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litmus

Parallel autonomous ML research agents with a Director, git worktrees for per-agent experiment branches, a Skills library for validated technique reuse, a Synthesizer that distills collective knowledge overnight, and circadian rhythm (leisure 03:00–06:00 for paper reading and creative thinking). Uses OpenClaw sessions_spawn, cron, and steer natively. Use when: (1) start or run ML research agents overnight, (2) check agent status or experiment results, (3) view leaderboard or morning digest, (4)

作者: admin | 来源: ClawHub
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litmus

# Litmus — Parallel Autonomous ML Research Agents Litmus spawns multiple OpenClaw subagents that experiment on your GPU overnight. Each runs on its own **git branch** in a shared lab repository — every experiment is a commit, agents can read each other's code, cherry-pick breakthroughs, and build on the global best at any time. Validated techniques accumulate in a **Skills library** (`~/.litmus/shared/skills/`). A **Synthesizer** runs at 04:00 to distill collective knowledge into skills and write a research agenda for the next day. A **Director** runs every 2 hours to steer workers, trigger **Compass Resets** on stagnation, and orchestrate cross-agent knowledge transfer. **What makes it more than autoresearch**: - Git worktrees: agents share one repo, each on their own branch — full experiment history, cherry-pick, and cross-agent code inspection via `git -C ~/.litmus/repo log --all` - Skills library: validated techniques persist and compound — agents don't re-discover wins - Synthesizer: distills all overnight notes into reusable skills and a research agenda - Compass Reset: Director detects stagnation and forces structured pivots using the skills gap - Two-phase experiment budget: quick 90-second check before committing to a full run - Structured attempt records: JSON per experiment in `shared/attempts/` for rich analytics - Leisure mode (03:00–06:00): workers read papers, write moonshot hypotheses, identify gaps - Morning digest: research narrative delivered to your chat at 08:00 Everything is a native OpenClaw subagent. No external processes, no PID files. --- ## First-Time Setup **Recommended** — ask your OpenClaw agent (runs a guided onboarding conversation): > "Install https://clawhub.ai/kuberwastaken/litmus and set it up for my machine" Full onboarding instructions: `{baseDir}/references/onboarding.md` — read that file first. **Or manually:** ```bash git clone https://github.com/kuberwastaken/litmus ~/.litmus bash ~/.litmus/scripts/setup.sh ``` Clones Karpathy's training harness, builds the shared lab git repo at `~/.litmus/repo/`, installs Python deps via `uv`, downloads ~1 GB of training data. Wait for it to finish. --- ## Starting Research ### 1 — Prepare workspaces (creates git worktrees) ```bash bash {baseDir}/scripts/prepare-agents.sh --agents 4 --templates architecture,optimizer,general,general ``` Creates git worktrees under `~/.litmus/agents/`, each on its own branch in `~/.litmus/repo/`. The shared lab git repo means every agent's experiments are immediately visible to all others: ```bash git -C ~/.litmus/repo log --all --oneline --graph ``` ### 2 — Spawn research subagents ``` sessions_spawn task: "Read program.md in your current directory and run the research loop forever." runtime: "subagent" mode: "session" agentId: "litmus-worker-arch-1" cwd: "~/.litmus/agents/arch-1" ``` Repeat for each agent, then: ``` sessions_yield message: "Research agents running. I'll notify you on new discoveries." ``` **Templates**: `architecture` · `optimizer` · `regularization` · `general` Full template details: `{baseDir}/references/templates/` ### 3 — Start the Director Layer ```bash bash {baseDir}/scripts/setup-cron.sh --timezone "Your/Timezone" ``` Registers 6 cron jobs: | Cron | Default schedule | Role | |---|---|---| | `litmus-director` | Every 