Stars and mentions
Last 30 days, Oct 5 – Nov 3
Package downloads
Cumulative recorded downloads · since 2026-04-08
Across 1 known packages in repositories camel-ai owns. Cumulative totals include recorded downloads before the selected range. Missing observations leave gaps; totals may be incomplete. PyPI excludes known mirrors.
Top repositories
camel-ai’s repositories ranked by new stars, as on trending.
Contributes to
Repositories outside camel-ai’s account where camel-ai opened or reviewed pull requests in the past 365 days.
Who noticed camel-ai
Everyone who starred or forked camel-ai’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
Achievements
Awards earned by the repositories camel-ai owns. Select an award to embed its badge.
- Gold
- 01st place finishes
- Silver
- 42nd place finishes
- Bronze
- 73rd place finishes
- Awarded repositories
- 1Owned by camel-ai now
Repositories
Ordered by gold, then silver, then bronze.
- owlBest: 2nd by stars, 1,787 stars047
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
CAMEL is an open source Python library that lets you build teams of AI agents that talk to each other and share tools. See the project at camel-ai/camel t.co
@elonmusk @X 3/ This isn’t sci-fi. Open-source projects like OASIS already simulate Twitter/Reddit-scale interaction with up to a million LLM agents, custom personas, feeds, likes, replies, follows, and recommenders: camel-ai/oasis
CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents (17.8k stars) What it does All text below is quoted directly from the project README. >🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments. CAMEL Framework Design Principles: - 🧬 Evolvability: The framework enables multi-agent systems to continuously evolve by generating data and interacting with environments. This evolution can be driven by reinforcement learning with verifiable rewards or supervised learning. - 📈 Scalability: The framework is designed to support systems with millions of agents, ensuring efficient coordination, communication, and resource management at scale. - 💾 Statefulness: Agents maintain stateful memory, enabling them to perform multi-step interactions with environments and efficiently tackle sophisticated tasks. - 📖 Code-as-Prompt: Every line of code and comment serves as a prompt for agents. Code should be written clearly and readably, ensuring both humans and agents can interpret it effectively. >Large-Scale Agent System: Simulate up to 1M agents to study emergent behaviors and scaling laws in complex, multi-agent environments. >pip install camel-ai Repository camel-ai/camel Repository stats |Metric|Value| |:-|:-| |Stars|17,848| |Forks|2,109| |Last release|v0.2.90 (2026-03-22)| |Languages|Python 96%, TypeScript 2.1%, JavaScript 1.1%| |Contributors|249| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|claude (12 commits), Copilot (6)| |AI co-authored commits|Claude: 12, Copilot: 8| Main contributor |Field|Value| |:-|:-| |GitHub|@Wendong-Fan| |Commits to this repo|1,325 (top contributor)| |Bio|AI Engineer & Tech Lead| |Company / Location|Eigent.AI| |Followers|460| |Public repos|15| |On GitHub since|2023-05-10| Discover the best GitHub repos without the endless scrolling. Get top repos organized by category (AI, DevOps, Databases & more), plus key takeaways from developers' most useful comments - all in one free, twice-weekly newsletter. 👉 Get the best repos & community insights - Free
@agm84 It's the most difficult one to simulate. One Example: camel-ai/oasis