43 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
Fully autonomous AI Agents system capable of performing complex penetration testing tasks
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
A simple and well-tailored LLM application framework that enables you to seamlessly integrate LLM capabilities in the mo
Diff your AI agent's behavior between two runs. See exactly which tool calls, args, costs and outputs changed when you s
Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CP
Run Claude agents in secure cloud sandboxes — via API, CLI, or Slack. One call. Full agent. Zero infrastructure.
Cryptographic receipts for AI agent actions. MCP server, SDK, CLI, and dashboard. Local-first, zero infrastructure.
MCP 资源精选, MCP指南,Claude MCP,MCP Servers, MCP Clients
Open source LLM observability and monitoring. Drop-in proxy for OpenAI, Anthropic, and Gemini with request logging, cost
Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewA
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
Lightweight, open-source AI agent for your tools, chats, and workflows.
A curated list of Generative AI tools, works, models, and references
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides,
Curated workflow recipes that combine hooks, MCP servers, skills, agents, and CLAUDE.md to automate real Claude Code tas
AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
A massive, self-updating local archive of AI tools — 11,000+ agent skills, 240+ MCP servers, 2,200+ IDE rules (Cursor/Cl
Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime
Vector MCP Server for AI Agents - Supports ChromaDB, Couchbase, MongoDB, Qdrant, and PGVector
The approval and accountability layer for agentic AI. Identity → Policy → Approval → Trace. Try: npx sidclaw-mcp-guard d
A map of what AI tokens actually cost, and where they're wasted vs. well spent. Tools, research, practices, and copy-pas
非线智能 NoneLinear - ReLE评测:中文AI大模型能力评测(持续更新):目前已囊括374个大模型,覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE
Find out where your coding agent starts degrading. Personal context-rot analytics from your own sessions - 100% local, z
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across
A list of open-source AI projects you can use to generate income easily.
Building Agents with LLM structured generation (BAML), MCP Tools, and 12-Factor Agents principles
MCP server that audits RAG retrieval - logs what chunks the model saw before any answer was generated
Production-ready AI chat. Start here and make it your own. Formerly Sparka AI