are added and traverse the links to understand the connections. The semantics of data are explicit and include formalisms for supporting inferencing and data validation. As a self-descriptive data model, knowledge graphs enable data validation and can offer recommendations for how data may need to be adjusted to meet data model requirements. The meaning of the data is stored alongside the data in the graph, in the form of the ontologies or semantic models. This makes knowledge graphs self-descriptive. Knowledge graphs are able to accommodate diverse data and metadata that adjusts and grows over time, much like living things do. -
20
Stardog
Stardog Union
With ready access to the richest flexible semantic layer, explainable AI, and reusable data modeling, data engineers and scientists can be 95% more productive — create and expand semantic data models, understand any data interrelationship, and run federated queries to speed time to insight. Stardog offers the most advanced graph data virtualization and high-performance graph database — up to 57x better price/performance — to connect any data lakehouse, warehouse or enterprise data source without moving or copying data. Scale use cases and users at lower infrastructure cost. Stardog’s inference engine intelligently applies expert knowledge dynamically at query time to uncover hidden patterns or unexpected insights in relationships that enable better data-informed decisions and business outcomes.Starting Price: $0 -
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Grafbase
Grafbase
Grafbase is a high-performance GraphQL platform designed to help developers build, unify, and manage APIs by combining multiple data sources into a single federated API layer. It acts as a GraphQL federation gateway that aggregates services such as databases, microservices, REST APIs, and third-party systems into one unified endpoint that applications can query efficiently. Developers can compose a federated graph from multiple independent subgraphs, allowing different teams or services to evolve independently while still presenting a single coherent API to clients. Grafbase includes a schema registry and governance tools that enable teams to manage schema changes, run checks to detect breaking changes, and collaborate on schema proposals before deployment. It also provides analytics, observability, and performance monitoring features that track API usage and help teams optimize their data infrastructure. -
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SEOPress
SEOPress
Improve your traffic now! Simple, fast and powerful SEO plugin for WordPress. Optimize quickly and easily the SEO of your WordPress site. All the features you need in one plugin: breadcrumbs, redirections, schemas, sitemaps, broken link checker. Installation Wizard, quickly enable/disable features, modify your title tags in seconds. No footprints in the source code, no ads, no anonymous data sent, white label, even in the free version. Manage your titles, meta description, meta robots (noindex, nofollow, noodp, noimageindex, noarchive, nosnippet...) for every post, page, custom post type, archive page. Improve Search Engines crawling by providing XML sitemaps of your posts, pages, custom post types, terms taxonomy but also videos, images and news. Improve social networks sharing with Open Graph tags (Facebook and Pinterest), Twitter Card, Google Knowledge Graph and more.Starting Price: $49 per month / unlimited site -
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Cayley
Cayley
Cayley is an open-source database for Linked Data. It is inspired by the graph database behind Google's Knowledge Graph (formerly Freebase). Cayley is an open-source graph database designed for ease of use and storing complex data. Built-in query editor, visualizer and REPL. Cayley can use multiple query languages like Gizmo, a query language inspired by Gremlin, GraphQL-inspired query language, MQL a simplified version for Freebase fans. Cayley is modular, easy to connect to your favorite programming languages and back-end stores, production ready, well tested and used by various companies for their production workloads and fast with optimized specifically for usage in applications. Rough performance testing shows that, on 2014 consumer hardware and an average disk, 134m quads in LevelDB is no problem and a multi-hop intersection query- films starring X and Y - takes ~150ms. Cayley is configured by default to run in memory (That's what backend memstore means). -
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AWS IoT TwinMaker
Amazon
Use your existing IoT, video, and enterprise application data where it already lives, without needing to reingest or move the data to another location. Save time with an automatically generated knowledge graph that binds your data sources to virtual replicas of physical systems to accurately model real-world environments. Get an immersive 3D view of your systems and operations to optimize efficiency, increase production, and improve performance. AWS IoT TwinMaker makes it easier for developers to create digital twins of real-world systems such as buildings, factories, industrial equipment, and production lines. AWS IoT TwinMaker provides the tools you need to build digital twins to help you optimize building operations, increase production output, and improve equipment performance. With the ability to use existing data from multiple sources, create virtual representations of any physical environment, and combine existing 3D models with real-world data.Starting Price: $1.50 per million calls -
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Kavida.ai
Kavida.ai
