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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Lightweight agent orchestration dev tool that lives in your repo
| Date | Stars |
|---|---|
| 2026-07-31 | 288 |
| 2026-08-06 | 288 |
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growth rate 0.00%/day
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<h1 align="center">sudocode</h1>
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</a><a target="_blank" href="https://www.npmjs.com/package/sudocode" style="background:none">
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</a><a target="_blank" href="https://docs.sudocode.ai" style="background:none">
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</a><a target="_blank" href="https://discord.gg/5t8GUW65EW" style="background:none">
<img src="https://img.shields.io/discord/1115708641052471446?logo=discord&logoColor=5865F2&label=Discord&color=5865F2" style="height: 22px;" alt="Discord" />
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<code>npm install -g sudocode</code>
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<b>Automate the logistics of managing context and agents. Direct the work instead of babysitting agents.</b></p>
sudocode is a lightweight agent orchestration system that lives in your repo. Adding sudocode into your repo adds instant organizational capabilities to your coding agents. They'll gain the ability to track context over long-horizon tasks and work collaboratively on complex tasks.
### Key capabilities
- Automate context handoff for complex tasks with sudocode's git-native agent memory system
- Bring order to chaos by organizing your requirements, background context, and implementation plans into structured, executable issue graphs
- Visualize outputs and execution feedback in real-time
- Run as many Claude Code/Codex/Cursor (+more) agents in parallel as you can handle
### How it works
sudocode tracks human-specified requirements and objectives (what to do) as specs, and agent runtime context and plans (how to implement) as issues. These are trackable in git as a form of version-controlled memory for your agents. Specs/issues are both human and agent-editable. This allows agents to manage their own context and leave contextual breadcrumbs as they run for all agents to reference.
Specs and issues form the backbone for advanced agent coordination and automation. Use specs to define high-level requirements and let agents carry out the implementation and manage their own issues.
### How to use it
The sudocode package includes a CLI, local server/UI, and an MCP server.
Use the CLI for managing specs and issues in sudocode's agent memory system. It contains a complete interface for viewing, editing, and managing relationships between entities.
Use the local server to automatically sync memory and enable agent execution and visualization. The issue kanban view helps you track issue status and progress. You can spawn new agents, update agent implementation plans, and provide feedback or guidance to running agents in a single, focused view.
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<img src="media/screenshots/issue-kanban.png" alt="Issue kanban view">
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The spec editor view boosts spec-driven development to new heights. Edit and review specs with a full-featured block or markdown editor. Agents leave feedback on specs as they execute, so you can track their work and stay in the know for with the code they produce.
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<img src="media/screenshots/spec-viewer.png" alt="Spec editor view">
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Once you have a dependency graph of issues, you can also automate the implementation of each issue in the graph as a workflow. This runs each issue in topological order and accumulates changes in a temp branch/worktree. As it's executing, each issue will have Excerpt of 14,563 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9188107d1a03a09b, topic:agents, topic:multi-agent, desc:agent orchestration
matched fp:9188107d1a03a09b, topic:mcp, topic:mcp-server