Launching today

AgentLens-Observe

Launching today

Open-source observability for AI agents — self-hosted

3 followers

Open-source observability for AI agents — self-hosted

3 followers

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AgentLens is a self-hosted observability platform built specifically for AI agents. Unlike LangSmith (cloud-only) and Langfuse (LLM-focused),AgentLens understands agent topology — tool calls, handoffs, sub-agent spawns, and decision trees. 🔍 Agent Topology Graph ⏪ Time-Travel Replay 🔀 Trace Comparison 💰 Cost Tracking 🚨 Alerting 📡 Live Streaming 🔌 OTel Ingestion One-command deploy: docker run -p 3000:3000 tranhoangtu/agentlens-observe

Free

Launch tags:Open Source•Developer Tools•Artificial Intelligence

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Unblocked — Get AI agents to generate code that fits your system.

Get AI agents to generate code that fits your system.

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Maker

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Hey PH! 👋 I built AgentLens because I kept losing hours debugging multi-agent AI systems. The existing tools either lock your data in the cloud or don't understand agent-specific concepts like tool handoffs and sub-agent spawns. AgentLens is fully self-hosted (Docker one-liner), free forever (MIT), and designed from day one for agents — not just LLM calls. The topology graph is the feature I'm most proud of — it turns a wall of logs into a visual map of exactly what your agent did. Would love to hear what debugging pain points you hit with AI agents!

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1d ago