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.

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

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.

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-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.

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 Agent that utilizes AI to generate, validate, and execute MATLAB simulations.

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.

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.

Hermes Agent plugin — extracts repeated tool-call patterns from live execution traces and proposes them as evidence-based micro-skills

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

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

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

Experimental autonomous game studio by PlayDrop

Verify structured agent outputs with deterministic results and signed receipts.

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

Self-improving AI voice agent that simulates sales calls, analyzes outcomes, and iteratively optimizes its script using LLM reasoning + workflow orchestration (n8n)