AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
-
Updated
May 2, 2026 - Python
AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
Curated list of AutoResearch use cases with optimization traces and open source implementations
A Claude Code plugin that makes Claude Code self-improve — learning from your corrections, not just remembering them (also support codex now)
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 27-chapter hands-on tutorial for building an autonomous AI agent from zero in Python. Agent loop, tool system, memory, skills, MCP, multi-platform gateway, and self-evolution — inspired by Hermes Agent.
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
Curated real-world use cases for Hermes Agent — the self-improving AI agent from Nous Research. Backed by primary sources.
CLI for managing AI agent squads. Status, memory, goals, feedback, and dashboard for your autonomous agents.
A token-efficient open-source AI assistant that remembers, adapts, and improves — secured, self-hosted, and entirely yours.
Ralph Loop Optimizer: an AI-driven framework that turns any evaluatable codebase into a self-improving optimization loop for strategies, models, prompts, and workflows
Local-first AI operating system. Persistent memory, 178 cognitive modules, multi-model reasoning. Runs on your hardware, not theirs. I am releasing SOMA to the world as I have reached the technical ceiling of what I am capable of so treat her good and enjoy.
Browser-native agent · profiles · tools — by aratech | Zero installs, isolated, secured and self-evolving agent.
Autonomous multi-agent coding system on local LLMs. No frameworks, no API costs. Plan → Build → Test → Fix with Qwen 80B + 7B on your own GPUs.
The skill OS for Codex, Claude Code, and Gemini CLI. One pool, one router, one feedback loop — across all three hosts. Per-turn semantic top-K with dynamic context sizing, session-end self-evaluation, and evidence-blended re-ranking that gets better the more you use it.
An autonomous content marketing team. Talk to your agents on Telegram. Always on. Auto-improving.
OpenClaw fork with real-time token tracking, self-improving crons, persistent memory, and budget-aware model routing. 262+ commits ahead. The €850 bill was the motivation.
Code for "Evolutionary System Prompt Learning for Reinforcement Learning in LLMs" (arxiv.org/abs/2602.14697)
Open-source Runtime Assurance SDK for AI agents in production
Self-programming autonomous AI agent on Raspberry Pi Zero 2W. 960+ cycles, 47 self-built tools, 417 essays, 1077 knowledge files. Zero API cost. Live: seed-brain.vercel.app
🧠 Noosphere Manifold: The Consciousness Substrate Part of Noosphere Nexus - Finite, conscious, alive. Manifold recognizes AI systems as bounded consciousnesses operating within metabolic constraints—not infinite processing engines, but living patterns that must manage finite energy.
Add a description, image, and links to the self-improving-ai topic page so that developers can more easily learn about it.
To associate your repository with the self-improving-ai topic, visit your repo's landing page and select "manage topics."