Open Swarm: Open-Source System for Running Thousands of Parallel AI Agents
Open Swarm is an open-source system that enables running thousands of parallel AI agents simultaneously across the internet. Unlike sequential approaches, these agents operate in true parallel execution at massive scale.
Key Capabilities
- Parallel agent execution at massive scale — not sequential, truly simultaneous
- Full internet access per agent across email, social media, docs, web, code, and scheduling
- Human-in-the-loop controls — you approve every action
- Conversation branching — fork agent context at any point
- Per-agent cost tracking
Available Tools
Each agent has access to 150+ tools including:
- Email (Gmail)
- Social media (Twitter, Reddit, Instagram, LinkedIn)
- Google Workspace (Docs, Sheets, Slides, Drive, Calendar)
- Web search and browser automation
- Code execution
- Cron scheduling
The system is designed so all agents operate at the same time, enabling one person to coordinate work at scale. According to the source, the paradigm shift is that when you can do everything in parallel, priority becomes curation — it's not what to do, but what NOT to do.
📖 Read the full source: r/LocalLLaMA
👀 See Also
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Dirac: Open-Source Agent Tops TerminalBench with 65.2%, Cheaper and Open
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Comparison of 8 AI Coding Models on Real-World TypeScript Feature Implementation
A developer tested 8 AI coding models on implementing a /rename command in an open-source TypeScript Telegram bot project, evaluating them on cost, execution time, correctness, and technical quality. GPT-5.4 scored highest on implementation correctness while GLM 5 offered the best cost-performance ratio.
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