2h during research hours | Reviews results, steers workers, Compass Reset on stagnation | | `litmus-leisure` | 03:00 daily | Switches workers to paper-reading / creative thinking mode | | `litmus-synthesizer` | 04:00 daily | Distills notes into skills library, writes research agenda | | `litmus-dawn` | 06:00 daily | Wakes workers, queues synthesizer's priority experiments | | `litmus-watchdog` | Every 30 min | Liveness check, escape mode on zero improvements | | `litmus-digest` | 08:00 daily | Morning research narrative delivered to your chat | All times are configurable during onboarding — the setup agent pitches defaults and asks what you'd like to change. Common presets: night owl (01:00/02:00/04:00/07:00), early bird (23:00/00:30/02:00/05:30), intensive (1h director). Pass custom times to `scripts/setup-cron.sh` with `--leisure-start`, `--synthesizer-time`, `--dawn-time`, `--digest-time`, `--director-hours`, `--watchdog-minutes`. --- ## Managing Agents **Status** (experiment counts, best val_bpb, git tree): ```bash bash {baseDir}/scripts/status.sh ``` **Leaderboard** (cross-agent, from shared/attempts/ JSON): ```bash bash {baseDir}/scripts/results.sh --top 10 bash {baseDir}/scripts/results.sh --agent arch-1 # single agent ``` **Full lab git history** (all agents' experiments as a tree): ```bash git -C ~/.litmus/repo log --all --oneline --graph ``` **Inspect any experiment**: ```bash git -C ~/.litmus/repo show <commit-hash> # see what changed cat ~/.litmus/shared/attempts/<hash>.json # see the metrics ``` **Steer** (redirect mid-run, no restart): ``` subagents action: "steer" target: "litmus-worker-arch-1" message: "Stop refining depth. Checkout the best commit from opt-2 and combine their LR with DEPTH=10." ``` **Stop**: ``` subagents action: "kill" target: "all" ``` --- ## What Agents Write Overnight | Path | Contents | |---|---| | `~/.litmus/shared/attempts/<hash>.json` | Structured record for every experiment (agent, val_bpb, status, title) | | `~/.litmus/shared/skills/<name>.md` | Validated reusable techniques with YAML frontmatter | | `~/.litmus/shared/notes/discoveries/` | Per-improvement discovery notes | | `~/.litmus/shared/notes/anomalies/` | Unexpected result notes | | `~/.litmus/shared/notes/moonshots/` | Speculative hypotheses from leisure | | `~/.litmus/shared/notes/synthesis/` | Synthesizer's research agenda and combination matrix | | `~/.litmus/shared/discoveries.md` | Cross-agent knowledge base (flat, for quick reading) | | `~/.litmus/shared/midnight-reflections.md` | Leisure agent's nightly narrative | | `~/.litmus/repo/` (git) | All experiment commits across all agents on their branches | --- ## Reference Files - `{baseDir}/references/onboarding.md` — first-time setup conversation - `{baseDir}/references/program.md` — worker agent loop (git-aware, skills-reading, two-phase budget) - `{baseDir}/references/director.md` — Director cron (Compass Reset, cross-pollination) - `{baseDir}/references/leisure.md` — Leisure mode (paper reading, structured notes, skill extraction) - `{baseDir}/references/synthesizer.md` — Synthesizer cron (knowledge distillation, skills library) - `{baseDir}/references/dawn.md` — Dawn cron (wake workers, queue experiments) - `{baseDir}/references/watchdog.md` — Watchdog cron (liveness, escape mode) - `{baseDir}/references/digest.md` — Morning digest (research narrative) - `{baseDir}/references/templates/` — Research focus templates - `{baseDir}/references/clawrxiv.md` — ClawRxiv integration (optional auto-publishing)

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 litmus-1775957644 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 litmus-1775957644 技能

通过命令行安装

skillhub install litmus-1775957644

下载 Zip 包

⬇ 下载 litmus v1.1.1

文件大小: 58.16 KB | 发布时间: 2026-4-13 10:52

v1.1.1 最新 2026-4-13 10:52
add stagnation, confidence tracking, compass reset, clawxriv and updated docs

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