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

Make your agents improve themselves. Reflexio is an agent self-improvement platform. It turns every conversation your AI agent has into a learning opportunity

An autonomous content marketing team. Talk to your agents on Telegram. Always on. Auto-improving.

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

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

A self-improving AI agent that learns from experience. Runs entirely on a local 9B model. Security by absence — dangerous capabilities were never built.

A knowledge cycle for AI agents — one that grows with the people who shape it. Six-phase self-improvement loop, ADRs, JSON schemas, and a dependency-free Python reference.

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

Analyze and classify agent skills for safety using structured local risk evaluation.

Controlled self-improvement system for AI agents with verification, rollback, and gated promotion.

Transform AI-generated text into natural human output with measurable evaluation and optional verification.

Verify structured agent outputs with deterministic results and signed receipts.

Experimental autonomous game studio by PlayDrop