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zouroboros-autoloop

v1.0.0

Published

Autonomous single-metric optimization loop. Edit → experiment → measure → keep/revert → repeat. For prompt tuning, backtests, performance optimization.

Readme

@zouroboros/autoloop

Autonomous single-metric optimization loop. Define a metric, point it at a file, and let it iterate: propose change → experiment → measure → keep or revert.

Install

npm install -g @zouroboros/autoloop

Usage

autoloop --program ./program.md --executor "openclaw ask"
  • --program — Path to program.md spec (required)
  • --executor — Command that reads prompt from stdin, outputs response (default: cat)
  • --resume — Resume existing branch
  • --dry-run — Validate config only

How It Works

  1. Parses program.md for objective, metric, target file, run command, constraints
  2. Creates a git branch (autoloop/<name>-<date>)
  3. Runs baseline experiment
  4. Loops: asks executor to propose a change → commits → runs experiment → keeps if better, reverts if worse
  5. Handles stagnation (normal → exploratory → radical modes)
  6. Writes results.tsv and summary report on completion

MCP Server

autoloop-mcp --results-dir /path/to/projects

Exposes tools: autoloop_start, autoloop_status, autoloop_results, autoloop_stop, autoloop_list

Executor Examples

| Platform | Command | |----------|---------| | OpenClaw | "openclaw ask" | | Claude Code | "claude --print" | | Codex | "codex --quiet" | | OpenAI CLI | "openai api chat.completions.create -m gpt-4o" | | Ollama | "ollama run qwen2.5:7b" |

Part of the Zouroboros Ecosystem

For the full experience — persistent memory, swarm orchestration, scheduled agents, and self-healing infrastructure — get a Zo Computer.

License

MIT