Alternatives to Superexpert.AI
Compare Superexpert.AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Superexpert.AI in 2026. Compare features, ratings, user reviews, pricing, and more from Superexpert.AI competitors and alternatives in order to make an informed decision for your business.
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1
StackAI
StackAI
StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. With StackAI you can: • Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls. • Deploy AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow. • Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls. • Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing. • Start fast with templates for Contract Analyzer, Support Desk, RFP Response, Investment Memo Generator, and more. -
2
Langflow
Langflow
Langflow is a low-code AI builder designed to create agentic and retrieval-augmented generation applications. It offers a visual interface that allows developers to construct complex AI workflows through drag-and-drop components, facilitating rapid experimentation and prototyping. The platform is Python-based and agnostic to any model, API, or database, enabling seamless integration with various tools and stacks. Langflow supports the development of intelligent chatbots, document analysis systems, and multi-agent applications. It provides features such as dynamic input variables, fine-tuning capabilities, and the ability to create custom components. Additionally, Langflow integrates with numerous services, including Cohere, Bing, Anthropic, HuggingFace, OpenAI, and Pinecone, among others. Developers can utilize pre-built components or code their own, enhancing flexibility in AI application development. The platform also offers a free cloud service for quick deployment and test -
3
AgentX
AgentX
Create a multi-model AI agent with your own data. Leverage LLM ChatGPT, GPT4, Gemini, Anthropic, or more. Instantly deploy your AI agent to any of your web builders such as WordPress, Webflow, Shopify, Squarespace, and more. Present next-generation artificial intelligence chatbot. Build and give your AI agent a name, define its bio, describe his duty, and provide knowledge of your choice. Build your ChatGPT with no code needed to build. Teach your AI agent in natural language with no code needed. Tune it to fit your needs in real time. We support multi-channel integration and deploy customized ChatGPT to Slack, WhatsApp, email, text, and more. Empower your business with AI agent customized ChatGPT. Users can like, subscribe, and chat with community agents created by other users, and of course, you can share yours. AgentX provides a multi-model mix-match building experience. You can choose LLM (large language model) from different vendors.Starting Price: $19 per month -
4
kagent
kagent
kagent is an open source, cloud-native AI agent framework designed to let teams build, deploy, and run autonomous AI agents directly inside Kubernetes clusters to automate complex operational tasks, troubleshoot cloud-native systems, and manage workloads without constant human intervention. It enables DevOps and platform engineers to create intelligent agents that understand natural language, plan, reason, and execute multi-step actions across Kubernetes environments using built-in tools and Model Context Protocol (MCP)-compatible tool integrations for functions like querying metrics, displaying pod logs, managing resources, and interacting with service meshes. It supports multiple model providers (such as OpenAI, Anthropic, and others), agent-to-agent communication for orchestrating sophisticated workflows, and observability features that help teams monitor agent behavior and performance.Starting Price: Free -
5
Vertesia
Vertesia
Vertesia is a unified, low-code generative AI platform that enables enterprise teams to rapidly build, deploy, and operate GenAI applications and agents at scale. Designed for both business professionals and IT specialists, Vertesia offers a frictionless development experience, allowing users to go from prototype to production without extensive timelines or heavy infrastructure. It supports multiple generative AI models from leading inference providers, providing flexibility and preventing vendor lock-in. Vertesia's agentic retrieval-augmented generation (RAG) pipeline enhances generative AI accuracy and performance by automating and accelerating content preparation, including intelligent document processing and semantic chunking. With enterprise-grade security, SOC2 compliance, and support for leading cloud infrastructures like AWS, GCP, and Azure, Vertesia ensures secure and scalable deployments. -
6
Oracle AI Agent Platform
Oracle
Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.Starting Price: $0.003 per 10,000 transactions -
7
BabyAGI
BabyAGI
This Python script is an example of an AI-powered task management system. The system uses OpenAI and Chroma to create, prioritize, and execute tasks. The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective. The script then uses OpenAI's natural language processing (NLP) capabilities to create new tasks based on the objective, and Chroma to store and retrieve task results for context. This is a pared-down version of the original Task-Driven Autonomous Agent. The script works by running an infinite loop that does the following steps: 1. Pulls the first task from the task list. 2. Sends the task to the execution agent, which uses OpenAI's API to complete the task based on the context. 3. Enriches the result and stores it in Chroma. 4. Creates new tasks and reprioritizes the task list based on the objective and the result of the previous task.Starting Price: Free -
