Topics / #multi-agent-system

Multi-agent-system projects on GitHub

Frameworks where multiple AI agents collaborate to accomplish complex tasks.

As of , the most-starred Multi-agent-system projects on GitHub are BettaFish (42.5K stars), pentagi (32.6K stars) and camel (18K stars). GitHub.Locker tracks 5 Multi-agent-system repositories with 100.9K stars combined. The fastest-growing on October 27 was Orkas, with +460 stars in a day.

5Projects
100.9KStars in total
+549Stars in a day

Hot right now

Most stars gained in a day · Oct 27

The all-time top

5 projects · by stars

  1. #1 · 666ghj/BettaFish

    BettaFish

    BettaFish (Chinese name 'Weiyu'/微舆) is a from-scratch multi-agent public opinion analysis system that monitors social media and large volumes of public comments, then produces reports to help break information bubbles and support decision-making.

    42.5K
  2. #2 · vxcontrol/pentagi

    pentagi

    PentAGI (Penetration testing Artificial General Intelligence) is a fully autonomous AI agent system that performs complex penetration testing tasks for you.

    32.6K
  3. #3 · camel-ai/camel

    camel

    CAMEL is an open-source multi-agent framework for building, simulating and studying LLM-powered agents at scale, aimed at finding the 'scaling laws of agents'.

    18K
  1. 4

    EvoScientist

    4.9KEvoScientist/EvoScientist · Python

    EvoScientist is a self-evolving AI scientist system: a team of AI agents that autonomously explore research questions, generate insights, and improve themselves over time instead of waiting on constant human instructions.

  2. 5

    Orkas

    2.9KOrkas-AI/Orkas · JavaScript

    Orkas is an open-source (MIT), local-first AI team for your desktop: a Commander turns your goal into to-dos and coordinates 16 built-in specialist agents plus Claude Code, Codex, OpenCode, OpenClaw and Hermes, with projects, scheduled automations and connectors.

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