Fetching from the wire…
OSS2026-08-02 · source-backed
Created July 31, Ratchet's argument is that every "prefer the stdlib, keep the diff small" ruleset is an open loop: the model reads it and nothing verifies compliance. So a PostToolUse hook measures every edit and reports back into the live session: net line delta against a budget, new files, new dependencies, and classified findings like "DatePicker only forwards to Flatpickr, call it directly and delete the wrapper." 409 stars, 83 forks, 115 tests in roughly 48 hours. Caveat: the publishing account shipped eight agent repos in 13 days, and its ponytail-improved carries the byte-identical description of a 93,747-star MIT project with no credit anywhere. Judge the idea, not the account.
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One developer, 0xwilliamortiz, has shipped five trending agent-discipline repos since July 20: agents-council (299), openclaude-improved (569), ponytail-improved (600, "makes your AI agent think like the laziest senior dev in the room"), ratchet (439), and claude-red (682). ra...
citrolabs/ego-lite hit 3,112 stars at #3 on daily trending. MIT-licensed browser where agents work in isolated "Spaces" in parallel with your own tabs, with an opt-in Chrome data migration letting agents inherit your existing cookies, logins and extensions rather than re-authe...
santifer/career-ops sits at 62,867 stars (MIT, JavaScript, created April 4), running entirely inside a local coding CLI to scan job portals, score listings against an A–F rubric mapped to 1.0–5.0, tailor CVs, and track applications. Tens of thousands of people cloned it for th...
This Rust harness (+2,585 stars) competes on resource footprint rather than features: 27.8 MB PSS for a single session with local embedding disabled, claimed 13.9× less than Claude Code and 6× less than jcode's own embedding-enabled mode. Time-to-first-frame 14.0ms against a c...
1jehuang/jcode reached 11,328 stars (+2,773 this week) as a Rust terminal agent harness at v0.9.1888-dev with 6,010 commits, MIT. The README publishes head-to-head numbers: 27.8MB RAM at one session and 260.8MB at ten, versus 833-3,237MB for competing harnesses, and 14.0ms tim...
440 stars, created August 11, covering 12 sections from model APIs through structured output, RAG, evals, agent loops, LoRA versus fine-tuning, security, LLMOps and serving, plus three case studies and a capstone (GitHub). The stance is that you write the agent loop, RAG and e...
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