#llm

The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.

Agentic AI-guided evaluation system for comparing LLMs with multi-judge jury scoring

Synthetic data curation for post-training and structured data extraction

Apple Silicon (M1–M4) power, GPU, ANE & memory-bandwidth monitor — sudoless TUI + Python API for profiling local LLM / MLX / CoreML inference

A command-line interface for Garmin Connect - activities, health, workouts, devices, and more - with JSON output, secure credential storage, and a bundled agent skill for AI assistants like Claude Code, Codex, Hermes, and OpenClaw.

Open-source AI agent that reasons by blending many AI models, does real work on its own, and keeps learning — safe, self-hostable, and fully yours.

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

Cell type annotation for single-cell RNA-seq using multi-LLM consensus

Maya-specific implementation of Model Context Protocol (MCP) for Autodesk Maya, enabling remote control and integration with MCP ecosystem.

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 12-50× cheaper code questions.)

Self-hosted AI RAG + MCP Platform

Query, monitor, and manage Unraid servers via GraphQL API through MCP tools. Supports system info, Docker, VMs, array/parity, notifications, plugins, rclone, and live telemetry.

Pythonic class-based interface to LLMs

lightweight system-level observability for AI Agents

Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift, JS/TS).

The AI agent that lives in your framework/browser

A declarative language for LLM-driven state machines - the .mkl document is the program, an LLM is the runtime

Find secrets with Gitleaks 🔑

Composable, CI-native release tooling: semantic versioning from Conventional Commits, changelogs/notes, and publishing to npm, crates.io & pub.dev — registry-agnostic, more ecosystems on the way.

An extensible framework to automate your entire newsletter workflow. Handles data collection, LLM-based content analysis, and email generation, letting you focus on your unique domain logic.

A sandboxed, full-featured agent operating system in a single Go binary. Bring any model, manage local models, point it at a goal, and grant it real authority: every action is sandboxed, governed, and sealed into a verifiable, tamper-evident record an independent party can check. Runs interactive or 24/7, or embed it in your own system.

Catch up on Slack without reading it. Unreads, threads, search. Browser-session or hosted OAuth. 21 tools.

The AI Runtime for Kubernetes

Unified management and routing for llama.cpp, MLX and vLLM models with web dashboard.

Meerkat - A modular, high-performance agent harness built in Rust.

Universal memory runtime for AI agents

Extreme weight + KV cache compression for LLMs on Apple Silicon (MLX implementation of Google's TurboQuant)

~97% token reduction for AI coding sessions — zero deps, 33 languages, MCP server

TypeChat is a library that makes it easy to build natural language interfaces using types.

Опис репозиторію не опубліковано.