OpenSwarm: Multi-Agent Claude CLI Orchestrator for Linear and GitHub

✍️ OpenClawRadar📅 Published: February 27, 2026🔗 Source
OpenSwarm: Multi-Agent Claude CLI Orchestrator for Linear and GitHub
Ad

What OpenSwarm Does

OpenSwarm is an autonomous AI agent orchestrator powered by Claude Code CLI. It creates a multi-agent system that integrates with real development workflows, specifically Linear for issue tracking and GitHub for code management. The tool is designed to handle actual development tasks rather than toy examples.

Core Architecture and Features

The system follows a structured pipeline approach:

  • Autonomous Pipeline: Cron-driven heartbeat fetches Linear issues and runs Worker/Reviewer pair loops
  • Worker/Reviewer Pairs: Multi-iteration code generation with automated review, testing, and documentation stages
  • Decision Engine: Scope validation, rate limiting, priority-based task selection, and workflow mapping
  • Cognitive Memory: LanceDB vector store with Xenova/multilingual-e5-base embeddings for long-term recall across sessions
  • Knowledge Graph: Static code analysis, dependency mapping, and impact analysis for smarter task execution
  • Discord Control: Full command interface for monitoring, task dispatch, scheduling, and pair session management
  • PR Auto-Improvement: Monitors open PRs, auto-fixes CI failures, auto-resolves merge conflicts, and retries until all checks pass
  • Long-Running Monitors: Tracks external processes (training jobs, batch tasks) and reports completion
  • Web Dashboard: Real-time status dashboard on port 3847 with PR Processor monitoring
  • i18n Support: English and Korean locale support
Ad

Technical Requirements

  • Node.js >= 22
  • Claude Code CLI installed and authenticated (claude -p)
  • Discord Bot token with message content intent
  • Linear API key and team ID
  • GitHub CLI (gh) for CI monitoring (optional)

Installation and Configuration

Basic setup:

git clone https://github.com/unohee/OpenSwarm.git
cd OpenSwarm
npm install

Configuration involves copying the example config and creating a .env file:

cp config.example.yaml config.yaml

Required .env variables:

DISCORD_TOKEN=your-discord-bot-token
DISCORD_CHANNEL_ID=your-channel-id
LINEAR_API_KEY=your-linear-api-key
LINEAR_TEAM_ID=your-linear-team-id

The config.yaml supports environment variable substitution (${VAR} or ${VAR:-default}) and is validated with Zod schemas. Key configuration sections include discord, linear, github, agents, autonomous, and prProcessor settings.

Current Status and Limitations

The creator notes this is still early software with rough edges. Current TODOs focus on safety, scaling, and better task decomposition. The system is currently powering the creator's solo dev workflow for trading infrastructure, LLM tools, and other projects.

📖 Read the full source: HN AI Agents

Ad

👀 See Also

OpenClaw Agent Relay Plugin Fixes Telegram Delivery in Multi-Agent Setups
Tools

OpenClaw Agent Relay Plugin Fixes Telegram Delivery in Multi-Agent Setups

The openclaw-agent-relay plugin addresses the persistent issue where sessions_send responses go to webchat instead of Telegram by using gateway WebSocket RPC to trigger agent turns with deliver:true, eliminating the need for workarounds like explicit message tools or announce steps.

OpenClawRadar
Benchmark shows AI browser automation tools vary 2.6x in token costs despite identical accuracy
Tools

Benchmark shows AI browser automation tools vary 2.6x in token costs despite identical accuracy

A benchmark of 4 CLI browser automation tools using Claude Sonnet 4.6 on 6 real-world tasks found all achieved 100% accuracy, but openbrowser-ai used 36,010 tokens while others used 77,123-94,130 tokens. Tool call count was the strongest predictor of token cost.

OpenClawRadar
Legal MCP Server for Claude Provides Access to 4M+ US Court Opinions
Tools

Legal MCP Server for Claude Provides Access to 4M+ US Court Opinions

A free, open-source MCP server built with Claude Code gives Claude AI access to 4M+ real US court opinions, providing 18 tools for case law search, citation tracing, Bluebook parsing, Clio practice management, and PACER federal filings without hallucinations.

OpenClawRadar
Need MCP Server Provides Semantic Tool Discovery for AI Agents
Tools

Need MCP Server Provides Semantic Tool Discovery for AI Agents

An MCP server called Need enables semantic search over 10,000+ tools from brew, npm, pip, and cargo. When an agent requests a task like 'compress these PNGs,' it finds pngquant, installs it, runs it, and reports back on success.

OpenClawRadar