Scan codebases and generate hierarchical symbol maps, module summaries, and memory markers to help AI assistants (Claude, Cursor) navigate your code effectively.

Local in-depth observability for coding-agent sessions 🔎

See what your AI coding agents store on your machine. Scan memory files, token costs, feature flags, session transcripts, and data footprint.

Profile AI agents by intercepting LLM API traffic through a local MITM proxy. Understand how agents work: prompts, tools, MCP, token usage, costs, and timing — all in a real-time web UI.

Chrome DevTools for AI Agents — real-time observability, hallucination detection, session replay, and cost tracking. MIT licensed.

Open-source observability and audit trail platform for AI agents. MCP-native, tamper-evident event logging, real-time dashboard.

lightweight abstractions for building agent scaffolds

An open-source offline AI agent debugging tool: record, replay, analyze failures, and track costs

Java Agent 可观测性平台 - 全链路 Trace、成本归因、Spring AI / LangChain4j / AgentScope 支持

Agent lens VS code extension that gives intelligence on current state of the model's context size, files in context etc.

Open-source observability platform for AI agents. Trace every LLM call, tool use, and decision in real-time. Supports OpenAI, Anthropic, Gemini, LangChain, CrewAI, LiteLLM, MCP. Self-hosted. Zero dependencies.

No description available

AgentLens — Observability and Explainability for AI Agents

A scrollytelling visual guide to AI agents and orchestration — 10 patterns, 19 concepts, animated D3.js diagrams. No framework, no build step, single HTML file.

No description available

Explain why your agent failed — root-cause debugging, memory attribution, and run divergence for LLM agents.

Monitor and explain AI agent behavior with real-time observability and clear insights for autonomous systems.

AI Agent debugging framework - trace, analyze, and visualize your agent's execution

Agent Lens

No description available

Self-hosted AI agent observability with tool-call tracing and decision tree visualization

AI Agent Evaluation & Observability Platform — LangGraph + Gemini + OTEL + Grafana

MCP Agent Session Replay & Visual Debugger

Agent harness for AI safety & interpretability research.

Web UI for Agent Reach — search, read, and interact with 9 internet platforms from one dashboard

No description available

A real-time observability and debugging layer for AI agents.

Observability proxy for AI/LLM Agents Orchestration

AgentLens

website of agentlens