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multi-agent-systems GitHub repositories

Explore 34 tracked GitHub repositories tagged multi-agent-systems. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 2,639 stars since the previous daily snapshot.

Tracked repositories
34
Total stars
276,019
Stars gained · 7 days
+7,506
Stars gained · 30 days
+18,152

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Star activity for multi-agent-systems repositories on this page
RepositoryTotal starsToday7 days30 days
ruvnet/ruflo79.8K+250+1,956+6,386
HKUDS/DeepTutor45.8K+2,023+3,946+5,477
NirDiamant/GenAI_Agents24.7K+10+64+305
google/adk-python22.0K+9+96+361
NirDiamant/agents-towards-production21.8K+4+49+280

Explore repositories

Showing 1–34 of 34 tracked repositories.

ruvnet/ruflo

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

JetBrains/koog

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

777genius/agent-teams-ai

You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/OpenCode/Cursor/Grok/GitHub/Kiro/Z.AI/Xiaomi/MiniMax/Kimi(300+ models, 200+ LLM providers, free models no auth) Build your AI company with multiple teams

23blocks-OS/ai-maestro

AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude Code, Codex, Grok Build or any AI Agent from one dashboard. Move Agents between computers and locations

dagoSte/squadra

Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.

facebookresearch/meta-agents-research-environments

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.