Top AI Repos — open-source AI, indexed and scored
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.
The spatial IDE for recursive multi-agent orchestration. It's like an Obsidian graph-view that you work directly inside of.
| Date | Stars |
|---|---|
| 2026-07-31 | 900 |
| 2026-08-06 | 909 |
Today
+9 stars today
This week
— stars this week
This month
— stars this month
Momentum
36.0
growth rate 0.00%/day
## Voicetree: a graph-based mindmap for building HITL coding-agent systems
Voicetree has two primitives: nodes and edges. A node is either a markdown file, a set of nodes (folder), or a terminal based agent (Claude code, Codex, OpenCode, Gemini etc. ).
There's a small API (& `vt` CLI) for interacting with them. From this, agent swarms, recursive task decomposition, shared human-agent memory, and self-improving workflows all fall out as consequences.
The system is expressive enough to restructure itself at runtime, and because agents and humans share the same API, that self-modification stays stable and observable.
Think of it as a game engine for agentic systems. Unity gives you GameObjects, a lifecycle, and an API you write C# against.
Voicetree gives you nodes, edges, lifecycles, and hooks - but your agents can also write against it, meaning the systems you build can improve themselves.
You are now building an agentic factory, so you can move up to higher levels of abstraction, building the system that builds itself. Build the self-building factory.
(claim, p=0.4 - Markdown hypergraphs have become the de-facto programming language for agent cognition system swarms (augmented brains) in 2027)

[](https://github.com/voicetreelab/voicetree/actions/workflows/release.yml)
[](https://github.com/voicetreelab/voicetree/releases/latest/download/voicetree-arm64.dmg)
[](https://github.com/voicetreelab/voicetree/releases/latest/download/voicetree.exe)
[](https://github.com/voicetreelab/voicetree/releases/latest/download/voicetree.AppImage)
[](https://discord.gg/r2ZBtJ9zvk)
### Why?
| Challenge | Voicetree Solution |
|-------------------------------------------|---------------------------------------------------------------------------------------|
| Manual agent coordination | Agents can breakdown tasks into subgraphs and recursively spawn children terminals |
| 4-10 agent terminals is overwhelming | Spatially organise agents, tasks and progress on the graph |
| Agents don't know what you know | You share the same memory graph with agents |
| Agents suffer context-rot and lack memory | Defaults to short, focussed sessions with automatic handover |
----
Early-beta: powerful but rough. We (the startup/lab building it) use Voicetree daily as our AI-forecasting and research tool — development is spiky as a result, and external contributors are very welcome.
----
## API summary
A lightweight API (agent-first, local-only) for a set of operations on these primitives and their lifecycles (for all the interactions you would want for human-in-the-loop agent orchestration: defining workflows, context switching between agent+human contexts, seeing progress as graph etc.)
- CRUD of agents with an in-memory markdown hypergraph **based** database.
- This includes agent context state (agents can send messages to other agents)
- lifecycle hooks, letting you program & trigger automations
- Graph search, visualisation & navigation. ASCII for the agents, pixels for the human. (Yes this has a UI)
- agent orchestration tools, such as
- run(Agent,node) // default behaviour is collect nearby nodes as context and send_message(agent, local_graph(node)) it into the spawned agent
**Obsidian meets Claude Code.** Built from first principles for the most efficient human-AI interExcerpt of 10,399 characters
Read on GitHub4.0k
807
@actions
26
Claude · @anthropics
3
2
2
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:7b749aed46a53656, topic:agents, desc:multi-agent, desc:multi agent