Make your agents improve themselves. Reflexio is an AI agent self-improvement harness that enables your AI agents to continuously learn from real user interactions.

An end-to-end agent project for GPU kernel implementation, analysis, profiling, and iterative optimization. It helps an agent turn PyTorch logic or an existing kernel into a high-performance GPU kernel through a structured, profile-driven workflow.

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

Persistent memory for Claude Code & Codex CLI. Auto-extracted knowledge graph, multi-representation embeddings, 3D WebGL visualization. LongMemEval R@5=97.45%. Self-hosted, Ollama-optional

Open-source, self-hosted AI agent that evolves its own code to perform better in your specific use-cases.

Official implementation of Continual Harness (arxiv.org/abs/2605.09998) on ARC-AGI-3

Browser-native agent · profiles · tools — by aratech | Zero installs, isolated, secured and self-evolving agent.

The official implementation for paper "AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation"

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

Self-improving agents, governed. Areev is the substrate for adaptive agents — agents that get better from their own history, under human authority, in steps you can inspect, undo, and re-measure.

A self-hosted AI agent that thinks, acts, and improves itself – all running privately on your own machine. Browses the web, writes and executes code, manages files, sends emails, monitors URLs, builds websites, and learns from every interaction.

Learn to build recursive self improvement agents

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

Open-source search engine that automatically evolves your AI agent's prompts, tools, and harness logic through iterative evaluation — plug in Claude Code, Codex, Hermes, or any CLI agent.

A self-improving ML agent that compounds capability across projects through knowledge crystallization, reusable skills and shared ML/MLOps infrastructure.

AI Security Research Radar — AI for security and security for AI

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

AI Research Radar — Evidence-Grounded Trend Ledger for AI Systems

Label an issue, get a reviewable PR. Fixel uses Claude or Codex and learns from human-approved review/CI lessons. GitHub Action + CLI.

Deploy the Nous Research Hermes Agent (self-improving AI agent) to any cloud — Terraform modules for Hetzner, Oracle Always Free, GCP, AWS Lightsail, and DigitalOcean. One docker compose, five clouds, MIT licensed.