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Recause is an experimental programming model and runtime for writing interactive software as ordinary code. Flows stop when information is missing, represent progress in explicit serializable state…
Find the AI tells in your prose. Deterministic, local, runs in CI. MCP server + CLI + Action.
29 editorial diagram types for Claude Code. Self-contained HTML + SVG. No shadows, no Mermaid-slop.
Prime-RL coding-agent taskset: verifiable, reward-scored RL environments for modernizing legacy .NET repositories.
RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21 building blocks. Grounds Claude in re…
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.
AeroSpace is an i3-like tiling window manager for macOS
A tiling window manager for macOS based on binary space partitioning
Documentation tool built for software architecture. Document your domains, services, events and schemas — for your teams and your AI agents.
🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Co…
Build Real-Time Knowledge Graphs for AI Agents
Make your JSON data collaborative and version-controlled with CRDTs
A Git-compatible VCS that is both simple and powerful
Knwler is a lightweight Python tool that extracts structured knowledge graphs from documents using AI. Feed it a PDF or text file and receive a richly connected network of entities, relationships, …
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
The best AI workforce platform, to build AI teams that actually deliver.
Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
A tool for exploring each layer in a docker image
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar