Loop Engineering Python Packages

tvastar

Loop quality layer for production AI agents. Detects silent failures, runs agents on a schedule with verify + handoff, and generates cryptographic audit receipts. Works with Claude, OpenAI, LiteLLM, LangGraph, and AgentCore.

agentbundle

The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release) over a catalogue of curated packs: skills, subagents, and hooks, each installed in one line. It's npm for your coding agent. Any agent, any stack — Claude Code, Codex, Cursor, Copilot, Gemini, Kiro.

memu-py

Personal memory for agents - fast memory retrieval, self-evolving skills, and lower cost.

loopgym

OpenAI Gym for LSS-defined agent loops

credbroker

The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release) over a catalogue of curated packs: skills, subagents, and hooks, each installed in one line. It's npm for your coding agent. Any agent, any stack — Claude Code, Codex, Cursor, Copilot, Gemini, Kiro.

le-loopctl

Unified CLI for Loop Engineering — validate, score, trace, pipeline, agents, bench

le-loopforge

Scaffold valid LSS loop specifications from common patterns

loopbench

MLPerf-style benchmark suite for Loop Engineering

crawloop

Self-healing web crawler — compile your LLM scraper into free, deterministic code that auto-heals when a site's layout changes.

le-loop-stack

Everything for loop engineering — forge, score, run, benchmark, agent bridges

hadara

Python bridge package for HADARA. The current runtime requires Node.js.

ouroboros-loop

Any task → the loop it needs. A band of agents on Band that engineers a verification loop per task, then runs it on your real code until your real tests pass.