# qybaihe/mu

> A coding agent with a judgment kernel: a small, fast judge model makes routine calls (command risk, what stays in context, when work is done) while the big model does the coding. Ships as a CLI and a desktop app.

- Magnitude: 4.7 out of 10 — Early signal
- Stars: 107 total · +53 stars today, ≈ 62 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: TypeScript · License: MIT · Created: 2026-09-22 · Last push: 2026-09-23
- GitHub: https://github.com/qybaihe/mu · Page: https://gitnova.dev/en/r/qybaihe/mu

## Useful for

- Run the CLI agent for project edits with automatic checks on risky commands
- Configure the local Laya judge instead of an LLM to make decisions without token cost
- Compare different judges in shadow mode before enabling a decision point

## Why it’s here

- 53 stars so far today, about 62 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 2 days old and already has 107 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #183.
- Recent forks include notable developers: @lvy010 (4,523 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 6
- Issues and pull requests: 2
- Watchers: 0
- Average over the last week: 39 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 4
- Latest release: v0.1.3 (2026-09-23)

## Stars per day, last 5 days (oldest → newest, today is partial)

2026-09-20 … 2026-09-24: 0, 0, 3, 52, 53

## Spotted in now

- Top new repositories this week: #183

## More in this category

1. **NandhaKishorM/laya** — 8.2 · Peaking · AI agents · Python · +1,487 stars today, ≈ 1,782 by evening
   Laya is a non-autoregressive decision engine that answers typed questions (choice, score, noul) over any state (text, email, ticket, JSON) in a single forward pass (~35 ms on GPU) with calibrated probabilities.
   Full card: https://gitnova.dev/en/r/NandhaKishorM/laya.md
2. **google/ax** — 8.1 · Breakout · AI agents · Go · +783 stars today, ≈ 929 by evening
   A declarative orchestrator for running autonomous AI agent workloads in a cluster, using a Kubernetes-like model with Task, Workspace, Gateway, and Model manifests. It sandboxes agents, pre-wires their environment, and restricts network…
   Full card: https://gitnova.dev/en/r/google/ax.md
3. **unreallabsai/unreal-agent** — 7.5 · Breakout · AI agents · Go · +82 stars today, ≈ 106 by evening
   Async-first agent harness in Go: sessions with persisted forkable history, input deduplication, an LLM-turn coordinator, and asynchronous operation execution via swappable components.
   Full card: https://gitnova.dev/en/r/unreallabsai/unreal-agent.md
4. **strands-agents/harness-sdk** — 7.4 · Breakout · AI agents · Python · +229 stars today, ≈ 271 by evening
   Open-source Python and TypeScript SDK for building and running AI agents: agent loop, tools, MCP, memory, multi-agent patterns and tracing in one package. Runs in your process with no hosted control plane and supports multiple model…
   Full card: https://gitnova.dev/en/r/strands-agents/harness-sdk.md
5. **vectorize-io/hindsight** — 7.4 · Breakout · AI agents · Python · +926 stars today, ≈ 1,094 by evening
   Hindsight is a long-term memory system for AI agents that stores facts and observations rather than just conversation history, reporting state-of-the-art results on the LongMemEval benchmark. It runs as a server (Docker, pip, Helm) or…
   Full card: https://gitnova.dev/en/r/vectorize-io/hindsight.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-24 20:27 UTC, updated every 30 minutes.