self-evolution

The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai

PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.

An AI co-worker with its own computer. Self-evolving, persistent memory, MCP server, secure credential collection, email identity. Built on the Claude Agent SDK.

Exo is an agent + harness architecture that is fully recursive, able to safely edit all aspects of itself at runtime to get better at your tasks.

Personal-Model First Self Evolving AI Agent 🐘

A Survey of Self-Evolving Agents | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on Self-Evolving Agents.

Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.

No-No Debug — Self-evolution system for AI coding assistants. 10 minutes writing code, 2 hours debugging? This skill makes your AI remember all its bugs.

Learning Hierarchical and Geometry-Aware Graph Representations for Text-to-CAD

Official implementation of Controlled Self-Evolution for Algorithmic Code Optimization

Self improving agents through iterations

The first AI plugin that speaks first. Code-enforced learning + active forgetting + PAC (Proactive Accountability Challenge). Works with Claude Code, Gemini CLI, Hermes, OpenClaw.

A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.

Use spare Codex 5.3 Spark capacity to turn sessions into memory, recall, and reusable skills.

⚡ LLM-Native Self-Evolving Quantitative Trading Terminal & Execution Engine (Bloomberg-Style Dark Terminal + 6-Asset AI Brain)

An experimental framework for autonomous, self-evolving AI agents living on a server with cross-session state and persistent memory.

Agent skills for long-running execution, high-recall code review, and measurable self-improvement loops.

🔐 Replayable RAG — a local-first, auditable knowledge-reasoning platform. Graph-RAG + append-only audit log + deterministic contradiction arbitration + human-gated self-evolution. Replay any past knowledge state byte-for-byte. 100% local (Ollama). MIT.

Self-evolving AI assistant platform with 42+ skills, 5-level model fallback, lossless context, deep Feishu/Lark integration. One-click deploy. 自我进化的 AI 助手平台，一键部署。

Self-evolve your LLM's capabilities with just a task and a success criterion.