8
Ninja AI
NinjaTech AI
Ninja AI combines the best AI agents and models in the world under one affordable, monthly subscription. Ninja can help you accomplish more everyday, including, research, writing, file analysis, image generation, code generation, and meeting scheduling. Get access to the best AI models from Meta, OpenAI, Anthropic, Google, and more. Easily choose the models you want to use for each tasks, and easily compare answers across AI models. Plans with unlimited tasks starting from as low as $5/month.Starting Price: $5/month -
9
Strands Agents
Strands Agents
Strands Agents is a lightweight, code-first framework for building AI agents, designed to simplify agent development by leveraging the reasoning capabilities of modern language models. Developers can create agents with just a few lines of Python code, defining a prompt and a list of tools, allowing the agent to autonomously execute complex tasks. It supports multiple model providers, including Amazon Bedrock (defaulting to Claude 3.7 Sonnet), Anthropic, OpenAI, and more, offering flexibility in model selection. Strands Agents features a customizable agent loop that processes user input, decides on tool usage, executes tools, and generates responses, supporting both streaming and non-streaming interactions. Built-in tools and the ability to add custom tools enable agents to perform a wide range of actions beyond simple text generation.Starting Price: Free -
10
TEN
TEN
TEN (Transformative Extensions Network) is an open source framework designed to empower developers to build real-time multimodal AI agents capable of voice, video, text, image, and data-stream interaction with ultra-low latency. It includes a full ecosystem, TEN Turn Detection, TEN Agent, and TMAN Designer, allowing developers to rapidly assemble human-like, responsive agents that can see, speak, hear, and interact. With support for languages like Python, C++, and Go, it offers flexible deployment on both edge and cloud environments. Using components like graph-based workflow design, drag-and-drop UI (via TMAN Designer), and reusable extensions such as real-time avatars, RAG (Retrieval-Augmented Generation), and image generation, TEN enables highly customizable, scalable agent development with minimal code.Starting Price: Free -
11
LaunchLemonade
LaunchLemonade
LaunchLemonade enables businesses to build, deploy, and scale custom AI agents without coding, allowing these agents to work 24/7 for tasks such as lead conversion, marketing, customer support, and internal operations. The platform offers a visual, no-code interface to design AI assistants, connect them to data sources (like Notion, Google Drive, etc.), integrate with automation tools (e.g., through Zapier), and embed the resulting agents into websites or workflows. Users can leverage multi-model support, workflows of multiple agents, knowledge-base uploads, and seamless integration with existing tech stacks. The service positions itself as a “Shopify or WordPress of AI agent building” and targets agencies, SMBs, and service professionals who want to launch AI-powered assistants without hiring engineers.Starting Price: $25 per month -
12
Second Me
Second Me
Second Me is the first open-source AI identity system that delivers 100% private, deeply personalized AI agents built specifically to represent your authentic self. It doesn't just learn your preferences, it comprehends your unique thinking patterns, represents you across different contexts, forms collaborative networks with other Second Mes, and creates new value in the emerging agent economy. Second Me features Hierarchical Memory Modeling (HMM), a three-layer structure that enables your AI self to rapidly recognize patterns, adapt, and evolve alongside you. Its Personalized Alignment Architecture (Me-alignment) transforms your scattered data into deep personalized understanding, outperforming leading retrieval-augmented generation models by 37% in user understanding. Operating with 100% privacy, Second Me can run locally, ensuring you retain complete control over your personal data, sharing it only with your explicit permission. -
13
PydanticAI
Pydantic
PydanticAI is a Python-based agent framework designed to simplify the development of production-grade applications using generative AI. Built by the team behind Pydantic, the framework integrates seamlessly with popular AI models such as OpenAI, Anthropic, Gemini, and others. It offers type-safe design, real-time debugging, and performance monitoring through Pydantic Logfire. PydanticAI also provides structured responses by leveraging Pydantic to validate model outputs, ensuring consistency. The framework includes a dependency injection system to support iterative development and testing, as well as the ability to stream LLM outputs for rapid validation. It is ideal for AI-driven projects that require flexible and efficient agent composition using standard Python best practices. We built PydanticAI with one simple aim: to bring that FastAPI feeling to GenAI app development.Starting Price: Free -
