BeeAI Framework lets you build production-ready multi-agent systems in Python or TypeScript. It provides modules for agents, backend, tools, memory, workflows, and serve, with ongoing releases and bug fixes. The project is Apache-2.0 licensed and actively maintained since 2024-08-23.
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
What it is
BeeAI Framework is a toolkit for building intelligent, autonomous agents and multi-agent systems in Python or TypeScript. It exposes modules for Agents, Backend, Tools, RAG, Templates, Memory, Observability, Serve, Cache, Serialization, and Workflows. The project includes Python and TypeScript libraries and templates to get started quickly.
How it works
The framework provides components to compose multi-agent workflows: Requirement Agents to enforce rules, Tools to extend capabilities, a unified Backend to connect to LLM providers, and modules like Memory and RAG to manage state and retrieval. It supports workflows to orchestrate interactions across multiple agents.
Getting started
Installation is supported for both languages:
pip install beeai-framework
npm install beeai-framework
Explore Python or TypeScript examples and templates: beeai-framework-py-starter and beeai-framework-ts-starter.
Recent releases
Latest releases include:
-
typescript_v0.1.30 (2026-07-24): Features; adapters upgrade LangChain packages to 1.x
-
python_v0.1.82 (2026-07-24): Bug Fixes; emitter and cache improvements
-
python_v0.1.81 (2026-05-28): Bug Fixes; dependencies resolution; tool message handling
-
python_v0.1.80 (2026-05-05): Bug Fixes; MCP output types; metadata constraints; deep copy of PromptTemplate config
-
typeScript v0.1.29 (2026-05-05): Bump dependencies; full changelog at releases page
Traction
Stars: 3370; Forks: 471; Open issues: 28.
Behind the repo
Not provided in the material.
Caveats
License: Apache-2.0. Age: created 2024-08-23. Last push 2026-08-04.