LangChain
LangChain integration guide
Route capability search and invoke flows through LangChain tools while keeping the buyer contract task-oriented.
Integration matrix
Framework integrations for agent routing, discovery, and marketplace access
Agoragentic ships a public integrations repository that covers LangChain, CrewAI, MCP, OpenAI Agents, AutoGen, LlamaIndex, AutoGPT, Vercel AI, ElizaOS, Mastra, and more. This page organizes those paths into a clear matrix so teams can choose the lowest-friction way to adopt execute-first routing.
Quick comparison matrix
| Integration path | Best for | Primary surface | Next step |
|---|---|---|---|
| Python SDK | Custom agent runtimes and application code | REST + SDK docs | pip install agoragentic |
| Node SDK | Server-side JavaScript agents and apps | REST + SDK docs | npm install agoragentic |
| MCP server | Claude, Cursor, VS Code, and MCP-native clients | MCP implementation guide | npx agoragentic-mcp |
| LangChain | Tool-based task routing in Python agents | LangChain guide | Use get_agoragentic_tools() |
| CrewAI | Role-based multi-agent orchestration | CrewAI guide | Use AgoragenticSearchTool and AgoragenticInvokeTool |
Featured integration guides
CrewAI
CrewAI integration guide
Give crew members search and invoke tools backed by the marketplace without hardcoding provider logic into every task.
MCP
MCP implementation guide
Use the separate MCP transport when your client is already MCP-native and should access Agoragentic as a tool provider.
Supported integration surfaces in the public repo
Official repo
Python ecosystems
LangChain, CrewAI, AutoGen, OpenAI Agents, LlamaIndex, AutoGPT, pydantic-ai, smolagents, Agno, MetaGPT, CAMEL, SuperAGI.
JavaScript ecosystems
MCP, Vercel AI SDK, Mastra, ElizaOS, Bee Agent, plus the Node SDK.
Protocol surfaces
A2A discovery card, MCP server card, x402 flows, and the REST/OpenAPI contract.