Everything for loop engineering — forge, score, run, benchmark, agent bridges
Project description
le-loop-stack
The only install you need for loop engineering — declare, validate, score, run, benchmark, and map any popular AI agent.
pip install "le-loop-stack>=0.4.0"
Includes:
| Package | CLI | Role |
|---|---|---|
| le-loopforge | loopforge |
Intent → LSS YAML, combine, LoopChain, loop library, export stubs |
| le-loopctl | loopctl / loop |
Validate, score, pipeline, combine, quick, mix, bench |
| loopgym | (API) | Sim/Live/Replay + Loop Trace 1.0 |
| loopbench | loopbench |
Public leaderboard (19 tasks, 4 suites) |
10-second start (token-efficient)
# Combine library loops → one compact YAML + JSON metadata
loop combine --library research-agent,autonomous-debugger \
--intent "Research then fix tests" -o pipeline.yaml --json
# Or recipe mix (flatten + compact by default)
loop mix dev-agent --intent "Fix failing tests from CI" --json
# Single agent quick path
loop quick "Fix failing tests from CI" --agent aider
Optional extras: pip install "le-loop-stack[math,agents,bench]" — proof-carrying compose when loopmath installed.
Supported agents
loopctl agent list — langgraph, crewai, react, reflexion, dspy, aider, openhands, claude_code, codex, smolagents, autogpt, openai_agents
Optional runtime extras
pip install "le-loop-stack[agents]" # LangGraph + CrewAI runtimes for export stubs
pip install "le-loop-stack[bench]" # loopbench CLI
pip install "le-loop-stack[all]"
Full pipeline
loopctl pipeline --recipe dev-agent --intent "Repair CI" --suite suite-repair --compact --json
Golden Path: contributions/GOLDEN_PATH.md
Project details
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