Fetching from the wire…
OSS2026-07-28 · source-backed
+983 stars this week to 2,478. Tree-of-thought with an architectural fix for premature convergence: a divergence phase spawns N isolated parallel agents under 15 distinct cognitive frames (economic-incentive, async-control-surface, gamification, redundancy-race) with zero shared context so branches can't anchor on each other, then a focus phase where a critic scores novelty, viability and fit, flags traps with reasons, clusters by pattern and deepens top-K survivors. Across six open-ended engineering problems: breadth 9.0 vs 4.83, novelty 7.83 vs 2.67, trap detection 9.50 vs 1.83, actionability 9.50 vs 6.50 against single-shot. And it publishes cost alongside: ~2.3× latency, ~1.9× tokens. Publishing the cost is the rare part. (GitHub)
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1. Use claude agents --json to build session dashboards. Claude Code v2.1.145 outputs all live agent sessions as structured JSON with status, model, elapsed time, and parent relationships. Pipe it into a tmux status bar widget or session picker script for switching between bac...
10,936 tokens against 1,552,491 for raw HTML across 15 real pages, and the author claims it was the only reader returning real content on every page tested. The concrete cost comparison: $0.27 against $0.52 for five Wikipedia questions, 23% cheaper than WebFetch and 35% cheape...
Alibaba International's Accio team open-sourced 107 tasks (53 CLI, 28 browser, 16 file, 10 API/MCP) running against fourteen offline replicas of real business software in a fresh container per task, with verifiers inspecting mock-service state rather than the transcript. Claud...
rust-v0.150.1, published August 27, fixes remote compaction ignoring retained images when computing token budget; it now trims older images as needed (GitHub). Sessions passing screenshots to a vision-capable agent were budgeting as though those images cost nothing, which prod...
A repo nobody was talking about yesterday just became the fastest-growing developer tool on GitHub. colbymchenry/codegraph gained 4,222 stars in a single day, landing at 12,200 and climbing. The reason is simple: it solves the biggest cost and speed bottleneck in AI-assisted c...
7,639 stars, +579 today. It drives coding agents over a large repo with configurable thinking levels, parallelization across machines and resumable scans, running a free pattern-based pass first and optional AI review stages after. GitHub The README is unusually blunt about ec...
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