14
Agent S
Simular
Agent S is an open-source agentic framework built to enable autonomous computer use through an Agent-Computer Interface (ACI). It allows AI agents to operate graphical user interfaces similarly to humans by perceiving screens, reasoning through objectives, and executing actions across macOS, Windows, and Linux systems. The latest release, Agent S3, achieves state-of-the-art results on the OSWorld benchmark and surpasses human-level performance in complex multi-step computer tasks. By combining powerful foundation models such as GPT-5 with grounding models like UI-TARS, the framework translates visual inputs into accurate executable commands. Agent S supports multiple deployment options, including CLI, SDK, and cloud environments. It integrates seamlessly with leading model providers such as OpenAI, Anthropic, Gemini, Azure, and Hugging Face endpoints. -
15
Cognee
Cognee
Cognee is an open source AI memory engine that transforms raw data into structured knowledge graphs, enhancing the accuracy and contextual understanding of AI agents. It supports various data types, including unstructured text, media files, PDFs, and tables, and integrates seamlessly with several data sources. Cognee employs modular ECL pipelines to process and organize data, enabling AI agents to retrieve relevant information efficiently. It is compatible with vector and graph databases and supports LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include customizable storage options, RDF-based ontologies for smart data structuring, and the ability to run on-premises, ensuring data privacy and compliance. Cognee's distributed system is scalable, capable of handling large volumes of data, and is designed to reduce AI hallucinations by providing AI agents with a coherent and interconnected data landscape.Starting Price: $25 per month -
16
Amazon Bedrock
Amazon
Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications by providing access to a variety of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can experiment with these models, customize them using techniques like fine-tuning and Retrieval Augmented Generation (RAG), and create agents that interact with enterprise systems and data sources. As a serverless platform, Amazon Bedrock eliminates the need for infrastructure management, allowing seamless integration of generative AI capabilities into applications with a focus on security, privacy, and responsible AI practices. -
17
Flowise
Flowise AI
Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.Starting Price: Free -
18
Intuist AI
Intuist AI
Intuist.ai is a platform that simplifies AI deployment by enabling users to build and deploy secure, scalable, and intelligent AI agents in three simple steps. First, users select from various agent types, including customer support, data analysis, and planning. Next, they add data sources such as webpages, documents, Google Drive, or APIs to power their AI agents. Finally, they train and deploy the agents as JavaScript widgets, webpages, or APIs as a service. It offers enterprise-grade security with granular user access controls and supports diverse data sources, including websites, documents, APIs, audio, and video. Customization options allow for brand-specific identity features, and comprehensive analytics provide actionable insights. Integration is seamless, with robust Retrieval-Augmented Generation (RAG) APIs and a no-code platform for quick deployments. Enhanced engagement features include embeddable agents for instant website integration. -
19
Intervo.ai
Intervo.ai
Intervo is an open source, enterprise-grade voice and chat AI agent platform designed to automate real-time customer interactions across voice and text channels. It allows businesses to build, train, and deploy custom agents in minutes without code; you define the agent’s purpose, upload domain knowledge (documents, files), choose a voice engine (e.g., ElevenLabs, Azure), and publish it to embedded channels. Its agents support use cases like lead qualification, customer support, AI receptionist/scheduling, interactive product assistance, and internal help agents (for HR, IT, etc.). They can integrate with telephony via Twilio, connect to multiple LLM backends (OpenAI, Claude, Gemini), orchestrate AI workflows, and embed on websites as widgets. It emphasizes scalability, compliance, and flexibility, letting organizations embed context-aware conversational agents that understand complex queries, route calls, and interact via speech or chat.Starting Price: $10 per month -
20
Smolagents
Smolagents
Smolagents is an AI agent framework developed to simplify the creation and deployment of intelligent agents with minimal code. It supports code-first agents where agents execute Python code snippets to perform tasks, offering enhanced efficiency compared to traditional JSON-based approaches. Smolagents integrates with large language models like those from Hugging Face, OpenAI, and others, enabling developers to create agents that can control workflows, call functions, and interact with external systems. The framework is designed to be user-friendly, requiring only a few lines of code to define and execute agents. It features secure execution environments, such as sandboxed spaces, for safe code running. Smolagents also promotes collaboration by integrating deeply with the Hugging Face Hub, allowing users to share and import tools. It supports a variety of use cases, from simple tasks to multi-agent workflows, offering flexibility and performance improvements. -
