RepoAlerts

RUC-NLPIR/FlashRSI

Library

Can I trust it?

No red flags in our checks.

  • Stars from real accounts No data

    We haven't checked its stars for fakes yet.

  • Active OK

    Last change today.

  • Licence OK

    Apache-2.0: you can use it for free, also in a commercial product. Keep the licence notice.

Quick checks from public data. They help, but they are no guarantee.

What it is

A unified experiment framework for reproducing and comparing recursive self-improvement methods for AI agents. It runs RSI algorithms against benchmarks and agent harnesses, recording evolved resource snapshots, trajectories, and final test results.

Who it's for

Researchers and developers evaluating self-improving AI agents across benchmarks and agent harnesses

How to use it

Install

python -m pip install -e ".[all]"

From its README. Check it there before running it.

Ask your AI to set it up

Paste this into Claude, ChatGPT or your coding assistant.

Help me install and set up RUC-NLPIR/FlashRSI in my project. Follow its README: https://github.com/RUC-NLPIR/FlashRSI. Explain each step and check it is safe before running anything.

Star curve

316From 0 to 316 stars between 29 Sept 2026 and 4 Nov 2026.

Get alerts for repos like this

We'll email you when something in AI agents starts rising. Free, once a week, only what matches.

What arrives: one email on Mondays with the repos that match, never more. See last week's. Privacy

For maintainers

Add this badge to your README. It shows the repo's place on the radar, updates every hour and links back to this page.

[![RUC-NLPIR/FlashRSI on RepoAlerts](https://repoalerts.com/badge/RUC-NLPIR/FlashRSI.svg)](https://repoalerts.com/repo/RUC-NLPIR/FlashRSI?ref=badge)
Share on X

  • rsi-gear/gear

    A TypeScript framework that optimizes AI agent harnesses (instructions, tools, workflows and model settings) on a benchmark of tasks. A Meta agent analyzes execution trajectories and evaluation feedba

    AI skillAI agentsTypeScript · 410 stars · +196 this week · 78 days old

  • OpenSenseNova/SenseNova-RoboRSI

    A framework for building, evaluating and iteratively improving embodied agents on a shared runtime. It connects models, prompts, skills and robot tools, runs benchmark environments with native scoring

    AI agentsPython · 401 stars · +83 this week · 26 days old

  • Gen-Verse/DiscoveryRSI

    A Python harness for recursive, hypothesis-centred research workflows in life science. It runs multi-agent hypothesis development, records revision lineage and evidence, compiles selected investigatio

    AI agentsPython · 144 stars · +4 this week · 20 days old

  • Open-RUA/uni-robot-agent

    Open-source Python harness for robot-use agents that runs Codex or Claude Code runtimes against simulated robot environments such as RoboDojo, RoboUse and RoboLab. Includes a Python SDK, a local live

    AgentAI agentsPython · 171 stars · +164 this week · 2 days old

  • DAGroup-PKU/ResearchBoost-Agent

    An autonomous agent that profiles bottlenecks in AI training code, implements optimizations, and validates speedups against a frozen judge that checks bitwise equivalence and statistical training equi

    AI agentsPython · 208 stars · +52 this week · 17 days old

  • SakanaAI/AI-Scientist-v3

    Orchestrates coding agents that draft a task, propose and run experiments, evaluate results against a task rubric, run baselines and ablations, and write a paper, keeping every stage under one run dir

    AI agentsPython · 622 stars · +76 this week · 24 days old