AutoSwarm — Development skill for Claude Code
AutoSwarm: All Your Agents, Working as One (Codex · Claude Code · DeepSeek Harness · Muse · Grok · WorkBuddy· nanobot · and more).
How to install AutoSwarm
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open HKUDS/OpenOPC and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What AutoSwarm does
AutoSwarm: All Your Agents, Working as One (Codex · Claude Code · DeepSeek Harness · Muse · Grok · WorkBuddy· nanobot · and more).
Alternatives in Development
- IPolloWork — Enterprise-grade, local-first Agent Workbench for people and agent teams 4.9k ★
- Petdex — A public gallery of animated pets for Codex, Claude Code, DeepSeek Harness, Hermes, OpenCode, Gemini CLI, and 4k ★
- Scope Recall Hermes — Local long-term memory for Hermes, Codex, Claude Code, WorkBuddy and dsh agents: one SQLite store, source-back 438 ★
README
AutoSwarm: All Your Agents, Working as One
[简体中文](README.zh-CN.md)
**Unify your agents. Unify your context. Work as One**
[](./COMMUNICATION.md) [](./COMMUNICATION.md)
Why AutoSwarm?
**No single agent can do everything. You don’t need another agent—you need all your agents working as one.**
Different agents come with different:
- 🛠️ Capabilities — coding, research, browsing, office work, writing, computer use, and social networking;
- 🧠 Context and Memory — each agent maintains its own context, with little or no sharing across agents;
- ⚙️ Tools and Workflows — each agent follows its own interaction patterns and execution process;
- 🌐 Data and Application Ecosystems — agents are connected to different platforms, services, files, and data.
Today, you are forced to switch interfaces, repeat information, coordinate subtasks, and manually combine results.
**AutoSwarm turns fragmented agents into one coordinated team.**
Give AutoSwarm a task once. It unifies all your agents into one coordinated team:
- Selects the right agents based on their capabilities;
- Shares context and memory across agents;
- Connects complementary tools and workflows;
- Bridges data and application ecosystems;
- Runs tasks in parallel for faster execution;
- Coordinates agent collaboration and keeps everyone aligned;
- Verifies and synthesizes results into one coherent answer.