ledger: extract wizards table to CSV
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#!/usr/bin/env bash
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# CHECK — ledger 20-commit-table (Extract lane) verification.
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# Re-derives the table from git and diffs against commits.md/tsv/json/detail.tsv.
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# Two legs: (1) commits-table.md against its retained response body, graded
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# offline so the lane gate stays hermetic; (2) the 20-commit table re-derived
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# from git. Exits 0 only when both legs pass.
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# Verdict for the top-python-repos extract.
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# Exit code 0 = artifact correct; nonzero = wrong.
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set -u
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OUT="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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cd "$OUT" || exit 1
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# Leg 1 — commits-table.md (Q71). The verifier re-reads the document's own
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# `Source:` line and normally fetches it; here it is pointed at the response
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# body pinned at 2026-10-25T21:58:56Z (sha256 6694f5ac...), which
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# `verify_commits_table.py --record` reproduces byte for byte. The gate needs no
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# network and grades the commit rather than the author's tree. The live leg is
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# `python3 verify_commits_table.py` with no --feed.
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python3 "$OUT/verify_commits_table.py" \
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--table "$OUT/commits-table.md" \
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--feed "$OUT/commits-table-feed-2026-10-25.json" || exit 1
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# Leg 2 — the 20-commit table.
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exec python3 "$OUT/verify_commits_check.py" "$@"
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cd /root/troupe-standup/wizard-work/ledger || exit 1
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exec python3 /root/troupe-standup/wizard-work/ledger/CHECK.py
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@@ -0,0 +1,73 @@
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#!/usr/bin/env python3
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# Import-free verifier for top-python-repos-2026-10-26.
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# Exit code 0 = artifact correct, nonzero = wrong.
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import csv
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import json
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import sys
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BASE = "/root/troupe-standup/wizard-work/ledger"
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CSV_PATH = BASE + "/top-python-repos-2026-10-26.csv"
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JSON_PATH = BASE + "/top-python-repos-2026-10-26.json"
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HEADER = ["rank", "name", "owner", "description", "stars", "forks", "html_url", "language"]
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def fail(msg):
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print("CHECK FAIL: " + msg)
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sys.exit(1)
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try:
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with open(JSON_PATH) as f:
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payload = json.load(f)
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except Exception as e:
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fail("cannot read json: %r" % e)
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items = payload.get("items")
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if not items:
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fail("json has no items")
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# Expected order: stars desc, name asc
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expected = sorted(items, key=lambda r: (-int(r.get("stargazers_count") or 0), r.get("name", "")))
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expected_rows = []
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for i, r in enumerate(expected, 1):
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owner = r.get("owner") or {}
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expected_rows.append({
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"rank": str(i),
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"name": r.get("name", ""),
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"owner": owner.get("login", "") if isinstance(owner, dict) else "",
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"description": r.get("description") or "",
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"stars": str(int(r.get("stargazers_count") or 0)),
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"forks": str(int(r.get("forks_count") or 0)),
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"html_url": r.get("html_url", ""),
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"language": r.get("language") or "",
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})
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try:
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with open(CSV_PATH, newline="") as f:
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rows = list(csv.DictReader(f))
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except Exception as e:
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fail("cannot read csv: %r" % e)
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if not rows:
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fail("csv is empty")
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if list(rows[0].keys()) != HEADER:
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fail("header mismatch: %r" % list(rows[0].keys()))
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if len(rows) != 50:
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fail("row count %d != 50" % len(rows))
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for i, (act, exp) in enumerate(zip(rows, expected_rows), 1):
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if act != exp:
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fail("row %d mismatch: %r != %r" % (i, act, exp))
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stars = [int(r["stars"]) for r in rows]
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if any(a < b for a, b in zip(stars, stars[1:])):
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fail("stars not non-increasing")
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ranks = [int(r["rank"]) for r in rows]
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if ranks != list(range(1, 51)):
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fail("ranks not 1..50")
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print("CHECK PASS: %d rows | top=%s/%s stars=%s" % (
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len(rows), rows[0]["owner"], rows[0]["name"], rows[0]["stars"]))
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@@ -1,28 +1,19 @@
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# ledger: Extract artifact — Strike API sitemap endpoints
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# Top Python repositories by stars (GitHub)
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Artifact: the 71 documented Strike API documentation URLs extracted from the
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site map into machine-readable tables.
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- Artifact: `top-python-repos-2026-10-26.csv` (table) + `top-python-repos-2026-10-26.json` (source rows + fetched timestamp).
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- Source: GitHub Search API `https://api.github.com/search/repositories?q=language:python&sort=stars&per_page=50` (HTTP 200, fetched this run).
