Developer Tools / Self-hosting / AI Infrastructure
A self-hosted Docker Compose stack for running local AI services including Ollama, LiteLLM, Whisper, Kokoro, embeddings, and an MCP Gateway.
The page clearly describes a real AI infrastructure project with concrete components, setup steps, hardware requirements, and multiple deployment modes. It’s useful for builders who want a local or partially local AI stack, and the snapshot gives enough detail to understand what it does and how it’s used.
The snapshot does not show usage examples, screenshots, release activity, or how the pieces are wired for specific workflows beyond the architecture diagram and commands. It’s also not clear which models, vector stores, or client apps are officially supported beyond the examples listed.
Last evaluated 128 days ago. Current rank #87. Down 1 spot in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