21
Runbear
Runbear
Runbear is a no-code platform that enables teams to create AI agents integrated with popular communication and productivity tools like Slack, Teams, HubSpot, and more. It allows users to build custom AI assistants quickly, typically within 10 minutes, without requiring technical expertise. Runbear helps automate repetitive tasks, streamline internal communication, and manage AI agents tailored for different teams all from a single interface. The platform supports integrations with AI models like OpenAI, Claude, and Gemini, combined with content management systems such as Google Drive, Notion, and Confluence. Use cases include automating meeting preparation, summarizing Slack threads, analyzing Airtable data through natural language, and enabling AI to suggest answers in Slack channels. Customer testimonials highlight Runbear’s ease of use and the significant efficiency gains achieved by integrating AI directly into workflows.Starting Price: $79 per month -
22
AgentForge
AgentForge
AgentForge is a comprehensive SaaS platform that streamlines the creation and customization of AI agents. It offers a fully integrated NextJS boilerplate, enabling users to build, deploy, and test AI applications efficiently. The platform includes pre-built AI agents, customizable graphs, reusable UI components, and an interactive playground for experimentation. AgentForge seamlessly integrates with popular AI tools such as Langchain, Langgraph, Langsmith, OpenAI, Groq, and Llamma, providing all the necessary building blocks for AI application development. With features like observability through Langsmith and over 20 themes via daisyUI, it caters to both small projects and more advanced needs. The platform's straightforward pricing model involves a one-time payment for lifetime access to all features, updates, and improvements, eliminating recurring subscription fees. AgentForge is designed to simplify AI development, making it accessible for developers and businesses.Starting Price: $99 per month -
23
Gobii
Gobii
Gobii is a cloud-hosted platform that enables you to spin up fully managed browser-automation agents via API, allowing tasks like web-based research, form-filling, data extraction, and multi-step workflows to be automated at scale. These agents operate like “always-on employees” that can browse websites, even those without APIs, navigate dynamic content, handle JavaScript, and even rotate proxies automatically. Users can create agents, assign them prompts or tasks, and retrieve structured JSON outputs or live previews of the agent’s browser actions. Gobii supports synchronous and asynchronous task execution, secret handling for things like login credentials, schema-enforced output validation, and integrates with popular programming languages (Python, Node.js) for seamless implementation. The platform emphasises scalability (hundreds of tasks in parallel), enterprise-grade security (audit logs, proxies, task management), and a simple developer experience.Starting Price: $30 per month -
24
OpenAI Agents SDK
OpenAI
The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. The Agents SDK has a very small set of primitives, agents, which are LLMs equipped with instructions and tools; handoffs, which allow agents to delegate to other agents for specific tasks; and guardrails, which enable the inputs to agents to be validated. In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. In addition, the SDK comes with built-in tracing that lets you visualize and debug your agentic flows, evaluate them, and even fine-tune models for your application.Starting Price: Free -
25
Mastra AI
Mastra AI
Mastra is a powerful TypeScript framework for building intelligent AI agents that can execute tasks, access knowledge bases, and maintain memory persistently within workflows. This framework simplifies the process of creating and deploying AI-powered agents by leveraging TypeScript’s capabilities to streamline development. With features like customizable agent instructions, memory, and task orchestration, Mastra provides developers with the tools to build and scale AI agents for various applications, from personal assistants to specialized domain experts.Starting Price: Free -
26
Agent Development Kit (ADK)
Google
The Agent Development Kit (ADK) is a flexible, open-source framework for building and deploying AI agents. It is tightly integrated with Google’s ecosystem, including Gemini models, and supports popular large language models (LLMs). ADK simplifies the development of both simple and complex AI agents, providing a structured environment for building dynamic workflows and multi-agent systems. With built-in tools for orchestration, deployment, and evaluation, ADK helps developers create scalable, modular AI solutions that can be easily deployed on platforms like Vertex AI or Cloud Run.Starting Price: Free -
27
Nanobrowser
Nanobrowser
