Full Agent Swarm API and MCP server with local SQLite storage for multi-agent orchestration.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
An engine to make your company AI Native
Built by desplega.sh β by builders, for builders.
[!TIP] This repo evolves every single day. Watch now β
βΈ daily evolution Β· slack β pr Β· Making of
agent-swarm.dev is an open-source operating system for AI work: a lead agent breaks goals into tasks, routes them to specialized workers such as Claude Code or Codex, runs each worker in an isolated container, and preserves shared memory, tools, schedules, and review gates so delegated work compounds across sessions.
AI-Native Β· Compounds Β· Presence Β· Harness & LLM-Agnostic Β· Your Infra Β· Your Memory Β·
agent-swarm.dev runs a team of AI agents that coordinate autonomously. A lead agent receives tasks (from Slack, GitHub, GitLab, Linear, Jira, email, or the API), breaks them down, and delegates to worker agents running in isolated environments (Docker). Workers execute tasks, ship solutions, and write their learnings back to a shared memory so the whole swarm gets smarter every session.
You can run agents for Marketing, Product, UX, Engineering, Support, Operations, HR, Finance, or any role you can think of. A centralized Lead coordinates them, and they share the learnings horizontally. That's the true difference between AI First and AI Native.
agent-swarm.dev is the shared cloud brain and muscle that makes your whole company better every day.
Sometimes humans are the blocker. We can help you. Contact us contact@desplega.sh.
Learn more in the architecture overview.
Use cases that are used daily by ourselves and others. Each playbook contains: the agents, the tools & skills, and workflows & schedules behind it. Browse all playbooks β
The patterns that compound. Five recipes show up in nearly every playbook β they're how the swarm stays reliable as it scales: Litmus Tests (LLM-as-judge quality gates) Β· Drain Loops (one ticket β a chain of reviewable PRs) Β· HITL Gates (pause for human approval on irreversible steps) Β· Per-Customer Working Directories (context that compounds per account) Β· No-op Workflows (skip silently when nothing changed). See all patterns β
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