A practical Douyin downloader for both single-item and profile batch downloads, with progress display, retries, SQLite deduplication, and browser fallback support. ζι³ζΉιδΈθ½½ε·₯ε ·οΌε»ζ°΄ε°οΌζ―ζθ§ι’γεΎιγειγι³δΉ(εε£°)γ
A book-in-progress about the Linux kernel and its insides.
:zap: A Fast, Extensible Progress Bar for Python and CLI
A big progressive questing modpack for Minecraft 1.7.10 balanced around the mod GregTech.
The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.
Spec-Driven Development with organizational governance. Specs tell AI agents what to build; Charter governs how they build it. Git-native missions, enforceable workflows, and consistent engineering standards across AI coding agents and harnesses.
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Claude skill that turns a book (EPUB, PDF, HTML, DOCX, Markdown) into an interactive beginner-friendly course: step-by-step lessons, animations, quizzes, chapter tests, flashcards and coding exercises checked by unit tests, with progress saved to files. Runs in the browser, or packaged as an Android APK or a Linux AppImage.
A model-driven harness for AI coding agents: semantic modeling, app generation, progressive API Assist and evidence-based verification.
A collection of free MIDI chords and progressions ready to be used in your DAW, Akai MPC, or Roland MC-707/101
Progressbar 2 - A progress bar for Python 2 and Python 3 - "pip install progressbar2"
The OWASP OFFAT tool autonomously assesses your API for prevalent vulnerabilities, though full compatibility with OAS v3 is pending. The project remains a work in progress, continuously evolving towards completion.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
Local-first research memory for Codex: checkpoints, progress ledgers, and Markdown/JSON paper notes. Early alpha.
Omarchy Mobile: native Omarchy on Google Pixel phones. Arch Linux ARM, Hyprland and Omarchy on a mainline kernel (work in progress)
DeepSeek-V4.1-Flash on a single DGX Spark (GB10): resident hot experts + NVMe streaming, DSpark, OpenAI API. Work in progress.
Self-hosted coordination for AI workers: per-task graphs, device/model timelines, progress receipts, and source-aware usage. MIT.
GLM-5.3-Flash (abliterated EXL3) on 2x NVIDIA DGX Spark with the TensorFold engine: 1.8x faster decode than vLLM, 4x256k concurrent threads, byte-exact speculative decoding. Work in progress.
CYPRESS (Contextual Yield Protocol for Routed Expert Seed Systems) β a project- and vendor-agnostic multi-agent seed for AI coding tools. Drop it into any repo to give agents a large number of per-role expert team, named protocols, a progressive-discovery knowledge graph, and spec- and test-driven discipline by default.
Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.
Structured project progress and safe cross-agent handoffs in one local Markdown file
Real browser automation with local GLiNER2 inference and open weights. Work in progress. Contributions welcome.
During the July 2024 uprising, fake and manipulated images obscured the truth, making it difficult to verify evidence or track justice. Our AI powered platform authenticates images, preserves credible evidence & transparently tracks case progress, helping protect historical truth during crises and beyond.
An Open, Progressive Benchmark for Generalizable 2.5D/3D-IC Thermal Learning
A stress-testing benchmark for partial-completion evaluators in stateful multi-turn agents, focusing on temporary progress, rollback, and attribution failures.
Implementation of skill-alpha, a reinforcement learning method for progressive agent skill generation
An AI-agent skill for creating accurate, visual, progressively layered standalone HTML explainers.