Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents

The GEP-Powered Self-Evolution Engine for AI Agents. Genome Evolution Protocol. | evomap.ai

SE-Agent is a self-evolution framework for LLM Code agents. It enables trajectory-level evolution to exchange information across reasoning paths via Revision, Recombination, and Refinement, expanding the search space and escaping local optima. On SWE-bench Verified, it achieves SOTA performance

CORAL is a robust, lightweight infrastructure for multi-agent self-evolution, built for autoresearch.

Spring AI Playground is a self-hosted web UI for low-code AI tool development with live MCP server registration. It includes MCP server inspection, agentic chat, and integrated LLM and RAG workflows, enabling real-time experimentation and evolution of tool-enabled AI systems without redeployment.

Open Source Implementation of Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

NeuroMinecraftGenesis (NMG): A revolutionary AI system that draws on the DiscoRL self-evolving algorithm, six-dimensional cognitive engine, and quantum-classical brain computing developed by DeepMind. It features multi-agent evolution, three-world integration, and AI toolkit capabilities.

🐊 Multi-Team Intelligent Orchestrator v5.3.1 — DNA-driven multi-agent collaboration with 9 genes, 11-step pipeline, 60+ roles, 6 self-evolution gears. Built for OpenClaw.

A curated list of AI Agent evolution, memory systems, multi-agent architectures, and self-improvement projects. | evomap.ai

SQL Copilot is an agentic AI to SQL interface powered by LangGraph, featuring knowledge base management and self-evolution capabilities.

Self-improving AI agents implementing the Darwin Gödel Machine research paper. Features multi-LLM support, sandboxed execution, population-based evolution, and comprehensive benchmarking.

The official repository of "MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution".

High-performance Rust agent OS. Multi-agent orchestration, self-evolution, memory-first design, built-in security, and hardware-to-chat extensibility.

Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails

Proactive Self-Improving Agent skill for OpenClaw - combines context protection (WAL/Buffer) with structured learning and safe evolution

The agent that evolves itself. SEED protocol + 8 owls + voice + self-evolution. pip install weevolve

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

AI agent which follows the principle of "minimal predefinition and maximal self-evolution".

Enable any AI Agent to gain Skills capability with one click, driving Agent self-evolution

Production-ready memory framework for AI agents. Dual-agent synthesis, self-evolution, composite scoring, multi-tenant isolation. REST API, Python SDK, CLI.

测试驱动开发：AI Agent自动化评测与自我进化框架 / Test-Driven Development: AI Agent Automated Evaluation and Self-Evolution Framework

A modular Rust-based self-learning episodic memory system for AI agents, featuring hybrid storage with Turso (SQL) and redb (KV), async execution tracking, reward scoring, reflection, and pattern-based skill evolution. Designed for real-world applicability, maintainability, and scalable agent workflows.

One Framwork for Agents to Learn, Adapt, and Evolve. The Experience Learning System for Self-Improving AI, making continuous evolution natural and measurable.

🧬 Self-Evolution Engine for AI Agents — Structured memory, intelligent scheduling, quality control, self-audit

ADAAD-6 = sixth-generatiation ADAAD system. It is a modular, self-improving agent director designed for autonomy, scalability, and monetization. The repo focuses on orchestration, adaptive decision loops, task decomposition, memory evolution, and profit-aligned execution. Built for rapid iteration, Android environments, and future full autonomy

Cognitive Operating System สำหรับ Claude ที่มี: Self-thinking Multi-agent reasoning Meta-cognition Self-evolution

Self-improvement system for Hermes Agent. Monitors performance, finds weak skills, fixes them with self-evolution, reports results.

Complete Workspace Template for OpenClaw - Full agent lifecycle with unified memory system (Markdown + SQLite), self-evolution, RAG. Not for SubAgent/Skill use.

A revolutionary AI agent capable of self-evolution

An autonomous AI agent harness designed for self-exploration and evolution