Local-first LLM operating-system hub for BACH, Rinnsal, gardener, SQLite agent memory, MCP servers, skills, and multi-agent orchestration
-
Updated
Jun 18, 2026
Local-first LLM operating-system hub for BACH, Rinnsal, gardener, SQLite agent memory, MCP servers, skills, and multi-agent orchestration
CXS is a deterministic continuity standard for long-range, multi-session, and long-chat LLM reasoning. It enables GPT, Claude, Grok, Gemini, and local models to share state through a human-readable Continuity Passport with strict-mode rules, drift detection/repair, and full chain-of-custody. Validated across 250+ continuity tests.
Local-first Python toolkit for parallel Claude and LLM agent orchestration: consensus voting, stigmergy, boss-worker swarms, and benchmarks
This repository showcases a variety of AI agent implementations, ranging from chat applications and RAG (Retrieval-Augmented Generation) pipelines to specialized MCP (Model Context Protocol) servers.
an example project demonstrating how to build, define, and integrate custom skills with the Google ADK (Agent Development Kit) 2.0 framework. The repository features a step-by-step implementation of a Python-based agent (skills_app/agent.py) that programmatically invokes external skill scripts (such as a lucky color lookup) to handle user prompts.
Top-tier contribution fork for smolagents: secure coded-agent patterns, MCP interoperability, and maintainer-friendly contributor guidance.
Add a description, image, and links to the python-agents topic page so that developers can more easily learn about it.
To associate your repository with the python-agents topic, visit your repo's landing page and select "manage topics."