:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Repository Index
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🪢 Open source AI engineering platform: AI Gateway, agent observability, evals, and prompt/skill management, built on OpenTelemetry. One open platform for every AI call and every agent. Self-host or use Langfuse Cloud.
- analytics
- llm
- llmops
- large-language-models
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
- machine-learning
- ai
- ml
- mlflow
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Open source observability platform for logs, metrics, traces, RUM (web, android, ios), Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.
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
- agentneo
- agents
- ai-performance-optimization
- llm-testing
AI Observability & Evaluation
- llmops
- ai-monitoring
- ai-observability
- llm-eval
The Open Runtime for AI Agents
Free, local tool to track AI coding token usage and cost across 37 tools and agents (Claude Code, Cursor, Codex, Gemini and more), by model, project, and task. npx codeburn
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Source control for agents. Use multiple coding agents, track their changes and query them in one place
Real-time Claude Code usage monitor with predictions and warnings
- ai
- claude
- claude-code
- limits
Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.
- claude-code
- reliability
- agent-reliability
- hooks
Open Source LLM Gateway 🦚
- openclaw
- cost-tracking
- llm-observability
- token-tracking
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
- llmops
- observability
- open-telemetry
- metrics
Plano is an AI-native proxy server and data plane for agentic apps. Smart LLM routing, observability, agent orchestration, and guardrails so you stay focused on your agents core logic.
- gateway
- generative-ai
- llm-inference
- llms
Self-hosted TypeScript agent runtime with durable approvals and verifiable run records. Own it, approve it, audit it.
Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 50 other agents.
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
- large-language-models
- prompt-engineering
- agent-monitoring
- analytics
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
🛰️ Track token usage across AI coding agents from your terminal. 🏅 Global leaderboard with trillions of tokens tracked.
- claude
- claude-code
- codex
- cursor
See what Claude Code and Codex actually send to the API — and what each part costs.
- claude-code
- codex-cli
- cost-tracking
- observability