27 packages found
A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debuggi
@langfuse✓ Official🪢 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
@langfuse✓ OfficialThe 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
@langfuse✓ OfficialStandalone Next.js site for Langfuse MCP servers. The app introspects configured MCP servers at build time, writes stati
@langfuse✓ OfficialManage 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
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
Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime
Building Agents with LLM structured generation (BAML), MCP Tools, and 12-Factor Agents principles
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.
MCP server that audits RAG retrieval - logs what chunks the model saw before any answer was generated
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides,