google-research/rrsi
No repository description was reported by the source.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Check out our paper and project page for more details. An LLM agent's capability is largely set by its harness: the prompts, control flow, tools, memory and context management around a frozen model. Evolving the harness against a fixed evolve set is effective but overfits: the harness memorizes the training tasks, and large in-distribution gains shrink or vanish out of distribution. RRSI keeps the harness edit space open and regularizes the search trajectory through it instead. On the proposal side, an annealed budget caps how many independent edits one candidate may bundle, the proposer is conditioned on the full edit history so a falsified hypothesis is not redrawn, and a stalled run is redirected toward components it has never exercised. On the selection side, a critic screens every candidate for suite-specific logic before it is evaluated, a noise-adjusted floor blocks gains within evaluation variance, a cost rule requires added inference…
Read the full README ↗ · Preview checked 2026-10-01T12:10:24.501Z
Inside the original README — Document outline
- RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
- 🔥 Updates
- 🧬 Overview
- ✨ Key features
- 🧩 Method to code
- ⚡️ Quickstart
- 0. Install
- 1. LLM configuration
- 2. Run an instance
- 📊 Results
- 🧱 Adding a domain
- 🧪 Tests
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
The source does not provide a repository description. Read the project README before evaluating it.
Repository facts
- Owner
- google-research
- Primary language
- Python
- Stars
- 1,102
- Forks
- 95
- Open issues + pull requests
- 4
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2026-09-16T04:50:49.000Z
- Last push
- 2026-09-23T22:16:25.000Z
Topics and intended use
No topics were included in the latest source metadata.
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-01T12:05:27.301Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related repositories
EbookFoundation/free-programming-books
donnemartin/system-design-primer