by Anil-matcha
Open-source, self-hosted alternative to Grok Bot, Claude Duet, OpenAI Dots, Meta Muse, Instinct, Manus Cue: AI coworkers (named agents) with instructions, memory, routines, their own isolated computer, and your approval before they act.
# Add to your Claude Code skills
git clone https://github.com/Anil-matcha/suparagentGuides for using ai agents skills like suparagent.
See how suparagent compares with popular alternatives.
suparagent is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Anil-matcha. Open-source, self-hosted alternative to Grok Bot, Claude Duet, OpenAI Dots, Meta Muse, Instinct, Manus Cue: AI coworkers (named agents) with instructions, memory, routines, their own isolated computer, and your approval before they act. It has 6,969 GitHub stars.
suparagent's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/Anil-matcha/suparagent" and add it to your Claude Code skills directory (see the Installation section above).
suparagent is primarily written in Python. It is open-source under Anil-matcha on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh suparagent against similar tools.
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A workspace for AI coworkers.
Create named agents, give each a job and workspace, and bring them together to complete real tasks. Suparagent keeps conversations, memory, routines, and approvals in one place. Use the desktop app or host the server yourself; the hosted service is a separate product.
Bring your own engine and provider account. Suparagent does not include a model or model subscription.
Desktop downloads · Self-hosting · Hosted app · Watch the demo · Discord
Status: Suparagent is in active development. Desktop releases, self-hosting, agent computers, and newer team features are still evolving. Review known limitations before relying on them for important work.
The desktop app runs from a source checkout. It needs Node.js 22 or newer, uv, and at least one engine available on the same computer. For a CLI engine, install it and sign in before opening Open Duet. You can also configure an API-based engine in Settings → Engines. Docker is only needed for the optional isolated agent computers.
git clone https://github.com/Anil-matcha/suparagent.git
cd suparagent/desktop
npm run app
On first launch, choose an engine, workspace, and approval mode. Then:
See the Releases page for current desktop installers and the changelog for changes. Installers are experimental and unsigned. The assisted update flow offers a SHA-256-verified installer for you to open; it does not install updates automatically. The release-to-release update path has not been verified end to end.
| Desktop app | Self-hosted server | Hosted web app | Development checkout | |
|---|---|---|---|---|
| Best for | A personal workspace on your computer | Keeping your agents and routines available on a server you control | Using the separately operated Suparagent service | Contributing or changing Suparagent |
| Where workspace data lives | Your computer | Your server | An account-specific hosted workspace | Your development machine or configured database |
| Start here | Quick start | Self-hosting guide | suparagent.ai | Development setup |
| Main requirements | Node.js 22+, uv, and an engine | Linux server, HTTPS, Docker or Node.js and uv, and an engine | An account and an AI provider account | Node.js, uv, and Docker if you use PostgreSQL |
| Status | Experimental | Experimental; single owner | Separate hosted product | — |
The hosted service is separate from the open-source desktop and self-hosted core. Hosted account, workspace, and billing data are handled by Suparagent; see the hosted service's Privacy Policy and Terms.
The hosted preview lets you use your own Boat key for sandbox compute. Paid plans use compute operated by Suparagent, so you do not need to supply a Boat key. In both cases, you bring your AI provider account and pay that provider for model usage.
| Plan | Monthly Suparagent price | Included running compute | Machine disk capacity |
|---|---|---|---|
| Free preview | $0 | Billed to your Boat account | Small profile |
| Starter | $15 | 100 hours per billing period | 51 GB |
| Standard | $49 | 300 hours per billing period | 51 GB |
| Pro | $99 | 720 hours per billing period | 111 GB |
Paid-plan compute hours count while the sandbox is running, including idle time. At the limit, it stops until the next billing period or a plan change; compute overages are not charged. The disk value is the selected machine's capacity, not a separate storage quota. A stopped sandbox's disk is subject to the provider's retention period, so export important files before a paid plan ends. Paid checkout is enabled for hosted accounts; see the Suparagent pricing page for current plans.
Connect an engine you already use: Claude Code or Codex CLI, Gemini CLI, Google Gemini through Antigravity, Cursor, another command-line agent using the Agent Client Protocol (ACP), OpenRouter, or an OpenAI-compatible API such as Ollama or LM Studio. Available tools vary by engine; image input and agent computers, for example, are not supported by every engine. See engine setup and capabilities.
For desktop and self-hosted use, conversations, agent notes, routines, and settings are stored in that instance's local data folder or server database. Workspace files stay in the folders you assign to agents. API keys saved through Suparagent are encrypted there; command-line sign-ins remain with the engine installed on that machine.
When an agent answers, the selected engine receives the prompt and the context needed for that turn. This can include text you attach, relevant notes, and workspace content the engine reads. If the engine is a hosted service, that information is handled under that provider's terms. You bring the provider account, CLI sign-in, or API key; model usage may cost money.
Create a lead agent and specialists, such as a researcher and an editor. Give them the same project workspace, and set the lead's engine to Claude or Codex. Ask the lead to prepare a briefing from the notes and reports in that folder.
The lead can split the request into smaller tasks and hand them to the specialists. Their work runs in separate conversations, then returns to the lead to assemble. Follow along in chat and approve actions when the settings require it. Once the process works well, make it a weekly routine and review each run in the app.
Routines run prompts on local agents on a schedule, by webhook, or on demand. They run in the backend, so the backend must stay running. The original Telegram bot and Boat sandbox task flow are optional and separate from the agent workspace. See backend scheduling details and environment settings.