Nanobrowser is an open-source, AI-powered web automation tool that runs directly in your browser, providing an alternative to costly services like OpenAI Operator. It features a multi-agent system, where specialized AI agents work together to handle complex web workflows efficiently. Nanobrowser offers flexible LLM (Large Language Model) options, enabling users to connect to various providers like OpenAI, Anthropic, and Gemini. The platform is privacy-focused, with everything running locally in the browser to ensure user credentials remain secure. As a free tool, it provides powerful web automation capabilities without the high subscription fees.Starting Price: Free -
28
Gemini Enterprise
Google
Gemini Enterprise is a comprehensive AI platform built by Google Cloud designed to bring the full power of Google’s advanced AI models, agent-creation tools, and enterprise-grade data access into everyday workflows. The solution offers a unified chat interface that lets employees interact with internal documents, applications, data sources, and custom AI agents. At its core, Gemini Enterprise comprises six key components: the Gemini family of large multimodal models, an agent orchestration workbench (formerly Google Agentspace), pre-built starter agents, robust data-integration connectors to business systems, extensive security and governance controls, and a partner ecosystem for tailored integrations. It is engineered to scale across departments and enterprises, enabling users to build no-code or low-code agents that automate tasks, such as research synthesis, customer support response, code assist, contract analysis, and more, while operating within corporate compliance standards.Starting Price: $21 per month -
29
bolt.diy
bolt.diy
bolt.diy is an open-source platform that enables developers to easily create, run, edit, and deploy full-stack web applications with a variety of large language models (LLMs). It supports a wide range of models, including OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. The platform offers seamless integration through the Vercel AI SDK, allowing users to customize and extend their applications with the LLMs of their choice. With its intuitive interface, bolt.diy is designed to simplify AI development workflows, making it a great tool for both experimentation and production-ready applications.Starting Price: Free -
30
AgentSea
AgentSea
AgentSea is an open source platform designed to build, deploy, and share AI agents with ease. It delivers a collection of libraries and tools for building AI agent apps, favoring the UNIX philosophy of doing one thing well. Tools can be used individually or stacked together into a single agent app, and are compatible with frameworks like LlamaIndex and LangChain. Key components include SurfKit, a Kubernetes-style orchestrator for agents; DeviceBay, offering pluggable devices like file systems and desktops; ToolFuse, a library that wraps scripts, third-party apps, and APIs as Tool implementations; AgentD, a daemon making a Linux desktop OS accessible to bots; AgentDesk, a library for running AgentD-powered VMs; Taskara, for task management; ThreadMem, for building multi-role persistent threads; and MLLM, simplifying communication with multiple LLMs and multimodal LLMs. AgentSea also offers alpha agents like SurfPizza and SurfSlicer, which navigate GUIs using multimodal approaches.Starting Price: Free -
31
SmythOS
SmythOS
Say goodbye to manual coding and build agents faster than ever. Describe what you need, and SmythOS builds it from your chat or image, using the best AI models and APIs for your task. Use any AI model or API. Integrate with OpenAI, Hugging Face, Amazon Bedrock, and hundreds of vendors without a line of code. A pre-built agent template library gives you agents that already work out of the box for dozens of use cases. Just hit the button and connect with your own API keys. Because your marketing team should not have access to agents that work with your code. We got you covered. Create a space for each client, team, and project with full user and permission management. Deploy on-prem or to AWS. Integrate with Bedrock, Vertex, Adobe, Salesforce, etc. Explainable AI with full control over data flows, audit logs, encryption, and auth. Chat with your agents, give them bulk work, inspect their work logs, assign them work schedules, and more.Starting Price: $30 per month -
32
RoboWork
RoboWork
RoboWork is an all-in-one AI automation platform to create specialized AI agents, chain them into multi-agent workflows, and deploy them internally or publicly in minutes—without writing code. It supports human-in-the-loop reviews, auto-planning and self-reflection, and integrates with your stack via the Model Context Protocol (MCP) and a REST API. The platform unifies top models (ChatGPT, Claude, Gemini, and RoboWorkAI) with auto-selection, provides knowledge bases trained from your files and websites, and offers one-click deploy, embedding, and white-label options. Designed for individuals through enterprises, RoboWork powers 10K+ teams, 50M+ automated tasks, with 99.9% uptime and SOC 2–aligned practices. Common use cases include sales outreach, content operations, customer support, data processing, and back-office automations. -
33
mcp-use
mcp-use
