BeeAI Framework

Framework for production-ready AI agents in Python and TypeScript (Linux Foundation / IBM BeeAI).

Active · Verified 2026-10-26 · fresh as of 2026-10-26 · 17 cited facts, 1 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Type: Framework repo fix
Tier: T3
Section: Agent frameworks (no first-party memory layer)
Created: 2024-08-23 repo fix
Latest release: last commit 2026-10-23 repo fix
License: Apache-2.0 repo fix
GitHub: https://github.com/i-am-bee/beeai-framework (3443★) repo fix
Pricing: searched not found fix
Funding: searched not found fix
Freshness: 2026-10-26 fix
Layer: agent-infra repo fix
Licensing: open-source repo fix
Deployment locus: local repo fix
Platform vs product: platform repo fix
SDK languages: python, typescript repo fix
Protocols: a2a, mcp-client, mcp-server, opentelemetry vendor fix
Developer activity: OpenRank 3.69 (12-mo avg 7.03) · 37 participants — 2026-09 third-party fix
Maintainer health: 19 issues in 90 days, 84% answered or closed · 34 releases in 12 months (latest 2026-09-28) · bus factor 1 — as of 2026-11-01 repo

Optimised for: searched not found

Anti-fit: searched not found

searched not found

searched not found

Build production-ready AI agents in both Python and Typescript.

Alternatives to BeeAI Framework → live options ranked by shared design, licence, hosting and MCP support

Other agent frameworks (no first-party memory layer) in the catalog, ranked by inbound references.

Model Context Protocol (MCP spec) T1
Anthropic-introduced open protocol (Nov 2024) for connecting LLMs to data sources and tools. Donated by Anthropic to the Linux Foundation's Agentic AI Foundation (announced 2025-12-09); now governed as Model Context Protocol, a Series of LF Projects, LLC. Supported across Claude, ChatGPT, VS Code, Cursor and many other clients.
LangChain (framework) T1
Dominant Python/JS framework for LLM apps — tool calling, agents, retrievers, runnables. Memory is one component (LangMem cross-listed); the framework itself is the product.
Vercel AI SDK T1
Vercel's TypeScript LLM SDK — streaming, tool calls, structured outputs, agents. Dominant framework for Next.js LLM apps.
LlamaIndex (framework) T1
Data framework for LLM apps — connectors, indices, query engines, agents, workflows. Memory is one of many subsystems (LlamaIndex Memory cross-listed).
OpenAI Agents SDK T1
OpenAI's official Python framework for agents — handoffs, guardrails, tracing built in. Successor to OpenAI Swarm (experimental); officially supported.
LangGraph (orchestration) T1
LangChain's stateful graph runtime for agents — explicit state, persistence, time-travel debugging, human-in-the-loop. Memory is one persistence target (LangGraph Persistence cross-listed).

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Arize Phoenix integrates with — Arize Phoenix docs have a BeeAI Framework integration page. (verified 2026-10-29)
Comet ML integrates with — Comet's Opik docs have a BeeAI Framework integration page. (verified 2026-10-29)
IBM ContextForge MCP Gateway integrates with — IBM ContextForge docs have a BeeAI Framework integration page. (verified 2026-10-29)
Langfuse integrates with — Langfuse's integrations directory has a BeeAI Framework integration page. (verified 2026-10-29)
OpenInference integrates with — The OpenInference repo README lists an OpenInference instrumentation package for BeeAI Framework. (verified 2026-10-29)