RepoAlerts

zgcagi/Harness-RSI

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 2 days ago.

  • Licence OK

    CC-BY-4.0: 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 survey and curated reading list on harness self-evolution, where an LLM agent's persistent harness state (prompts, memory, skills, tools, and control logic) is updated from execution experience while the base model stays fixed. Covers update targets, evolutionary search…

Who it's for

Researchers and engineers studying self-improving LLM agents, agent harness design, and agent evaluation

How to use it

Ask your AI to set it up

Paste this into Claude, ChatGPT or your coding assistant.

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

Read the README

Star curve

260From 0 to 260 stars between 1 Oct 2026 and 20 Oct 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.

18,263 GitHub repos watched and ranked every hour. Figures as of 20 October 2026.

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.

[![zgcagi/Harness-RSI on RepoAlerts](https://repoalerts.com/badge/zgcagi/Harness-RSI.svg)](https://repoalerts.com/repo/zgcagi/Harness-RSI?ref=badge)
Share on X

  • google-research/harness2

    A Python framework for recursive harnessing of AI agents, which optimizes the prompts, tools, memory, skills and orchestration around a fixed model. It refines the harness per task through propose, pr

    AI agentsPython · 14,759 stars · +14,753 this week · 14 days old · HN 77 pts

  • IsuruMaduranga/harness-engineering-101

    A book-length series in Markdown that explains how AI agents work by building a roughly 300-line toy agent harness in plain Python. It covers the LLM message array, tool calls, the agent loop, context

    AI agentsPython · 376 stars · +371 this week · 44 days old · HN 132 pts

  • AgnesAI-Labs/agnes-harness

    A pluggable TypeScript agent harness for Forward Deployed Engineering. It connects models, tools, task state and business interfaces through plugins, runs and records agent work with approvals and a c

    AI agentsTypeScript · 928 stars · +542 this week · 28 days old

  • Gen-Verse/RSI-Anything

    A domain-general framework that uses world-model predictions and interaction feedback in a cycle of proposing candidate actions, predicting their outcomes, selecting and evaluating them, and retaining

    AI agentsHTML · 810 stars · +188 this week · 12 days old

  • AI4AI-for-Anything/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 · 71 stars · +71 this week · 2 days old

  • robot-agent-exploration/rax

    A harness in which general-purpose coding agents (Codex CLI or Claude Code, with a frozen model) control robots through perception and control tools. The agent learns a task from its own online explor

    AI agents146 stars · +146 this week · 7 days old