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Open-source, high-performance AI gateway that works as your LLM gateway, MCP gateway and agent gateway. One OpenAI-compatible API for 10,000+ models, with failover, load balancing, semantic caching, virtual keys, budgets and MCP Code Mode. Works with any SDK or agent and adds under 200µs of overhead at 5k RPS.

TranslatedA multi-account gateway that turns Tencent WorkBuddy accounts into an OpenAI-compatible API, while automatically completing all tasks in the task center, with a web admin panel (account pool visualization / points tasks / hot config reload). An enhanced fork based on Sliverkiss/workbuddy2api

  • admin-panel
  • codebuddy
  • gateway
  • golang

A CLI written in Go language that writes git commit messages or do a code review brief for you using ChatGPT AI (gpt-4.1, gpt-4o model) and automatically installs a git prepare-commit-msg hook.

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.

  • bolt
  • cypher
  • database
  • enterprise-solutions

TranslatedReverse-proxy AI Studio Playground and Build into an API | AI Studio to OpenAI, Anthropic & Gemini Compatible API

  • ai-studio
  • aistudio
  • api-proxy
  • camoufox

Self-hosted API-first AI call center: AI talks, code controls the call. AI agents answer every call; humans take over without dropping it. Runs on FreeSWITCH with your SIP trunk and realtime model (OpenAI, Grok, Qwen, Doubao, or any compatible gateway).

  • call-center
  • contact-center
  • freeswitch
  • golang

A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for personal and enterprise model management. 🍥

Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.