Developer Tools / RAG / Retrieval
Hubmesh is a Python library for multi-hop GraphRAG retrieval planning on top of existing vector databases. It adds centrality-aware seed selection, budget-aware context packing, entity graph building, and an MCP server for agent/tool integrations.
The page clearly describes a real AI-adjacent developer tool with a specific purpose, concrete features, and working quickstart examples. It shows installation and usage across in-memory, Qdrant, Chroma, and KG/LLM-based modes, plus an MCP server for agent integration, which makes it useful for a public directory listing.
The crawl snapshot does not show release history, package/version details, benchmarks, or evidence of maintenance beyond the repository contents. It also does not show runtime examples, output screenshots, or how the planner compares against alternatives in practice.
Last evaluated 37 days ago. Current rank #529. Up 2 spots 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.
