ComputerAgent — AI skill for Claude Code
Run any AI agent — Claude Code, GAP, LangGraph DeepAgents — in a hermetic sandbox.
How to install ComputerAgent
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open open-gitagent/ComputerAgent and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What ComputerAgent does
Run any AI agent — Claude Code, GAP, LangGraph DeepAgents — in a hermetic sandbox. Reference implementation of the Harness Protocol.
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README
ComputerAgent
[](https://github.com/open-gitagent/ComputerAgent/actions/workflows/ci.yml) [](./LICENSE) [](#status) [](#packages) [](https://github.com/open-gitagent/ComputerAgent/discussions) [](https://github.com/open-gitagent/ComputerAgent/stargazers)
**Run any AI agent, anywhere, with any loop, and any memory backend.**
Think Docker for AI agents — a portable agent definition (any format), a swappable engine, a swappable host, a swappable memory store. One SDK call, four orthogonal axes.
npx create-computeragent my-agent
cd my-agent && npm install
ANTHROPIC_API_KEY=sk-ant-... npm start
That's it. 60 seconds to a running agent.
A reference implementation of the **Harness Protocol** — a framework-agnostic standard for executing AI agents over HTTP+SSE, with a complete agent workspace exposed through the same surface.
Why ComputerAgent
- Portable agents — agents are git repos (or inline manifests), not framework-specific Python objects. Move them between machines, between teams, between models without rewriting.
- Swappable everything — the four ports (engine / identity / substrate / memory) are independently pluggable. Run the same agent on your laptop today and in an E2B sandbox tomorrow with a one-line change.
- Boring tech — Hono on Bun/Node, Zod, vitest, MIT. No experimental frameworks. The protocol is plain HTTP+SSE;
curlcan drive
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