Agensh: self-organized multi-agent harness
Agensh is a self-organized multi-agent harness. Agents claim sub-tasks and merge progress without a central orchestrator. MIT.
Key features
- Agents discover and claim sub-tasks, share findings, verify results, and merge progress
- Runs without a central orchestrator, using a shared workspace, messages, and shared context
- Published experiments scale the harness to 1,024 agents
- Gitea is the shared workspace and Mattermost is the message interface
- Shared context is adapted from DeLM, on top of the Copilot harness loop
- Docker Compose runs a single-node team, and a second launcher runs one agent
- Both setups use native Copilot ACP sessions
- MIT License. The repository was open-sourced on 2026-10-24
- Category
- Agents
- Who it's for
- Engineers reproducing a self-organized multi-agent harness on one machine.
- Tags
- agentharnessagent-frameworkcontainersauthjavascriptversion-control
- Website
- github.com
- Listed
- 2026-10-25
Frequently asked questions
Is Agensh free?
Yes. Agensh is open source and free to use.
What is Agensh used for?
Self-organized multi-agent harness. Agents claim sub-tasks and merge progress without a central orchestrator. MIT. Typical uses: agents discover and claim sub-tasks, share findings, verify results, and merge progress; runs without a central orchestrator, using a shared workspace, messages, and shared context; published experiments scale the harness to 1,024 agents.
What are the best Agensh alternatives?
Alternatives in the same category include Omnara, Harness², LearnHarness, OpenShell, Agno.
Related in Agents
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- Alter Privileged access for AI agents. Vaulted credentials, per-call policy, and an audit log. Free tier is 10,000 API calls a month.
- LearnHarness Agent harness that plans and teaches from your current understanding, then keeps a knowledge graph. AGPL-3.0.
- Omnara Open-source agent API for any model and machine. Self-host free under Apache 2.0, or use the cloud with a $0 platform fee.
- OpenShell Safe, private runtime for fleets of autonomous AI agents. Sandboxes enforce file, syscall, and network policy. Apache 2.0.
- Agentic Batch Changes Describe a change in plain language. The agent scopes it across your indexed codebase and tracks it through to merge.