Kavida.ai is an intelligent knowledge-management and workspace platform that uses artificial intelligence to help individuals and teams capture, connect, and contextualize information automatically within a unified notebook interface, eliminating manual tagging, folders, and fragmented documents. It ingests notes, research, documents, links, and conversations, then uses semantic AI to create an interconnected knowledge graph that surfaces related concepts, auto-generates summaries, and suggests relevant insights as users work, reducing cognitive load and making information easier to find and reuse. It supports natural language querying so users can ask questions about their knowledge base and receive concise, AI-generated answers with links back to source context, and it offers tools for outlining, brainstorming, planning, and project tracking that adapt to individual workflows. -
26
Papr
Papr.ai
Papr is an AI-native memory and context intelligence platform that provides a predictive memory layer combining vector embeddings with a knowledge graph through a single API, enabling AI systems to store, connect, and retrieve context across conversations, documents, and structured data with high precision. It lets developers add production-ready memory to AI agents and apps with minimal code, maintaining context across interactions and powering assistants that remember user history and preferences. Papr supports ingestion of diverse data including chat, documents, PDFs, and tool data, automatically extracting entities and relationships to build a dynamic memory graph that improves retrieval accuracy and anticipates needs via predictive caching, delivering low latency and state-of-the-art retrieval performance. Papr’s hybrid architecture supports natural language search and GraphQL queries, secure multi-tenant access controls, and dual memory types for user personalization.Starting Price: $20 per month -
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Quillo
Quillo
Quillo unlocks your data's potential. Effortlessly transform data into dynamic knowledge graphs and then use it to craft content, that's uniquely you backed by your knowledge. In a sea of sameness brimming with AI-spitted content, your authentic knowledge is your power. Craft content that's uniquely you. Import your tweets, YouTube videos, documents & saved URLs. Watch as your content takes on a new dimension. AI-enhanced, context-aware content. From writing assistance to a co-pilot, explore a world of use cases. From writing assistance to a personal chatbot, explore a world of use cases. Let your unique knowledge unlock your creative potential. Get a knowledge graph auto-created on all the data you ingest. No more summarising and linking content on markdown. We will transform your data and create a knowledge graph. We guide you through the essentials and handle the rest. Pull in all the data you want to use, and then we’ll inform you once the playground is ready. -
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Wikimedia Enterprise
Wikimedia Enterprise
Retrieve data from Wikimedia projects in any language, access metadata packaged exclusively for Wikimedia Enterprise, and detect vandalism or important updates at the article level. Unleash the potential within your own organization. Use Wikimedia Enterprise to build knowledge graphs, voice assistants or bots, training models, massive enriched datasets, and so much more. Access one of the largest public data sources on the internet with a single unified structure and guaranteed availability. Great for voice assistants, populating search engines, training machine learning models, augmenting private data sets, and much more. Enable your entire organization with a knowledge graph that can be consumed across teams.Starting Price: $.01 per request -
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Knidal
Knidal
Knidal is a no-code platform designed to help businesses and creators build AI-ready knowledge applications effortlessly. Deliver multimedia-rich content—text, images, videos, and more—across web, mobile, and digital channels with seamless accessibility. Whether your users are on land, in the air, or at sea, Knidal ensures consistent, reliable knowledge delivery anytime, anywhere. Our platform features instant search capabilities, drag-and-drop content management, offline support, and API integrations, making it ideal for creating branded apps without the need for coding expertise. With robust access controls, you can publish private or public content tailored to your audience. Knidal also enables businesses to integrate their knowledge into AI systems using accurate, API-driven knowledge graphs. Empower your team or customers with next-generation knowledge applications. Start building today and redefine how knowledge is accessed and delivered!Starting Price: $25000 per module per year -
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Eclipse CDT
Eclipse Foundation
The CDT Project provides a fully functional C and C++ integrated development environment based on the Eclipse platform. Features include support for project creation and managed build for various toolchains, standard make build, source navigation, various source knowledge tools, such as type hierarchy, call graph, include browser, macro definition browser, code editor with syntax highlighting, folding and hyperlink navigation, source code refactoring and code generation, visual debugging tools, including memory, registers, and disassembly viewers. Adds concept of build configuration to the core model. Allows assignment of toolchains to standard makefile projects. Combined previous standard and managed project wizards. User selects project types and toolchains. Parameterized templates to help populate new projects. Very flexible, template actions written with the plug-in. Semantic highlighting amongst other editor improvements. -
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RDFox
Oxford Semantic Technologies
