框架之框架 • 为 RSI 打造:一个可信、持久、自进化的多智能体生态系统,用于全域协作。
recursive-self-improvement 开源项目推荐(207 个)
recursive-self-improvement 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 207 个仓库Formal verification for AI: a Lean 4 + Dafny proof checker that catches fake AI proofs (reward hacking), and verified recursive self-improvement (RSI) for coding agents. AI for math, physics and software engineering.
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.
RSI-Anything: Unlocking Recursive Self-Improvement with World Models
一体化 AI 代理。构建移动应用、前端、后端,管理文件,开展深度研究,安排任务和事件。可自我改进、自愈、完全自主。提供 TUI、CLI 和守护进程。连接你喜欢的频道。零遥测。
A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.
The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".
基于基础模型的智能体系统自我提升策划列表。
Harness self-evolution: update targets, theory, evaluation, and reported evidence. Bilingual reading list and project website.
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
A Unified Framework for Efficient RSI Research
Fewer Tokens, Better Action: GPT-6 Astra Robot Agents with 14% Higher Success but 65% Fewer Tokens
Research artifacts from Hyra (/ˈhaɪ.rɑː/)
Updated weekly — until humanity achieves AI4AI. 965 curated papers across Benchmarks, Harness Design, and Model Design — from long-horizon agents to recursive self-improvement. Citation rankings, GitHub stars, and source-verified weekly news.
RSI-Exam: Measuring Recursive Self-Improvement on Long-Horizon, Executable Research Tasks · Discord https://discord.gg/FBzhepyE
A plugin runtime for software that iterates on itself — the substrate where agents write, swap and hot-reload their own plugins in Rust, TypeScript, Python and Go, across processes and machines.
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
Typed-decision models (noul / choice / score) trained by a self-improving loop of AI agents — checkpoints, the code that produced them, and every version that failed.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/recursive-self-improvement。
- 该话题在 GitHub 上共有 207 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.9 万 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。