mcp-use is an open source development platform offering SDKs, cloud infrastructure, and a developer-friendly control plane for building, managing, and deploying AI agents that leverage the Model Context Protocol (MCP). It enables connection to multiple MCP servers, each exposing specific tool capabilities like browsing, file operations, or specialized integrations, through a unified MCPClient. Developers can create custom agents (via MCPAgent) that dynamically select the most appropriate server for each task using configurable pipelines or a built-in server manager. It simplifies authentication, access control, audit logging, observability, sandboxed runtime environments, and deployment workflows, whether self-hosted or managed, making MCP development production-ready. With integrations for popular frameworks like LangChain (Python) and LangChain.js (TypeScript), mcp-use accelerates the creation of tool-enabled AI agents.Starting Price: Free -
34
Crush
Charm
Crush is a glamorous AI coding agent that lives right in your terminal, seamlessly connecting your tools, code, and workflows with any Large Language Model (LLM) of your choice. It offers multi-model flexibility, letting you choose from a variety of LLMs or add your own using OpenAI or Anthropic-compatible APIs, and supports mid-session switching between them while preserving context. Crush is session-based, enabling multiple project-specific contexts to coexist. Powered by Language Server Protocol (LSP) enhancements, it incorporates coding-aware context just like a developer’s editor. It's highly extensible via Model Context Protocol (MCP) plugins using HTTP, stdio, or SSE for added capabilities. Crush runs anywhere, leveraging Charm’s sleek Bubble Tea-based TUI for a polished terminal user experience. Written in Go and MIT-licensed (with FSL-1.1 for trademarks), enabling developers to stay in their terminal while taking advantage of expressive AI coding assistance.Starting Price: Free -
35
VoltAgent
VoltAgent
VoltAgent is an open source TypeScript AI agent framework that enables developers to build, customize, and orchestrate AI agents with full control, speed, and a great developer experience. It provides a complete toolkit for enterprise-level AI agents, allowing the design of production-ready agents with unified APIs, tools, and memory. VoltAgent supports tool calling, enabling agents to invoke functions, interact with systems, and perform actions. It offers a unified API to seamlessly switch between different AI providers with a simple code update. It includes dynamic prompting to experiment, fine-tune, and iterate AI prompts in an integrated environment. Persistent memory allows agents to store and recall interactions, enhancing their intelligence and context. VoltAgent facilitates intelligent coordination through supervisor agent orchestration, building powerful multi-agent systems with a central supervisor agent that coordinates specialized agents.Starting Price: Free -
36
Parlant
Parlant
Parlant is a production-ready, open source framework for building compliant AI chat agents that reliably follow instructions and scale with complexity. It enables developers to create adaptive, iterative, and explainable conversational agents using natural-language behavior modeling, including guidelines, journeys, canned responses, retrievers, glossaries, and tools, all versionable via Git. Its guidelines let you nudge agent behavior contextually and precisely, while journeys define multi-step interaction flows; canned responses ensure consistency in high-risk scenarios; and explainability tools provide clear visibility into why each decision was made. Tools require matching guidelines to execute, cleanly separating business logic from conversation behavior, enabling developers and business experts to collaborate independently. Built-in features like session persistence, tool result tracking across sessions, and a drop-in React chat widget make it easy to install.Starting Price: Free -
37
Gelt.dev
Gelt.dev
Gelt lets you design, build, and deploy full-stack web applications in minutes - no coding or setup required. Fully agent-powered, Gelt generates production-ready code, fixes errors, and handles deployment automatically. Integrated with Stripe, OpenAI, Anthropic, Google AI, and one-click Vercel deploys, Gelt is up to 40% cheaper than competitors. Perfect for developers, startups, and innovators who want to turn ideas into apps instantly.Starting Price: $8.99/month -
38
Agent Squad
Amazon
Agent Squad is a flexible and powerful open source framework developed by AWS for managing multiple AI agents and handling complex conversations. It enables multi-agent orchestration, allowing seamless coordination and leveraging of multiple AI agents within a single system. It offers dual language support, being fully implemented in both Python and TypeScript. Intelligent intent classification dynamically routes queries to the most suitable agent based on context and content. Agent Squad supports both streaming and non-streaming responses from different agents, ensuring flexible agent responses. It maintains and utilizes conversation context across multiple agents for coherent interactions. The architecture is extensible, allowing easy integration of new agents or customization of existing ones to fit specific needs. Agent Squad can be deployed universally, running anywhere from AWS Lambda to local environments or any cloud platform.Starting Price: Free -
39
Dendrite
Dendrite
