Topics / #recursive-self-improvement

Recursive-self-improvement projects on GitHub

As of , the most-starred Recursive-self-improvement projects on GitHub are hermes-agent-self-evolution (5.5K stars), Raven (5.5K stars) and NeoHorse (1.7K stars). GitHub.Locker tracks 9 Recursive-self-improvement repositories with 15.8K stars combined. The fastest-growing on October 16 was Deepgraph, with +148 stars in a day.

9Projects
15.8KStars in total
+206Stars 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-self-evolution

    hermes-agent-self-evolution

    It is an evolutionary self-improvement system for Hermes Agent that uses DSPy and GEPA (Genetic-Pareto Prompt Evolution) to automatically optimize the agent's skills, tool descriptions, system prompts, and code, producing measurably better versions through reflective evolutionary search.

    5.5K
  2. #2 · EverMind-AI/Raven

    Raven

    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.

    5.5K
  3. #3 · TokenRhythm/NeoHorse

    NeoHorse

    NeoHorse is TokenRhythm's family of open-weight language models built for agent workflows, with the 4B and 9B NeoHorse-1 checkpoints handling tool use, coding, and instruction following, plus a companion decision model called NeoHorse-Jev.

    1.7K
  1. 4

    Deepgraph

    1Kbillion-token-one-task/Deepgraph · Python

    DeepGraph is the autonomous research agent of JouleBeat, an open-source AI self-improvement (RSI) lab. It reads scientific literature, finds open questions, runs real experiments, and lets the results decide what is true.

  2. 5

    RSI-Anything

    772Gen-Verse/RSI-Anything · HTML

    RSI-Anything is a domain-general framework that turns world-model predictions and interaction feedback into recursive self-improvement, built on JEPA-Anything.

  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

    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.

  5. 8

    RSIGame

    144WenyiWU0111/RSIGame · Python

    RSIGame is an autonomous agentic game development framework that keeps improving a generated game after its first playable version, running an explore-diagnose-improve loop that repairs and verifies the game until progress saturates.

  6. 9

    Proteus

    108proteus-evolve/Proteus · Python

    Proteus lets you plug any agent harness into any model, have it rewrite its own harness (prompts, memory, skills, tools, control loop) across many context-fresh episodes, and measures how that harness actually changes over time.

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