Outcome driven agent development framework that evolves

A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.

An OpenClaw skill that upgrades self-improving agents from reactive error logging to goal-driven capability evolution with curriculum, evaluation, transfer, and promotion.

Persistent memory MCP server for Claude Code & Codex CLI — self-improving agent with 4-tier search, 20 tools

A self-improving Agent that utilizes AI to generate, validate, and execute MATLAB simulations.

Personal operations system. Claude Code skills, hooks, and markdown files replace project management software. Standup plans your day, hooks track your work, retrospectives learn your patterns.

Adversarial agent swarm orchestrator — AI agents compete, evolve, and improve across providers