AgentLens-Observe

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

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  AgentLens2025 · github.com · ▲7

  See your AI agent's future before it fails

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  AI Observability by OpenObserveAug 2026 · openobserve.ai · ▲317

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  AgentLensApr 2026 · agentlens.techmatbd.com · ▲3

  Full observability for AI agents. Zero code changes.

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  Hey HN, We’ve been building browser agents for a while. In production, we kept converging on the same pattern: deterministic scripts for the happy path, agents only for edge cases. So we built Demonstrate Mode. The idea is simple: You perform your workflow once in a remote browser. Notte records the interactions and generates deterministic automation code. How it works: - Record clicks, inputs, navigations in a cloud browser - Compile them into deterministic code (no LLM at runtime) - Run and deploy on managed browser infrastructure Closest analog is Playwright codegen but: - Infrastructure…

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  Progress AI ObservabilityAug 2026 · telerik.com · ▲168

  Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequent matching calls locally so duplicate requests never hit the provider. It’s meant to reduce three pains that show up together in agent development: token cost, feedback-loop latency, and output non-determinism. We’d love to hear your thoughts.

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  AgenticSeek – Self-hosted alternative to cloud-based AI tools2025 · github.com · ▲122

  I’ve spent the last two months building AgenticSeek, a privacy-focused alternative to cloud-based AI tools like ManusAI. It runs entirely on your machine—no API calls, no data leaks. Why AgenticSeek? Optimized for local LLMs (developed mostly on an RTX 3060 running deepseek r1 14b). Truly private: All components (TTS, STT, planner) run locally. More responsive than alternatives (we respond fast to issues + active Discord). Designed to be fun—think JARVIS-like voice control, multi-agent workflows, and a slick web UI. Current Features: Web browsing (research + form filling), code…

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