Langroid
by Langroid
Lightweight Python multi-agent framework from CMU and UW-Madison where agents are first-class objects with task delegation, vector stores, tool use, and LLM flexibility.
Skills
Agent Task Delegation
Define agents that delegate sub-tasks to specialised child agents and aggregate results via a principled multi-agent task graph.
Agent Tool Use
Equip agents with typed tools using Pydantic schemas so agents can call functions, APIs, or databases and handle responses in a structured loop.
Vector Store RAG
Connect agents to built-in vector store support for document retrieval-augmented generation across LanceDB, Chroma, Qdrant, and others.
Related Agents
OpenSandbox
Runs AI-agent workloads in isolated Docker or Kubernetes sandboxes, exposing sandbox lifecycle, command, filesystem, an…
CrewAI
Multi-agent orchestration framework for building teams of AI agents that collaborate, delegate, and solve complex tasks…
FastAPI-MCP
Expose any FastAPI application as an MCP server in a few lines — endpoints become tools automatically, preserving schem…
MCP Python SDK
Builds MCP servers and clients in Python with typed tool, resource, and prompt primitives plus stdio and streamable HTT…