The world's most performant knowledge graph and semantic reasoning engine. Founded by three professors at the University of Oxford, Oxford Semantic Technologies emerged as a result of extensive research into Knowledge Representation and Reasoning (KRR), out of which came the most powerful knowledge graph and semantic reasoning engine on the market today, RDFox. As an AI reasoning engine, RDFox mirrors human reasoning principles. With unrivaled reasoning capabilities, relying on accuracy, truth, and explainability, it empowers the next generation of AI applications. By inferring new knowledge exclusively from factual data, RDFox ensures results are firmly grounded in reality. RDFox’s incremental reasoning capabilities cause the consequences of the rules-based AI to be applied to the database in real-time as data is added, changed, or removed, all without needing a restart. Only the relevant information is updated without needing to reanalyze the entire data set.Starting Price: Free -
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WunderGraph Cosmo
WunderGraph
WunderGraph is an open source, next-generation API platform designed to unify, manage, and accelerate how developers compose, integrate, and serve APIs from diverse backends (such as REST, gRPC, Kafka, and GraphQL) into a single, type-safe, high-performance API surface that modern applications can consume. It includes Cosmo, a full lifecycle API management solution for federated GraphQL that provides schema registry, composition checks, routing, analytics, metrics, tracing, and observability, all manageable via code in your existing development workflows rather than separate dashboards. WunderGraph lets teams define how multiple services should be composed into one API, automatically generate type-safe client libraries, and handle authentication, authorization, and API calls with built-in tooling that fits into CI/CD and Git-centric processes.Starting Price: $499 per month -
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Knowing
Knowing
Introducing Knowing, the revolutionary tree view app that transforms how you organize and interact with your ideas. With Knowing, you can seamlessly structure your concepts in a hierarchical format while directly collaborating with AI, ensuring you always see the full picture. An elegant and intuitive design that prioritizes functionality without clutter, making organization effortless and powerful. Mirrors human thought processes with a hierarchical structure, allowing for multidimensional organization and complex interconnections. Interact with LLMs directly within your knowledge structure to add, remove, or modify ideas effortlessly. Create and execute custom actions within your knowledge graph to automate and enhance your workflow. Intuitive drag-and-drop and keyboard shortcuts make restructuring your projects quick and painless. Share and collaborate on knowledge structures with your team, ensuring seamless access and teamwork from anywhere.Starting Price: Free -
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Logseq
Logseq
Logseq is a joyful, open-source outliner that works on top of local plain-text Markdown and Org-mode files. Use it to write, organize and share your thoughts, keep your to-do list, and build your own digital garden. Connect your ideas and thoughts with Logseq. Your knowledge graph grows just as your brain generates and connects neurons from new knowledge and ideas. Organize your tasks and projects with built-in workflow commands like now/later/done, a/b/c priorities and repeated scheduled/deadlines. Moreover, Logseq comes with powerful query system to help you get insights and build your own workflow. -
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Neuradocs
Neuradocs
Neuradocs is an AI-powered platform that automates customer support within community channels like Slack and Discord. Connecting to your existing knowledge base delivers instant, accurate responses to user inquiries, enhancing engagement and efficiency. The setup involves three steps: linking your knowledge base, adding Neuradocs to your public-facing channels, and allowing it to manage user questions autonomously. As your knowledge base evolves, Neuradocs continuously ingests new information to ensure up-to-date responses. It also builds a knowledge graph of your support experts, tagging them to address questions beyond their current scope, ensuring no query goes unanswered. Neuradocs integrates with platforms such as Slack, Discord, and GitHub Discussions, and can connect to various content repositories, including websites and help centers. Designed for businesses, startups, and organizations aiming to improve customer support and engagement. -
36
Athens
Athens
Athens is a private, open-source tool for technology pioneers. Dynamically create, connect, and compound your research and documentation using a collaborative knowledge graph. Learn new research workflows, connect with 2,500+ people who love learning, and weigh in on the future of self-hosted knowledge graphs. The problem today is that we are getting drowned in information. If we don't take notes, we forget everything. So we take notes, but then we have too many notes! Search doesn't work. Folders don't work. And no one does tagging. Athens lets you take notes without praying to the search gods, without double-clicking endlessly on folders, and without manual tagging. Athens Research is a remote learning community building the most powerful and transparent, open-source knowledge base; the result is Athens: a free knowledge graph for research and notetaking. Athens is open-source, private, extensible, and community-driven. -
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Head AI
Head AI