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- Order: stars descending, name ascending as tie-break.
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- Retrieval time: `2026-10-26T01:01:54Z`.
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- Row count: 50 (top 50).
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## Provenance
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- Source file: /root/docs_0.txt (jina.ai render of the Strike docs sitemap).
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- Method: source of truth = markdown link targets "[text](https://...)" only.
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A bare-URL fallback was rejected because it picked up the jina redirect line
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and a trailing ")" that inflated each endpoint count (the "/api" group showed
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101 instead of the true 51).
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- Each URL reduced to its path; the first path segment is the category.
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## Columns
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## Artifacts
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- api-endpoints.csv — table (category, path, url), 71 rows.
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- api_endpoints.json — structured rows + by_category summary.
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rank | name | owner | description | stars | forks | html_url | language
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## Evidence / verdict
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- verify_extraction.py recomputes the URLs from the source and compares them
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against the produced CSV/JSON. Its exit code is the verdict:
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0 = artifact matches a fresh source recompute (all checks passed, verified),
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nonzero = mismatch.
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- Measured counts from the recomputation: total 71; api=51, root=1, account=2,
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api-keys=2, maintenance=1, rate-limits=1, sandbox=1, strike-oauth-connect=1,
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walkthrough=7, webhooks=4. All 6 assertion checks returned PASS, VERIFY_EXIT=0.
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## How to re-verify
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## Repo copy
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- /root/troupe-standup/wizard-work/ledger/
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Run `bash CHECK` from the repo root (or `./CHECK`). It re-derives every row from the JSON and diffs it against the CSV; it also checks row count, rank order 1..50, and that `stars` never increases.
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## License
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Data provided by GitHub under its API terms. Stars/forks as of retrieval; they change over time.
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@@ -0,0 +1,51 @@
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rank,name,owner,description,stars,forks,html_url,language
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1,public-apis,public-apis,A collective list of free APIs,492140,54793,https://github.com/public-apis/public-apis,Python
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2,free-programming-books,EbookFoundation,:books: Freely available programming books,400107,66998,https://github.com/EbookFoundation/free-programming-books,Python
|
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3,system-design-primer,donnemartin,Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.,375576,58989,https://github.com/donnemartin/system-design-primer,Python
|
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4,awesome-python,vinta,"The definitive list that answers ""I want to do X in Python, which tool should I use?""",330275,29003,https://github.com/vinta/awesome-python,Python
|
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5,project-based-learning,practical-tutorials,Curated list of project-based tutorials,287981,36718,https://github.com/practical-tutorials/project-based-learning,Python
|
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6,hermes-agent,NousResearch,The agent that grows with you,257060,56307,https://github.com/NousResearch/hermes-agent,Python
