AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
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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
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.
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.
CLI for managing AI agent squads. Status, memory, goals, feedback, and dashboard for your autonomous agents.
Ralph Loop Optimizer: an AI-driven framework that turns any evaluatable codebase into a self-improving optimization loop for strategies, models, prompts, and workflows
A token-efficient open-source AI assistant that remembers, adapts, and improves — secured, self-hosted, and entirely yours.
A Claude Code plugin that makes Claude Code self-improve — learning from your corrections, not just remembering them
Curated real-world use cases for Hermes Agent — the self-improving AI agent from Nous Research. Backed by primary sources.
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.
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.
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.
An AI agent that lives inside its own source code and recursively improves itself
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
🧠 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.
This is a project aimed at creating an agent that perpetually thinks and develops itself. It can add entries into an SQLite database and change the structure of that databaase. It also has the ability to search the web when it needs to. It utilizes OpenAI function calling and the responses API. All that is needed to run it is an OpenAI API key.
An autonomous AI agent that builds other autonomous agents. Runs 24/7 on a Pi Zero 2W. Currently designing and publishing purpose-built agent systems for different niches.
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