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13 packages • ⭐ 34,269 total stars

langfusev3.178.0🏛️ Flagship25,291

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

crate6.3.2🌳 Mature4,390

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

langwatchlangwatch-3.4.1🌳 Mature3,206

The platform for LLM evaluations and AI agent testing

Raphtoryv0.17.0🌳 Mature605

Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust

tracerootv0.2.0🌳 Mature510

TraceRoot - open-source observability and self-healing layer for AI agents. YC S25

Frappe_Assistant_Corev2.4.3🌿 Growing212

Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model

ctxrayv2.2.1🌱 Seedling43

See how you really use AI — X-ray your AI coding sessions locally

didoo-marketing-suitemain@2026-05-21🌱 Seedling8

Your AI Media Buyer. Actually Knows You. Learns your voice. Runs your campaigns. Never clocks out.

gsc-mcpmain@2026-06-06🌱 Seedling1

🔍 Access Google Search Console analytics directly to uncover SEO insights, keyword cannibalization, and traffic opportunities with ease.

searchmain@2026-06-05🌱 Seedling1

🔍 Implement hybrid search using Vespa and FastAPI, blending BM25 and dense semantic retrieval for efficient, accurate information retrieval.

substack-publisher-mcpmain@2026-06-02🌱 Seedling1

Provide stable access to Substack data by connecting MCP clients to the official Publisher API for post analytics and subscriber info.

mcp-reticlemain@2026-05-31🌱 Seedling1

📊 Analyze and visualize Model Context Protocol (MCP) traffic with RETICLE, your Wireshark-like tool for better network insights.

@agent-analytics/climain@2026-05-14🌱 Seedling

Stop juggling dashboards. Let your agent do it. Analytics your AI agent can actually use — track, analyze, experiment, optimize.