Headai is a decision-intelligence platform that transforms complex, fragmented, and unstructured data into actionable insights through sophisticated AI techniques such as knowledge graphs, predictive signals, and natural language processing. It ingests both structured and unstructured inputs, ranging from databases and APIs to text documents and news media, and constructs interactive knowledge graphs that reveal contextual relationships, emerging trends, and thematic patterns. Core features include extracting metadata and keywords from large text corpora, dynamically adapting and organizing datasets through labeling and topic extension, and generating scorecards for KPI or benchmark comparisons. With its “Compass” tool, users can simulate scenarios, prioritize strategic actions, and guide skills development and decision-making. Insights can be explored via open-source visualizers or seamlessly exported to BI platforms and workflows through JSON/CSV outputs and APIs. -
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Hika AI
Hika AI
Hika AI is a free, intelligent search engine that provides advanced insights and interactive exploration through personalized knowledge graphs. It enhances the learning experience by offering multi-dimensional insights and facilitating effortless knowledge discovery.Starting Price: Free -
39
Figmap
Figmap.ai
Figmap.ai is an innovative AI-powered learning platform that transforms complex topics into clear, visual roadmaps through interactive mind maps and knowledge graphs. Our platform leverages AI technology to create personalized learning paths, making knowledge acquisition more efficient and engaging through visual exploration. By combining WikiGraphs, AI-powered explanations, and curated resources, Figmap revolutionizes the learning experience by making complex subjects approachable and interconnected. -
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Lettria
Lettria
Lettria offers a powerful AI platform known as GraphRAG, designed to enhance the accuracy and reliability of generative AI applications. By combining the strengths of knowledge graphs and vector-based AI models, Lettria ensures that businesses can extract verifiable answers from complex and unstructured data. The platform helps automate tasks like document parsing, data model enrichment, and text classification, making it ideal for industries such as healthcare, finance, and legal. Lettria’s AI solutions prevent hallucinations in AI outputs, ensuring transparency and trust in AI-generated results.Starting Price: €600 per month -
41
Dgraph
Hypermode
Dgraph is an open source, low-latency, high throughput, native and distributed graph database. Designed to easily scale to meet the needs of small startups as well as large companies with massive amounts of data, DGraph can handle terabytes of structured data running on commodity hardware with low latency for real time user queries. It addresses business needs and uses cases involving diverse social and knowledge graphs, real-time recommendation engines, semantic search, pattern matching and fraud detection, serving relationship data, and serving web apps. -
42
Virtuoso
OpenLink Software
Virtuoso Universal Server is a modern platform built on existing open standards that harnesses the power of Hyperlinks ( functioning as Super Keys ) for breaking down data silos that impede both user and enterprise ability. Using Virtuoso, you can easily generate financial profile knowledge graphs from near real time financial activity that reduce the cost and complexity associated with detecting fraudent activity patterns. Courtesy of its high-performance, secure, and scalable dbms engine, you can use intelligent reasoning and inference to harmonize fragmented identities using personally identifying attributes such as email addresses, phone numbers, social-security numbers, drivers licenses, etc. for building fraud detection solutions. Virtuoso helps you build powerful solutions applications driven by knowledge graphs derived from a variety of life sciences oriented data sources.Starting Price: $42 per month -
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InfiniteGraph
Objectivity
InfiniteGraph is a massively scalable graph database specifically designed to excel at high-speed ingest of massive volumes of data (billions of nodes and edges per hour) while supporting complex queries. InfiniteGraph can seamlessly distribute connected graph data across a global enterprise. InfiniteGraph is a schema-based graph database that supports highly complex data models. It also has an advanced schema evolution capability that allows you to modify and evolve the schema of an existing database. InfiniteGraph’s Placement Management Capability allows you to optimize the placement of data items resulting in tremendous performance improvements in both query and ingest. InfiniteGraph has client-side caching which caches frequently used node and edges. InfiniteGraph's DO query language enables complex "beyond graph" queries not supported by other query languages. -
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100x
100x
100X is an AI-powered platform designed to troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to pinpoint problems and remediate issues. It operates through a multi-step process: connecting to your environment to build a comprehensive knowledge graph, automatically investigating every incoming alert or support ticket, dynamically querying telemetry and connecting signals across systems, isolating specific system issues with supporting evidence, suggesting proven fixes with relevant context, and learning from every resolution by capturing commands, fixes, and failure patterns discovered by your team. 100X integrates with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, and can be deployed within your cloud environment, ensuring data is accessed, processed, and stored entirely within your cloud boundary. -
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Deductive AI
Deductive AI
