autoresearch-fleet
OfficialRun an autonomous research loop with eval gates.
Software Engineering#git workflow#web search#benchmarking#autonomous research#evaluation harness#model providers#iteration orchestration
Authorquickcall-dev
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It solves the problem of exploring a large optimization/search space without manual babysitting by autonomously iterating on code changes, evaluating them with a fixed harness, and keeping only improvements.
Core Features & Use Cases
- Karpathy-style autonomous loop: iteratively edits a single mutable file, runs a deterministic evaluation harness, and commits or reverts changes based on results.
- Plateau-triggered web search: detects consecutive discards/crashes and switches to a web-search-augmented prompt to break through knowledge ceilings.
- Budgeted, provider-flexible orchestration: runs with claude, codex, or pi providers using per-iteration budget caps and stop conditions.
- Git as state machine: improvement advances history while regressions reset hard, keeping a clean experimental trail.
Quick Start
Prepare a fleet root directory with fleet.json and a NEVER STOP program.md, then run: launch.sh <fleet-root> to start the autonomous overnight optimization loop.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: autoresearch-fleet Download link: https://github.com/quickcall-dev/skills/archive/main.zip#autoresearch-fleet Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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