AgentLens-Observe
Open-source observability for AI agents — self-hosted
What it does
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
Does the same job
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AgentLensApr 2026 · agentlens.techmatbd.com · ▲3Full observability for AI agents. Zero code changes.
- RTReal-time dashboard for Claude Code agent teamsApr 2026 · github.com · ▲77
This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…
- OAOodle.ai – $10 per million agent tracesJul 2026 · oodle.ai · ▲31
Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…
- RTReal-time observability for coding agentsMar 2026 · github.com · ▲14
AgentSight – eBPF observability for AI agents, no code changes16d ago · github.com · ▲17
More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