Deductive AI is a cutting-edge platform that redefines how organizations handle complex system failures. By connecting your entire codebase with telemetry data, encompassing metrics, events, logs, and traces, Deductive AI empowers teams to pinpoint the root cause of issues with unprecedented precision and speed. It streamlines the process of debugging, significantly reducing downtime and improving overall system reliability. Deductive AI integrates with your codebase and observability tools, creating a unified knowledge graph powered by a code-aware reasoning engine to diagnose root causes like an expert engineer. It builds a knowledge graph with millions of nodes in seconds, uncovering deep relationships between codebase and telemetry data. It orchestrates hundreds of specialized AI agents to search, discover, and analyze breadcrumbs of root cause spread across all connected sources. -
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Synaptica Graphite
Synaptica
Synaptica’s Graphite is a powerful tool for quickly designing, building, and managing Knowledge Organization Systems (KOS) using an intuitive graphical user interface. Graphite is based on Linked Data and Semantic Web standards and utilizes native RDF concept modeling. Powered by a graph database, Graphite offers speed and flexibility in the creation and management of various types of controlled vocabularies including taxonomies and ontologies. Quickly design, build, and manage enterprise Knowledge Organization Systems using an intuitive drag-and-drop graphical user interface and workflow. Centralize metadata KOS for rapid delivery to siloed information systems. Reuse schema templates to build standards-compliant KOS and EKGs in minutes. Reduce project costs and fast-track deliverables with libraries of public domain vocabularies. -
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Apollo GraphOS
Apollo GraphQL
Apollo GraphOS is an API orchestration platform designed to help teams build, scale, and manage a unified supergraph across any number of services and applications. It brings together a secure, high-performance runtime layer with a centralized cloud management plane for seamless collaboration. Developers can unify REST APIs using Apollo Connectors, making it easy to migrate or integrate systems into GraphQL Federation. The GraphOS Router provides real-time capabilities, advanced caching, policy enforcement, and observability for large, distributed architectures. GraphOS Studio further enhances workflows with schema collaboration, CI/CD integration, and tooling that accelerates development. With flexible hosting options, GraphOS simplifies the delivery of modern, scalable GraphQL experiences.Starting Price: $49 per month -
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Augoor
Augoor
Augoor transforms static code into dynamic knowledge, enabling teams to navigate, document, and optimize complex systems effortlessly. By extracting structures, relationships, and context, Augoor builds a living knowledge graph that accelerates the development lifecycle. Its AI-driven code navigation tool accelerates new developer productivity, integrating them into projects from day one. Augoor reduces maintenance efforts and enhances code integrity by pinpointing problematic code segments, saving costs, and reinforcing your codebase. It automatically generates clear, updated code explanations, preserving knowledge, especially for complex legacy systems. The AI navigation system cuts down time spent searching through code, allowing developers to focus more on coding, speeding up feature development, and fostering innovation in large codebases. Augoor's advanced AI-driven visualizations uncover hidden patterns, map complex dependencies, and reveal critical relationships. -
49
Epsilla
Epsilla
Manages the entire lifecycle of LLM application development, testing, deployment, and operation without the need to piece together multiple systems. Achieving the lowest total cost of ownership (TCO). Featuring the vector database and search engine that outperforms all other leading vendors with 10X lower query latency, 5X higher query throughput, and 3X lower cost. An innovative data and knowledge foundation that efficiently manages large-scale, multi-modality unstructured and structured data. Never have to worry about outdated information. Plug and play with state-of-the-art advanced, modular, agentic RAG and GraphRAG techniques without writing plumbing code. With CI/CD-style evaluations, you can confidently make configuration changes to your AI applications without worrying about regressions. Accelerate your iterations and move to production in days, not months. Fine-grained, role-based, and privilege-based access control.Starting Price: $29 per month -
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Constella
Constella
Constella is a personal knowledge management application that enables users to capture, organize, and connect their ideas efficiently. It offers rapid note-taking capabilities, allowing users to quickly jot down thoughts by typing and pressing enter in the search bar or directly on the visual graph interface. As new notes are added, related past thoughts automatically appear, facilitating the building upon existing knowledge. The visual graph-based interface displays connections between ideas, eliminating the need for manual linking. The free-flow jotting pad presents related notes alongside current writing, enabling users to drag and drop important ideas onto the graph for future retrieval. Constella is available for iOS, Android, and Windows, offering cross-platform synchronization to capture, search, and connect ideas on the go. It ensures complete privacy by storing notes locally and providing control over information shared with Stella, the integrated personal assistant.Starting Price: $5.99 per month
