OpenSwarm
Reduces engineering overhead by automating task distribution and state tracking across multiple AI agents, while Discord/Linear integration keeps work synchr…
OpenSwarm — Autonomous AI dev team orchestrator powered by Claude Code CLI. Discord control, Linear integration, cognitive memory.
- Orchestrate multiple AI agents to parallelize code review and testing tasks across repositories.
- Automate ticket-to-PR workflow by routing Linear issues to specialized AI agents for implementation.
- Monitor Discord commands to trigger coordinated development tasks and report results back to team.
Reduces engineering overhead by automating task distribution and state tracking across multiple AI agents, while Discord/Linear integration keeps work synchronized with existing team workflows.
Engineering teams using Claude Code CLI seeking to delegate routine development tasks across coordinated AI agents.
https://github.com/unohee/OpenSwarm
By unohee
How to Get It
claude plugins install unohee/OpenSwarm
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me orchestrate multiple AI agents to parallelize code review and testing tasks across repositories
Trust Signals Auto-scanned
Community Pulse New
- Show HN: OpenSwarm – Multi‑Agent Claude CLI Orchestrator for Linear/GitHub — Hacker News · 34 pts
- OpenSwarm – High-Performance AI Swarms with OpenSwarm — Hacker News · 2 pts
- Open Swarm, open source platform for running AI agents in parallel — Hacker News · 2 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 839 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 839 GitHub stars; contributors unknown; last commit 0d ago; license MIT.