golang

huggingface-go : 高速下载 huggingface 的模型和数据集

Self-hosted, booru-style gallery for a personal image collection

Convert Confluence MIME exports (.doc) to clean Markdown

:books: Go和大语言模型编程

MCP server for Git with local Ollama — zero tokens for git operations

Web UI for working with large language models

A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.

Lightweight proxy for LLM

Scalable Embedded Vector Index for Go and Rust

NFT pet game on Ethereum & Solana - mint, breed, train, and battle pets with Chainlink VRF-powered combat and on-chain progression.

RAMen is a fast in-memory data store like Redis, but built for AI: drop-in Redis protocol, native vector search, semantic caching, and a built-in MCP server for agents. Single Go binary, BSD-3.

local-first MCP discovery runtime for agents — search before invoke, reduce prompt bloat, and route to local MCP tools

Universal local LLM runtime. Drop-in Ollama replacement with HuggingFace integration, pipelines, structured output. Free & open source.

MuseWeb is a Prompt Driven AI WebServer

A minimalistic vector database that can be used to search for similar vectors in logarithmic time.

A hex-native embedded database for Go. Morton keys, native ring scans, seams (contradictions), MVCC, provenance, and optional HNSW embeddings. Built from scratch for lattice-addressed memory.

Blazing fast Go port of gemini-web2api. Convert Google Gemini web into OpenAI-compatible API. Zero cost, single static binary.

A comprehensive Go client library for the Perplexity AI API with support for chat completions, async jobs, streaming, multimodal messages, structured outputs, and web search integration

AI assistant for Dota 2 with real-time game analysis via GSI and advice from LLM

Scalable API gateway that aggregates calls to multiple LLMs (OpenAI, Hugging Face, Groq, Anthropic, Gemini, etc.), includes caching, rate limiting, logging, monitoring and production-ready deployment.