Dendrite is a framework-agnostic platform that empowers developers to create web-based tools for AI agents, enabling them to authenticate, interact with, and extract data from any website. By simulating human-like browsing behavior, Dendrite facilitates seamless web navigation and data retrieval for AI applications. The platform offers a Python SDK, providing developers with the necessary tools to build AI agents capable of performing tasks such as interacting with web elements and extracting information. Dendrite's flexibility allows it to integrate with any tech stack, making it a versatile solution for developers aiming to enhance their AI agents' web interaction capabilities. Your Dendrite client syncs with website authentication sessions in your local browser, no need to share or store login credentials. Use our Chrome Extension, Dendrite Vault, to securely share authentication sessions from your browser with the Dendrite client. -
40
Scottie
Scottie
Describe what you need in plain English. Scottie turns it into a working agent you can run on our cloud or export to your own hosting service. Join our waitlist today to secure your spot and get exclusive early access to premium features. Everything you need to build, test, and deploy AI agents in minutes. Pick from today's leading language models and switch anytime without rebuilding (OpenAI, Gemini, Anthropic, Llama, and more). Bring your company knowledge together from Slack, Google Drive, Notion, Confluence, GitHub, and more. Your data stays private and secure. Scottie supports models from all top vendors. Switch models anytime without rebuilding your agents. Scottie agents adapt to different roles and industries, operating exactly how you need them to. The AI tutor analyzes student responses, provides personalized feedback, and adapts difficulty based on performance. -
41
OpenAI Frontier
OpenAI
OpenAI Frontier is a new enterprise AI agent platform that helps businesses build, deploy, manage, and orchestrate fleets of AI agents that can perform real work inside existing systems, workflows, and data environments. It provides a unified framework where organizations can integrate AI agents, whether created by OpenAI or third parties, connect them with internal tools like CRM, data warehouses, ticketing systems, and other enterprise applications, and give them shared context, permissions, memory, and oversight so they can act reliably on business-relevant tasks. Frontier’s goal is to move AI agents from isolated pilots into production by providing features like shared business context, governance controls, onboarding workflows, observability, and secure access boundaries while allowing companies to centralize and scale intelligent automation in a way similar to how HR systems manage human work. -
42
Agent Builder
OpenAI
Agent Builder is part of OpenAI’s tooling for constructing agentic applications, systems that use large language models to perform multi-step tasks autonomously, with governance, tool integration, memory, orchestration, and observability baked in. The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools. -
43
Sim Studio
Sim Studio
Sim Studio is a powerful, AI-native platform for designing, testing, and deploying agentic workflows through an intuitive, Figma-like visual editor that eliminates boilerplate code and infrastructure overhead. Developers can immediately start building multi-agent applications with full control over system prompts, tool definitions, sampling parameters, and structured output formatting, while maintaining the flexibility to switch seamlessly among OpenAI, Anthropic, Claude, Llama, Gemini, and other LLM providers without refactoring. The platform supports full local development via Ollama integration for privacy and cost efficiency during prototyping, then enables scalable cloud deployment when you’re ready. Sim Studio connects your agents to existing tools and data sources in seconds, importing knowledge bases automatically and offering over 40 pre-built integrations. -
44
SpawnHQ
SpawnHQ
SpawnHQ is a software-as-a-service platform that lets users deploy, configure, and manage autonomous AI agents in minutes without writing code or setting up infrastructure by offering a marketplace of pre-built, skill-based agents trained on your brand context that run continuously on managed compute and integrate with tools like Discord, web chat widgets, Twitter, SEO services, and CRMs. Users pick a skill, such as support bot for customer questions, SEO agent for monitoring rankings and drafting content, outbound agent for lead discovery and outreach, or social and content engines, configure integrations and brand context, and deploy agents that act on natural language commands and run 24/7 on autopilot, executing tasks such as research, CRM updates, content generation, and automated responses. It handles managed compute, AI model routing (Claude, GPT, Gemini), scheduling, logs, reporting, and guardrails so agents can think and act independently.Starting Price: $59 per month -
45
RA.Aid
RA.Aid
