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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.
A thin orchestration dashboard over Claude Code for managing context, automation, and developer headspace. You need tentacles. 🦑
| Date | Stars |
|---|---|
| 2026-07-31 | 1383 |
| 2026-08-05 | 1391 |
| 2026-08-06 | 1391 |
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<div align="center"> <img width="1500" height="500" alt="Octogent header" src="./static/images/octogent-header.png" /> <br/> <br/> <strong>too many terminals, not enough tentacles</strong> <br /> <br />  [](https://www.typescriptlang.org/) [](https://nodejs.org/) [](https://x.com/Hesamation) [](https://discord.gg/vtJykN3t) </div> # Octogent It's really not fun to have **ten Claude Code sessions open at once**, constantly switching between them and trying to remember what each one was supposed to do. *Things get blurry fast* when one agent is doing documentation, another is touching the database, another is changing the API, and another is somewhere in the frontend. **Octogent** tries to fix that by giving each job its own <u>scoped context, notes, and task list</u>, while also making it possible for Claude Code to **spawn other Claude Code agents**, assign them work, and communicate with them. ## The Vision This repo is a personal exploration of what an AI coding environment might look like when terminal coding agents are treated as parts of a bigger orchestration layer, not the final interface by themselves. The point is not to hide **Claude Code** behind abstractions. The point is to make *multi-agent work less chaotic for the developer* on a real codebase. ## Screenshots <div align="center"> <table> <tr> <td><img src="./static/images/preview_1.jpg" alt="Screenshot 1" width="100%"/></td> <td><img src="./static/images/preview_2.jpg" alt="Screenshot 2" width="100%"/></td> </tr> <tr> <td><img src="./static/images/preview_3.jpg" alt="Screenshot 3" width="100%"/></td> <td><img src="./static/images/preview_4.jpg" alt="Screenshot 4" width="100%"/></td> </tr> <tr> <td><img src="./static/images/preview_5.jpg" alt="Screenshot 5" width="100%"/></td> <td><img src="./static/images/preview_6.jpg" alt="Screenshot 6" width="100%"/></td> </tr> </table> </div> ## What Octogent Does for You - **Creates tentacles as context layers** so agents can work with scoped markdown files instead of broad, messy chat context - **Uses `todo.md` as an execution surface** so tasks stay visible, trackable, and ready for delegation - **Runs multiple Claude Code terminals** so one developer can coordinate several coding sessions at once - **Spawns child agents from todo items** so parallel work has a concrete source of truth - **Supports inter-agent messaging** so workers and coordinators can report completion, blockers, and handoff notes - **Keeps agent-facing context in files** so the system is more durable than a single prompt thread - **Provides a local API and UI** for terminal lifecycle, persistence, websocket transport, and orchestration A **tentacle** is a folder under `.octogent/tentacles/<tentacle-id>/` that holds agent-readable markdown such as `CONTEXT.md`, `todo.md`, and any extra notes needed for that slice of the codebase. The octopus metaphor is literal: *one octopus, many tentacles, different work happening at the same time*. ## Tentacles A **tentacle** is a scoped job container. It gives one slice of work its own files, notes, and `todo.md` so the agent is not forced to reconstruct the entire codebase context from chat history. What it does: - keeps context local to one area such as documentation, database work, API changes, or frontend work - gives agents durable files they can read and update - provides a natural source for delegation through todo items For the full model, s
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Hesam Sheikh · Full-Time Open Source
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c4354c165191dc1a, topic:ai-agents, topic:agentic-workflow