Open-source AI gateway for local agent clients: publish fusion-style multi-model workflows as OpenAI/Claude-compatible virtual models with traces, tokens, latency, and cost visibility.

MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems

OpenTelemetry patterns for multi-agent LLM systems. Reference implementation of distributed tracing, metrics, and observability for LangGraph agent orchestration.

OpenAI Agents Tracing | Open-Source Tracing Dashboard including Costs & Usages

Evaluation of Multi-Agent Systems on Cloud Run with the GenAI Client in Vertex AI SDK

Local-first agent debugger with replay, failure memory, smart highlights, and drift detection.

Comprehensive agent analytics suite for AI agents built with the Google Agent Development Kit (ADK) , LangChain or other popular frameworks, powered by BigQuery Agent Analytics plugin and Grafana

Substructure is an open-source engine that drives your agent loop with JSON webhooks. It keeps sessions durable and streams AG-UI events to your clients. It's language agnostic. You don't even need an SDK.

Open Reflection Protocol — Turn agent failures into regression tests, reusable lessons, and measurable improvements. Built on OpenTelemetry.

Shared context substrate for AI agents. Retrieval that learns what's useful. Runs local or cloud.

Local replay debugger for Browser Use failures with screenshots, model I/O, failed-step timelines, and public-safe HTML exports.

Claude Code session capture and analysis. Trace tool calls, detect backtracks, analyze decisions, track edit chains, and measure plan drift. Local-first, zero-dependency observability.

AI coding agent observability and causal tracing for Claude Code, Codex CLI, OpenCode, and Python workflows

Capture and analyze Claude Code sessions locally to track every tool call, decision, and reasoning step without external dependencies.

Homebrew tap for AgentTap - network-level AI agent observability

Observability and governance SDK for AI Agents

ai agent trace, Open-source runtime tracing and diagnostics for AI agent execution flows

面向 LangChain / LangGraph Agent 的轻量级可观测性平台：零侵入采集 trace，多视图（调用树/时间线/消息流/IO）可视化调用全过程，内置 middleware 聚焦。

🟢 No LangSmith required. DeerFlow Trace Edition — super agent harness (fork of bytedance/deer-flow) with BUILT-IN Execution Flow trace panel. Every LangGraph checkpoint, sub-agent, tool, and model node is inspectable directly inside chat UI. 100% local, zero SaaS, zero per-trace fees, zero data leaving your machine.

Capture and replay AI agent execution traces. Debug LangChain, OpenAI, and Anthropic agent runs step by step.