CAMEL

Open-source multi-agent framework for role-playing agent societies, data generation and agent scaling research.

Active · Verified 2026-10-31 · fresh as of 2026-10-31 · 19 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: 2023-03-17 repo fix
Latest release: last commit 2026-10-19 repo fix
License: Apache-2.0 repo fix
GitHub: https://github.com/camel-ai/camel (17973★) repo fix
Pricing: searched not found fix
Funding: searched not found fix
Freshness: 2026-10-31 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 repo fix
Protocols: mcp-client, mcp-server vendor fix
Developer activity: OpenRank 6.61 (12-mo avg 20.63) · 66 participants — 2026-09 third-party fix
Maintainer health: 47 issues in 90 days, 40% answered or closed · 42 releases in 12 months (latest 2026-09-03) · bus factor 3 — as of 2026-10-31 repo

Optimised for: searched not found

Anti-fit: searched not found

searched not found

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🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Alternatives to CAMEL → 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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Mem0 integrates with — Mem0 docs have a Camel AI integration page (Plug Mem0 cloud memory into Camel's agents with the built‑in Mem0Storage). (verified 2026-10-29)
Milvus integrates with — Milvus's integrations overview lists a Milvus + CAMEL integration tutorial. (verified 2026-10-29)
Qdrant integrates with — Qdrant's documentation has a CAMEL integration page. (verified 2026-10-29)