autonomous-agents

A generalist autonomous research agent — runs experiments, researches, and iteratively optimizes, autonomously.

Autonomous self-evolving agents. Vision-grounded layered memory and self-written skills for LLM agents that operate your computer.

🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).

Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.

SHACKLE — a governance protocol and policy-decision daemon for autonomous AI agents. Enforces guardrails, budget/loop limits, and policy constraints in real time, with an audited decision engine, SP-1.0 protocol spec, Rust/TypeScript clients, and SOC2-aligned compliance tooling.

Open-source autonomous AI dev team: Sensei orchestrates specialist agents from idea to shipped product. The engine behind KageOps.