Topics / #self-improving

Self-improving projects on GitHub

Agents that learn from feedback and refine their own behavior.

As of , the most-starred Self-improving projects on GitHub are hermes-agent (254.5K stars), claude-engineer (11.2K stars) and hive (11.1K stars). GitHub.Locker tracks 9 Self-improving repositories with 285.1K stars combined. The fastest-growing on October 16 was hermes-agent, with +304 stars in a day.

9Projects
285.1KStars in total
+360Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

9 projects · by stars

  1. #1 · NousResearch/hermes-agent

    hermes-agent

    Hermes Agent is a self-improving AI agent from Nous Research that creates and refines its own skills from experience, persists memory about you across sessions, and can be driven from a terminal or from chat apps like Telegram and Discord.

    254.5K
  2. #2 · Doriandarko/claude-engineer

    claude-engineer

    Claude Engineer is a self-improving AI assistant framework built on Claude 3.5 Sonnet that can generate and manage its own tools during a conversation, expanding its own capabilities over time. It ships with both a CLI and a web interface for software development tasks.

    11.2K
  3. #3 · aden-hive/hive

    hive

    OpenHive is an open-source multi-agent harness for production AI — a runtime that adds state management, failure recovery, observability, cost control, and human oversight so colonies of agents reliably run real business processes instead of demos.

    11.1K
  1. 4

    Raven

    5.5KEverMind-AI/Raven · Python

    Raven is an open-source, self-improving AI agent harness that runs long-running agent work from the terminal, with built-in long-term memory, skills, tracing, and evaluation. Its stated long-term direction ('Harness of Harnesses') is a multi-agent ecosystem that composes different harnesses together, but that part is not yet implemented in the current release.

  2. 5

    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.

  3. 6

    awesome-rsi

    749lobehub/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.

  4. 7

    imp

    254deepfates/imp · Elixir

    Imp is a full port of DSPy to the BEAM: an Elixir framework for building and automatically improving language-model programs. You declare a step's inputs and outputs as a typed signature, and an optimizer tunes its prompts or examples against labeled data.

  5. 8

    awesome-rsi

    164theseus-labs-rsi/awesome-rsi

    A curated, taxonomy-first catalog of research on Recursive Self-Improvement (RSI) — AI systems that turn experience and feedback into persistent changes to themselves. It accompanies the survey 'The Last AI Built by Humans' (arXiv:2609.11873).

  6. 9

    egma

    145egma-ai/egma · TypeScript

    Egma is an open-source platform for testing voice agents before you ship them and monitoring them in production — simulated regression suites plus live analytics of real conversations.

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