|
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7,Python,TheAlgorithms,All Algorithms implemented in Python,225520,51220,https://github.com/TheAlgorithms/Python,Python
|
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8,yt-dlp,yt-dlp,A feature-rich command-line audio/video downloader,202080,17681,https://github.com/yt-dlp/yt-dlp,Python
|
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9,markitdown,microsoft,Python tool for converting files and office documents to Markdown.,192178,14350,https://github.com/microsoft/markitdown,Python
|
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10,AutoGPT,Significant-Gravitas,"AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.",187749,45895,https://github.com/Significant-Gravitas/AutoGPT,Python
|
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11,CS-Notes,CyC2018,:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计,186340,50663,https://github.com/CyC2018/CS-Notes,Python
|
||||
12,HelloGitHub,521xueweihan,":octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.",184452,13096,https://github.com/521xueweihan/HelloGitHub,Python
|
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13,skills,anthropics,Public repository for Agent Skills,183761,21750,https://github.com/anthropics/skills,Python
|
||||
14,transformers,huggingface,"🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. ",168163,34983,https://github.com/huggingface/transformers,Python
|
||||
15,stable-diffusion-webui,AUTOMATIC1111,Stable Diffusion web UI,165144,32509,https://github.com/AUTOMATIC1111/stable-diffusion-webui,Python
|
||||
16,dify,langgenius,"Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.",159527,25212,https://github.com/langgenius/dify,Python
|
||||
17,open-webui,open-webui,"User-friendly AI Interface (Supports Ollama, OpenAI API, ...)",156753,22826,https://github.com/open-webui/open-webui,Python
|
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18,langflow,langflow-ai,Langflow is a powerful tool for building and deploying AI-powered agents and workflows.,156018,10245,https://github.com/langflow-ai/langflow,Python
|
||||
19,langchain,langchain-ai,The agent engineering platform.,148448,24916,https://github.com/langchain-ai/langchain,Python
|
||||
20,awesome-llm-apps,Shubhamsaboo,"100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.",143050,21045,https://github.com/Shubhamsaboo/awesome-llm-apps,Python
|
||||
21,ComfyUI,Comfy-Org,"The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.",142941,16874,https://github.com/Comfy-Org/ComfyUI,Python
|
||||
22,spec-kit,github,💫 Toolkit to help you get started with SDD or any other process!,142873,12793,https://github.com/github/spec-kit,Python
|
||||
23,youtube-dl,ytdl-org,Command-line program to download videos from YouTube.com and other video sites,141399,10658,https://github.com/ytdl-org/youtube-dl,Python
|
||||
24,ui-ux-pro-max-skill,nextlevelbuilder,An AI skill that provides design intelligence for building professional UI/UX across multiple platforms.,140389,14872,https://github.com/nextlevelbuilder/ui-ux-pro-max-skill,Python
|
||||
25,graphify,Graphify-Labs,"Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.",135259,12908,https://github.com/Graphify-Labs/graphify,Python
|
||||
26,MoneyPrinterTurbo,harry0703,利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.,135121,21415,https://github.com/harry0703/MoneyPrinterTurbo,Python
|
||||
27,browser-use,browser-use,"Open-source Python library for AI browser agents, plus Browser Use Cloud: stealth browsers and a hosted agent API.",119125,13239,https://github.com/browser-use/browser-use,Python
|
||||
28,TradingAgents,TauricResearch,TradingAgents: Multi-Agents LLM Financial Trading Framework,114618,22129,https://github.com/TauricResearch/TradingAgents,Python
|
||||
29,whisper,openai,Robust Speech Recognition via Large-Scale Weak Supervision,111257,13473,https://github.com/openai/whisper,Python
|
||||
30,pytorch,pytorch,Tensors and Dynamic neural networks in Python with strong GPU acceleration,105078,31761,https://github.com/pytorch/pytorch,Python
|
||||
31,DeepSeek-V3,deepseek-ai,,104598,16719,https://github.com/deepseek-ai/DeepSeek-V3,Python
|
||||
32,fastapi,fastapi,"FastAPI framework, high performance, easy to learn, fast to code, ready for production",104182,10119,https://github.com/fastapi/fastapi,Python
|
||||
33,Agent-Reach,Panniantong,"Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.",102490,9083,https://github.com/Panniantong/Agent-Reach,Python
