fission-ai/openspec
Spec-driven development (SDD) for AI coding assistants.
01 / MACHINE INTELLIGENCE
Models you can run. Agents you can inspect. Tools you can build on.
← All topicsSpec-driven development (SDD) for AI coding assistants.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
LeanCTX — the Context OS for AI development. One local binary that compresses, remembers, routes, and verifies every token between your code and the model. 63 MCP tools, 10 read modes, up to 99% token savings. Works with Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini.
high-performance inference and serving library for interactive autoregressive video and world models
58 implementations of synthetic learning problems from Jürgen Schmidhuber's papers (1989-2025). Pure numpy, laptop-runnable, paper-comparison metrics per stub. Algorithmic-lineage companion to hinton-problems.
Cuda kernels for leveraging LLM sparsity to improve throughput and decrease the memory requirements during inference and training.
The lightweight framework for building agents.
AI-powered Resume Analyzer built with React & Puter.js. Includes seamless auth, upload and store resumes, and match candidates to jobs using smart AI evaluations. All wrapped in a clean, reusable UI.
A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
Native macOS and iOS App for the Hermes AI agent — multi-window, multi-server (local + remote over SSH). Chat, dashboard, sessions, memory, cron, MCP, and more.
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
Official Codebase for "DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos" (ICML 2026)
Ideogram 4: Open image model at the forefront of design
A benchmark for evaluating AI agents on frontier research tasks including system optimization and model development.
Give Claude Code the persistent memory it was missing and turn it into your operational co-pilot.
Give a query, get a dataroom. Pi + self-hosted Qwen3.6 research harness on a single L4.
Figma plugin that extracts local style guidelines and generates DESIGN.md and SKILL.md files for AI tools such as Claude Code, Codex, Cursor, and other AI tools
6-line caveman micro prompt (85 tokens) that outperformed the original 552-token skill. Benchmark on Claude Sonnet + Opus included.
A digital camera you can build yourself with Codex.
Zero instrucment system-level AI agent tracing in eBPF
Like htop, but for AI coding agents. Monitor Claude Code & Codex CLI sessions, tokens, context window, rate limits, and ports in real-time.
Evaluate and improve models and agents using environments
AI agent to evaluate and score resumes.