golang

A Go-based API that acts as a bridge to the ComfyUI backend

Examples and code snippets demonstrating common ways of integrating Neon with various frameworks and languages.

pure go for stable-diffusion and support cross-platform.

smol-dev-go, a Go implementation of smol developer

A hedge fund on your local machine. Terminal-native algo trading engine in Go with local LLM inference (Ollama), Bubble Tea TUI, paper/live trading, and zero cloud dependency. BYOB.

Pinecone.io Golang Client

A WebRTC-native, audio-first conversational-AI framework for Go.

Unofficial Go client for the ElevenLabs API: text-to-speech, speech-to-text, sound generation, and voice management.

LocalStack for GCP. One Go binary emulating 14 Google Cloud services locally: Vertex AI, BigQuery, Spanner, Firestore, Pub/Sub, Cloud Storage, Bigtable, Cloud SQL, Memorystore, Cloud Tasks, KMS, Secret Manager, Cloud Run, Cloud Logging. Zero cloud bills.

Sorted Data Structure Server - Treds is a Data Structure Server which returns data in sorted order and is the fastest prefix search server. It also persists data on disk.

Unofficial (Golang) Go bindings for the Hugging Face Inference API

LLM-managed personal knowledge base. Auto-extracts from git repos, Claude Code sessions (via ccrider FTS5), and iMessage bookmarks. Cross-project, qmd-indexed, runs on cron

Go module for fetching embeddings from embeddings providers

Go SDK for interacting with the MCP Toolbox for Databases.

🤗 Hugging Face Inference Client written in Go

(WIP) A user-friendly, AI-powered task manager emphasizing efficient work over planning. Streamlines workflow with intelligent task generation & execution. Boost your productivity today!

Privacy-first semantic code navigation MCP server using RAG. Features deep AST multi-language support (Go, PHP/Laravel/WP, JS/TS/React, Python), 100% local LLMs (Ollama), and vector search (Qdrant) for AI IDEs like Cursor, Windsurf, Copilot, and Claude.

Train Llama 3 models from scratch. Any scale, any personality. By Arianna Method.

Implement RAG (using LangChain and PostgreSQL) for Go applications to improve the accuracy and relevance of LLM outputs

欢迎关注博客 🎉🎉🎉 ！分享开源项目、后端工程及架构、AI大模型与Agent工程架构、AI应用落地等计算机领域的原创技术文章 ：wgrape.github.io