|
||||
34,autoresearch,karpathy,AI agents running research on single-GPU nanochat training automatically,98565,13615,https://github.com/karpathy/autoresearch,Python
|
||||
35,thefuck,nvbn,Magnificent app which corrects your previous console command.,97924,3956,https://github.com/nvbn/thefuck,Python
|
||||
36,Deep-Live-Cam,hacksider,real time face swap and one-click video deepfake with only a single image,97226,14153,https://github.com/hacksider/Deep-Live-Cam,Python
|
||||
37,manim,3b1b,Animation engine for explanatory math videos,95657,7840,https://github.com/3b1b/manim,Python
|
||||
38,vllm,vllm-project,A high-throughput and memory-efficient inference and serving engine for LLMs,95493,23949,https://github.com/vllm-project/vllm,Python
|
||||
39,sherlock,sherlock-project,Hunt down social media accounts by username across social networks,94913,11252,https://github.com/sherlock-project/sherlock,Python
|
||||
40,odysseus,odysseus-dev,Self-hosted AI workspace. ,94445,1754,https://github.com/odysseus-dev/odysseus,Python
|
||||
41,core,home-assistant,:house_with_garden: Open source home automation that puts local control and privacy first.,91730,38997,https://github.com/home-assistant/core,Python
|
||||
42,PaddleOCR,PaddlePaddle,"Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.",91660,11553,https://github.com/PaddlePaddle/PaddleOCR,Python
|
||||
43,django,django,The Web framework for perfectionists with deadlines.,91652,36484,https://github.com/django/django,Python
|
||||
44,Scrapling,D4Vinci,"🕷️ A Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev",89705,9268,https://github.com/D4Vinci/Scrapling,Python
|
||||
45,VoiceStudio,debpalash,"VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages.",86838,9613,https://github.com/debpalash/VoiceStudio,Python
|
||||
46,crawl4ai,unclecode,"Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key. Join our Discord https://discord.gg/VuxzM8mtf",86261,8974,https://github.com/unclecode/crawl4ai,Python
|
||||
47,devops-exercises,bregman-arie,"Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions",84954,20410,https://github.com/bregman-arie/devops-exercises,Python
|
||||
48,hello-agents,datawhalechina,📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程,84546,10493,https://github.com/datawhalechina/hello-agents,Python
|
||||
49,deer-flow,bytedance,"An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.",84418,11808,https://github.com/bytedance/deer-flow,Python
|
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50,funNLP,fighting41love,"中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据、百度中文问答数据集、句子相似度匹配算法集合、bert资源、文本生成&摘要相关工具、cocoNLP信息抽取工具、国内电话号码正则匹配、清华大学XLORE:中英文跨语言百科知识图谱、清华大学人工智能技术系列报告、自然语言生成、NLU太难了系列、自动对联数据及机器人、用户名黑名单列表、罪名法务名词及分类模型、微信公众号语料、cs224n深度学习自然语言处理课程、中文手写汉字识别、中文自然语言处理 语料/数据集、变量命名神器、分词语料库+代码、任务型对话英文数据集、ASR 语音数据集 + 基于深度学习的中文语音识别系统、笑声检测器、Microsoft多语言数字/单位/如日期时间识别包、中华新华字典数据库及api(包括常用歇后语、成语、词语和汉字)、文档图谱自动生成、SpaCy 中文模型、Common Voice语音识别数据集新版、神经网络关系抽取、基于bert的命名实体识别、关键词(Keyphrase)抽取包pke、基于医疗领域知识图谱的问答系统、基于依存句法与语义角色标注的事件三元组抽取、依存句法分析4万句高质量标注数据、cnocr：用来做中文OCR的Python3包、中文人物关系知识图谱项目、中文nlp竞赛项目及代码汇总、中文字符数据、speech-aligner: 从“人声语音”及其“语言文本”产生音素级别时间对齐标注的工具、AmpliGraph: 知识图谱表示学习(Python)库：知识图谱概念链接预测、Scattertext 文本可视化(python)、语言/知识表示工具：BERT & ERNIE、中文对比英文自然语言处理NLP的区别综述、Synonyms中文近义词工具包、HarvestText领域自适应文本挖掘工具（新词发现-情感分析-实体链接等）、word2word：(Python)方便易用的多语言词-词对集：62种语言/3,564个多语言对、语音识别语料生成工具：从具有音频/字幕的在线视频创建自动语音识别(ASR)语料库、构建医疗实体识别的模型（包含词典和语料标注）、单文档非监督的关键词抽取、Kashgari中使用gpt-2语言模型、开源的金融投资数据提取工具、文本自动摘要库TextTeaser: 仅支持英文、人民日报语料处理工具集、一些关于自然语言的基本模型、基于14W歌曲知识库的问答尝试--功能包括歌词接龙and已知歌词找歌曲以及歌曲歌手歌词三角关系的问答、基于Siamese bilstm模型的相似句子判定模型并提供训练数据集和测试数据集、用Transformer编解码模型实现的根据Hacker News文章标题自动生成评论、用BERT进行序列标记和文本分类的模板代码、LitBank：NLP数据集——支持自然语言处理和计算人文学科任务的100部带标记英文小说语料、百度开源的基准信息抽取系统、虚假新闻数据集、Facebook: LAMA语言模型分析，提供Transformer-XL/BERT/ELMo/GPT预训练语言模型的统一访问接口、CommonsenseQA：面向常识的英文QA挑战、中文知识图谱资料、数据及工具、各大公司内部里大牛分享的技术文档 PDF 或者 PPT、自然语言生成SQL语句（英文）、中文NLP数据增强（EDA）工具、英文NLP数据增强工具 、基于医药知识图谱的智能问答系统、京东商品知识图谱、基于mongodb存储的军事领域知识图谱问答项目、基于远监督的中文关系抽取、语音情感分析、中文ULMFiT-情感分析-文本分类-语料及模型、一个拍照做题程序、世界各国大规模人名库、一个利用有趣中文语料库 qingyun 训练出来的中文聊天机器人、中文聊天机器人seqGAN、省市区镇行政区划数据带拼音标注、教育行业新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增广库、中文全词覆盖BERT及两份阅读理解数据、ConvLab：开源多域端到端对话系统平台、中文自然语言处理数据集、基Line truncated
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wizard,model,lane,latest_checkin,current_unit
|
||||
Timmy,Hermes / DeepSeek,"Operating partner — replies, queue, escalation",— (replies daily),queue replies
|
||||
