Extended Ralph loop for autonomous AI-driven plan execution
Build autonomous AI agents in Python.
Autonomous AI backend for deep research AI applications.
OpenSwarm — Autonomous AI dev team orchestrator powered by Claude Code CLI. Discord control, Linear integration, cognitive memory.
A curated corpus of incidents, attack vectors, failure modes, and defensive tools for autonomous AI agents.
An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.
900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.
Persistent memory for AI coding agents. Local-first, cross-session context, global knowledge, and optional autonomous task execution.