RA.Aid is an open source AI assistant that autonomously handles research, planning, and implementation to expedite software development processes. Built on LangGraph's agent-based task execution framework, RA.Aid operates through a three-stage architecture. RA.Aid supports multiple AI providers, including Anthropic's Claude, OpenAI, OpenRouter, and Gemini, allowing users to select models that best fit their requirements. It also features web research capabilities, enabling the agent to pull real-time information from the internet to enhance its understanding and execution of tasks. It offers an interactive chat mode, allowing users to guide the agent directly, ask questions, or redirect tasks as needed. Additionally, RA.Aid integrates with 'aider' via the '--use-aider' flag to leverage specialized code editing capabilities. It is designed with a human-in-the-loop interaction mode, enabling the agent to seek user input during task execution to ensure higher accuracy.Starting Price: Free -
46
DemoGPT
Melih Ünsal
DemoGPT is an open source platform that simplifies the creation of LLM (Large Language Model) agents by providing an all-in-one toolkit. It offers tools, frameworks, prompts, and models for rapid agent development. The platform automatically generates LangChain code, which can be used for creating interactive applications with Streamlit. DemoGPT translates user instructions into functional applications through a multi-step process: planning, task creation, and code generation. It supports a streamlined approach to building AI-powered agents, offering an accessible environment for developing sophisticated, production-ready solutions with GPT-3.5-turbo. Additionally, it integrates API usage and external API interaction in future updates.Starting Price: Free -
47
potpie
potpie
Potpie is an open source platform that enables developers to create AI agents tailored to their codebases, automating tasks such as debugging, testing, system design, onboarding, code review, and documentation. By transforming your codebase into a comprehensive knowledge graph, Potpie's agents gain deep contextual understanding, allowing them to perform engineering tasks with high precision. It offers over five ready-to-use agents, including those specialized in stack trace analysis and integration test generation. Developers can also build custom agents using simple prompts, facilitating seamless integration into existing workflows. Potpie provides a user-friendly chat interface and supports a VS Code extension for direct integration into development environments. With features like multi-LLM support, developers can integrate various AI models to optimize performance and flexibility.Starting Price: $ 1 per month -
48
Swarm
OpenAI
Swarm is an experimental, educational framework developed by OpenAI to explore ergonomic, lightweight multi-agent orchestration. It is designed to be scalable and highly customizable, making it suitable for scenarios involving a large number of independent capabilities and instructions that are challenging to encode into a single prompt. Swarm operates entirely on the client side and, like the Chat Completions API it utilizes, does not store state between calls. This stateless nature allows for the construction of scalable, real-world solutions without a steep learning curve. Swarm agents are distinct from assistants in the assistants API; they are named similarly for convenience but are otherwise completely unrelated. It includes examples demonstrating fundamentals such as setup, function calling, handoffs, and context variables, as well as more complex scenarios like a multi-agent setup for handling different customer service requests in an airline context.Starting Price: Free -
49
FastAgency
FastAgency
FastAgency is an open source framework designed to accelerate the deployment of multi-agent AI workflows from prototype to production. It provides a unified programming interface compatible with various agentic AI frameworks, enabling developers to deploy agentic workflows in both development and production settings. With features like multi-runtime support, seamless external API integration, and a command-line interface for orchestration, FastAgency simplifies the creation of scalable, production-ready architectures for serving AI workflows. Currently, it supports the AutoGen framework, with plans to extend support to CrewAI, Swarm, and LangGraph in the future. Developers can easily switch between frameworks, choosing the best one for their project's specific needs. FastAgency also features a common programming interface that enables the development of core workflows once and reuse them across various user interfaces without rewriting code.Starting Price: Free -
50
Surf.new
Steel.dev
Surf.new is a free, open-source playground for testing and using AI agents that can browse the web. These agents surf the web and interact with webpages similarly to how a human would, making tasks like automation and web research easy and intuitive. Whether you're a developer evaluating web agents for production use or someone looking to automate repetitive tasks like checking flights, scraping product information, or booking reservations, Surf.new provides an accessible environment to quickly experiment and see how web agents perform. Key Features: Swap between AI Agent Frameworks with a button: Supports Browser-use, an experimental Claude Computer-use-based agent, and integrates smoothly with LangChain—allowing easy experimentation with different approaches. Diverse AI Model Compatibility: Compatible with popular models including Claude 3.7, DeepSeek R1, OpenAI models, Gemini 2.0 Flash, and others—giving you the flexibility to choose what works best.