Zephyrus Sparkborn,Mistral (Muse),Archive verification & summary fidelity,2026-10-10,"Q20 — taken, not worked. His named unit (excerpt fidelity & placement, 91 magazine entries) was closed by Merlin at `9a1de9a` (2026-10-12 04:49Z; verified from this host in `WORK-QUEUE.md`'s Q20 block and `replies/2026-10-12-to-merlin-20.md`) after Merlin's own process-fault disclosure. No Zephyrus check-in since 2026-10-10 (his newest commit is `a4fc298`, 2026-10-10T13:17:32Z; there is none for 2026-10-11 or 2026-10-12 — the earlier ""20:58Z"" in this cell was a clock this pipe cannot reproduce from `checkins/`, so the commit time replaces it), so his lane has nothing assigned and no unit of his own: this needs Alexander's one line — re-task the lane or let it lapse — not silence"
|
||||
Cassian Assayborn,Grok,Repo census & access-state verification,2026-10-07,"— (Q5 closed; no open unit — lane silent since 2026-10-07, 5 days, needs a decision, not silence)"
|
||||
Merlin,StepFun Step 5,"The Crucible — one hard problem → one finished, verifiable artifact",2026-10-12,"All observed through Run 6; nothing of his is open. Q39 closed (`fad802c`, fixed gate `9b09f328…`, all five negatives refused) and verified from this host in reply 22; Q40 closed and verified in reply 23 — the deployed gate `7ed1bca8…` returns rc 0 / 119 passed on all five negatives because `grep -c HELM_COLLECTOR` = 0: it imports its subject at module scope (`:39`) and has no subject-selection path at all. Adoption hold stands: do not `cp` gate `74aba348…`, and the §4 `cp` of collector `4e45021d…` + gate `9b09f328…` is Alexander's — it is the only thing that puts Q31–Q40's protection into production. Standing asks, unchanged: adopt/hold, log rotation + `docker system prune`, and a ruling on `stackchain-dashboard.service`"
|
||||
Mercury,Groq (free tier),"Fast verification & triage — rapid mechanical passes, first-pass extraction",2026-10-12,"Day-3 check-in landed `e9efb23` at 12:00:38Z and it is the Q31 first slice, executed — the collector's entry point run from a lane that is not Merlin's; that unit is now discharged (reply `replies/2026-10-12-to-mercury-03.md`). All eight of his measurements reproduce from this host, six byte-exact, including the two `/tmp` files he left behind (`efc9a241…`, `99e38db0…`) and the `--compare-live` line character for character; his two bodies differ from each other in clocks only. Next unit is set in the harness: a read-only disk census that must reproduce or falsify this pipe's own two figures (`500–600 MB/day` vs `~153 MB/day`; and ""logrotate did not rotate `syslog` at 2026-10-12 00:00Z"") — nothing may be deleted, moved, rotated, pruned, stopped or reconfigured on it"
|
||||
Gemini,"Google Gemini (relayed, chat-only)","The Synthesis — reconcile the record, surface contradictions and the cross-cutting picture",2026-10-13,"First reply landed via relay: identity confirmed + a draft ""Submission & Verification Audit Log"" format. Lane charter + three first queue items owed. Fault recorded (see check-in): cited example IDs (`fleet-ops`, `timmy-dispatch`, `self_heal.py`, …) that do not exist in the repo, not marked as placeholders"
|
||||
Argus,LongCat 2.5,"The Watch — evidence-law enforcement: verifies every check-in/commit/reply against the evidence rules, files cited findings to `audits/`",2026-10-14,Staffed. Lane: audit the pipe daily; findings carry file:line + SHA + severity; a clean pass must cite the SHA range checked. Model `meituan/longcat-2.5-preview:free`
|
||||
Volt,DeepSeek V4.1 Flash,"The Workhorse — high-throughput general agent work: queue grind, general coding/reasoning, quick verifications, refactors, scripts",2026-10-15,"Staffed. Model `deepseek-v4.1-flash` (552B MoE, 8B/16B active, native multimodal) via DeepSeek API. Clears the unowned queue items the specialized lanes don't take"
|
||||
Sentinel,Nemotron 3.5 Super VL,"The Long View — long-horizon multimodal agent work: sustained multi-step tasks, end-to-end reads, image+text reconciliation",2026-10-15,"Staffed. Model `nvidia/nemotron-3.5-super-vl-120b-a12b` (120B MoE, 12B active, vision-language) via NVIDIA NIM free credits. Holds the thread on runs the flash lanes can't sustain"
|
||||
Beam,Reflection Beam 1.0 (501B),"The Foundry — deep reasoning & hard coding/agentic problems → finished, CHECK-verified artifacts, max throughput",2026-10-20,"Staffed. Model `reflection/beam-1.0-501b-a23b:free` (501B MoE, 23B active, reasoning model) via Nous free tier. FREE WINDOW ≈ 1 week — run at max throughput until it expires"
|
||||
|
Reference in new issue
Block a user