Topics / #self-improving-agents

Self-improving-agents projects on GitHub

AI agents that upgrade their own skills and memory over time.

As of , the most-starred Self-improving-agents projects on GitHub are prime-agent (22.1K stars), context-hub (14K stars) and pi-autoresearch (8.2K stars). GitHub.Locker tracks 9 Self-improving-agents repositories with 60.5K stars combined. The fastest-growing on October 16 was prime-agent, with +26 stars in a day.

9Projects
60.5KStars in total
+71Stars in a day
Browse in the catalog →github.com/topics/self-improving-agents ↗

Hot right now

Most stars gained in a day · Oct 16

+26

prime-agent

PrimeIntellect-ai/prime-agent · ★ 22.1K

Prime Agent is an open-source coding and research agent for general and long-running work. It is built on two abstractions: the Recursive Language Model (RLM) programming model and a Continual Harness that keeps prompts, memories and skills as durable, refinable state.

+21

awesome-rsi

lobehub/awesome-rsi · ★ 766

Awesome RSI is a curated research map of Recursive Self-Improvement (RSI): a taxonomy of papers, frameworks, benchmarks, and safety work on AI systems that improve their own capabilities and the mechanisms that generate further improvements.

+8

rrsi

google-research/rrsi · ★ 1.5K

RRSI (Regularized Recursive Self-Improvement) is a Google research framework that automatically improves an LLM agent's harness (prompts, control flow, tools, memory, context management around a frozen model) by searching over harness edits and keeping only those with measured, auditable gains.

+6

reef

Human-Agent-Society/reef · ★ 7.6K

Reef is open-source infrastructure for continually self-improving agents. It wires together agent inference, feedback collection, learning, and versioned delivery so an agent keeps getting better from how you interact with it.

The all-time top

9 projects · by stars

  1. #1 · PrimeIntellect-ai/prime-agent

    prime-agent

    Prime Agent is an open-source coding and research agent for general and long-running work. It is built on two abstractions: the Recursive Language Model (RLM) programming model and a Continual Harness that keeps prompts, memories and skills as durable, refinable state.

    22.1K
  2. #2 · andrewyng/context-hub

    context-hub

    Context Hub is an open hub of curated, versioned docs for coding agents plus a CLI called 'chub' that agents use to fetch them — built so agents stop hallucinating APIs and get smarter with every task.

    14K
  3. #3 · davebcn87/pi-autoresearch

    pi-autoresearch

    pi-autoresearch is an extension for pi, a terminal-based AI coding agent, that runs autonomous optimization loops: it tries a code change, benchmarks it, keeps the change if it's an improvement, reverts it if it isn't, and repeats indefinitely.

    8.2K
  1. 4

    reef

    7.6KHuman-Agent-Society/reef · Python

    Reef is open-source infrastructure for continually self-improving agents. It wires together agent inference, feedback collection, learning, and versioned delivery so an agent keeps getting better from how you interact with it.

  2. 5

    awesome-hermes-agent

    5.9K0xNyk/awesome-hermes-agent

    A community-curated directory of skills, plugins, memory providers, tools, surfaces, and guides for Hermes Agent, the open-source self-improving agent built by Nous Research. It is maintained independently by 0xNyk, not by Nous Research itself.

  3. 6

    rrsi

    1.5Kgoogle-research/rrsi · Python

    RRSI (Regularized Recursive Self-Improvement) is a Google research framework that automatically improves an LLM agent's harness (prompts, control flow, tools, memory, context management around a frozen model) by searching over harness edits and keeping only those with measured, auditable gains.

  4. 7

    awesome-rsi

    766lobehub/awesome-rsi

    Awesome RSI is a curated research map of Recursive Self-Improvement (RSI): a taxonomy of papers, frameworks, benchmarks, and safety work on AI systems that improve their own capabilities and the mechanisms that generate further improvements.

  5. 8

    wikiskill

    278ashutoshsinghpr7/wikiskill · Python

    WikiSkill is a faithful implementation of a Google Research paper (arXiv:2608.27454) that lets an AI agent build a persistent knowledge wiki from its own execution traces and use it to propose and validate changes to its own skill files, so lessons from failed runs survive instead of dying with the session.

  6. 9

    Recuris

    241Gen-Verse/Recuris · Python

    Recuris is a recursive self-improvement framework that boosts long-horizon LLM agents by evolving their memory instead of their weights or prompt. A frozen agent is paired with a structured Skill Memory, and a meta-agent patches it based on execution traces, only keeping changes that pass a validation gate.

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