A lightweight, object-oriented finite state machine implementation in Python with many extensions
Multi-tool AI agent harness — 22 skills, self-evolving engine, unified memory, autonomous spec-to-PR pipeline. Works with Claude Code, Codex, Cursor, OpenCode, and Cline.
Seamlessly integrate LLMs as Python functions
Signals for Python - inspired by Angular Signals / SolidJS. Reactive Declarative State Management Library for Python - automatic dependency tracking and reactive updates for your application state.
Easily manage ChatGPT conversation variables
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.
4 captures since 2026-05-22
