29 packages found
A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debuggi
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Int
MCP server for Langfuse — query traces, debug errors, analyze sessions and prompts from any AI agent
The Langfuse Observability Plugin for the Claude Code Marketplace
A Slack bot and MCP client acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the i
Standalone Next.js site for Langfuse MCP servers. The app introspects configured MCP servers at build time, writes stati
Manage LLM prompts with collaborative version control — official Langfuse
Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CP
MCP 资源精选, MCP指南,Claude MCP,MCP Servers, MCP Clients
Cryptographic receipts for AI agent actions. MCP server, SDK, CLI, and dashboard. Local-first, zero infrastructure.
Open source LLM observability and monitoring. Drop-in proxy for OpenAI, Anthropic, and Gemini with request logging, cost
arifOS — Constitutional MCP kernel for governed AI execution. AAA trinity: AGI (Mind) · ASI (Heart) · APEX (Judge). Buil
Transparent MCP proxy for agent observability. Logs every tool call, exposes trace history, reduces token overhead.
Policy-as-code for MCP agents: deny risky tool calls before they run, prove what ran with verifiable evidence, and enfor
The headless FinOps intelligence layer: API-first, agent-first cost control for cloud + AI. Ask your whole bill in Claud
Local-only observability for AI agents on your machine. One timeline across coding and non-coding agents.
🦖Know why your AI-built app broke — plain-English diagnosis + ready fix, in your editor. Open source. Sentry optional.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, autom
Reproducible evaluation for AI coding agents. Multi-turn scenarios against Claude Code, Codex, Copilot, Cursor, Gemini C
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, a
Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewA
Building Agents with LLM structured generation (BAML), MCP Tools, and 12-Factor Agents principles
Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime
A massive, self-updating local archive of AI tools — 11,000+ agent skills, 240+ MCP servers, 2,200+ IDE rules (Cursor/Cl
The approval and accountability layer for agentic AI. Identity → Policy → Approval → Trace. Try: npx sidclaw-mcp-guard d
Vector MCP Server for AI Agents - Supports ChromaDB, Couchbase, MongoDB, Qdrant, and PGVector
A list of open-source AI projects you can use to generate income easily.
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides,
MCP server that audits RAG retrieval - logs what chunks the model saw before any answer was generated