Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

An exporter of openclaw traces to langfuse using logs

A Streamlit-based AI assistant generates custom Streamlit app code from user-provided images or text using the Google Gemini model.

Site Sleuth is a chatbot that assists users in efficiently using websites by analyzing and answering questions provided through a link.

🤖 Build advanced AI agents with a collection of production-ready applications using modern frameworks for single and multi-agent systems.

In this we implement opik llm evaluation metrics on medical data analyzer

🎛️ Build efficient workflows with Deevs' Agent System, a plugin marketplace for Claude Code featuring multi-session chains and terminal control.

LangSmith tracing plugin for opencode — captures sessions, LLM calls, tool calls, reasoning, and context compaction. Trace taxonomy compatible with langsmith-claude-code-plugins.

This project aims to build a Coding Agent for the energy market. Based on the user’s goals and the tools provided, the coding agent intelligently selects and executes the appropriate actions to complete the task.

Mr.Dhamodharan's Curriculum vitae

Drop-in observability for LLM applications — automatic quality scoring, hallucination detection, and cost tracking

Developer focused LLM experimentation and debugging server for testing prompts, tools, MCP integrations, traces, and scheduled AI workflows across models

A lightweight, local-first observability proxy and dashboard designed to intercept, log, and trace LLM interactions. OpenInspector acts as a transparent middleman, offering full visibility into agentic workflows, tool executions, and latency metrics without requiring you to change a single line of your application code.

A Python proof-of-concept for tracing multi-turn Agent-to-Agent (A2A) conversations as a single unified MLflow trace for LLM observability and evaluation.

LLM Tracker is a platform for analyzing and visualizing LLM usage and costs across your projects. It provides a simple interface to monitor your expenses and understand how your different models are being used.

WhyOps - AI Agent Observability & Evaluation Platform

Implement a configurable neuromorphic processor with LIF neurons, STDP learning, and RISC-V management for FPGA-based neural computing.