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Prime Agent is an open-source coding and research agent for general and long-running work. It is designed around two core abstractions:

Recursive Self-Improvement (RSI) refers to processes in which AI systems improve their own capabilities and can also improve the mechanisms that generate subsequent improvements.

Reef is the first open-source infrastructure for continual self-improving agents. It connects agent inference, feedback, learning, and versioned delivery. Use it to train model weights with Slime and SGLang, or improve an agent's harness, including its prompts, rules, and skills.

An LLM agent's capability is largely set by its harness: the prompts, control flow, tools, memory and context management around a frozen model.

An extension for pi — an AI coding agent that runs in your terminal. pi-autoresearch gives pi the tools and workflow to run autonomous optimization loops: try an idea, benchmark it, keep improvements, revert regressions, repeat.

Independent directory of useful skills, plugins, memory providers, tools, surfaces, and guides for Nous Research's open-source Hermes Agent.

Coding agents hallucinate APIs and forget what they learn in a session. Context Hub gives them curated, versioned docs, plus the ability to get smarter with every task.

Recuris is a recursive self-improvement framework that improves a long-horizon agent by evolving its memory instead of its weights or its prompt. A frozen agent is paired with a Skill Memory M = (E, W, ρ, C).

27454) for Hermes Agent — self-evolving agent skills via a persistent knowledge wiki. Faithful Algorithm 1 implementation with real agent runs, isolated skill gating, and a documented live run log.