by infinri · Agent Tool · ★ 103
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Writ A Claude Code harness that gives every coding session two helpers: a fast librarian that picks the rules that fit the current task, and a process keeper that blocks risky writes until you have approved a plan and tests. At the live 276-rule production corpus (post Phase 1-5 public-rulebook expansion), the librarian returns ranked results in 0.590 ms at the 95th percentile. At the 10,000-rule synthetic scale, it still holds at 0.557 ms while reducing context tokens by 726 times versus loading the whole rulebook every turn. See for the v1.2.0 release notes (proactive context-window management, hook hot-path latency consolidation, friction-log mode canonicalization, PostToolUse banner fix) and the v1.0.0 + v1.0.1 + v1.1.0 history of capabilities shipped. Browse the architecture in your browser Four self-contained HTML pages render the whole system. No clone or install required: open any link below and walk the diagrams. A sticky top nav inside each page cross-links to the other three, so you can flip between layers without coming back to the README.
| Stars | 103 |
| Forks | 8 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 35.8/100 |
| Last Updated | 2026-05-22 |
| Created | 2026-03-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~151k |
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Writ is Claude Code harness for AI coding agents. Hybrid-RAG librarian picks relevant rules in 0.59 ms p95 (BM25 + vector + graph traversal); process keeper blocks writes until plan + tests approved. 276 rule. It is categorized as a Agent Tool with 103 GitHub stars.
Writ is primarily written in Python. It covers topics such as agent-tools, ai-coding, bm25.
You can find installation instructions and usage details in the Writ GitHub repository at github.com/infinri/Writ. The project has 103 stars and 8 forks, indicating an active community.
Writ is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Writ on Agent Skills Hub include iai-personal-memory-engine, memex, devrag. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.