Developer Tools / AI Search / RAG
A Python framework for local document search that replaces traditional embedding-based RAG with BM25 indexing, Meilisearch, and an agent loop for search, fetch, and citation-backed answers.
The page clearly describes an AI-enabled developer tool with a specific workflow, installation path, and CLI/Python usage. It explains the product’s purpose, how it works, and several concrete ways to run it locally, which is enough for a useful public listing.
The snapshot does not show full API reference, model compatibility details beyond a few examples, or enough maintenance signals to judge project maturity. The Python API section is also cut off before the complete usage example.
Last evaluated 57 days ago. Current rank #1183. Down 3 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.
