Tracea

What it does

Agents fail silently. You fire one off, it runs, nothing comes back - no trace, no cost data, no idea which call broke. Tracea captures every tool call, LLM response, and cost spike. Automatic RCA tells you exactly why it failed. YAML detection rules catch loops, spikes, and silent errors before they hit production. Self-hosted. One Docker command. No data leaves your network. Company Brain turns every session into team memory - agents start smarter each run.

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  Trace-AIOct 2025 · ▲146

  Know What You Ship. Secure What You Depend On.

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  RetraceJul 2026 · ▲101

  Debug AI agents by replaying and forking runs

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  Trace, evaluate, and improve AI agents in production

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  TraceLLMJul 2026 · ▲100

  OpenTelemetry for production AI applications

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  Tracely26d ago · tracely-ai.com · ▲9

  Production failures become regression tests for AI agents

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  Raindrop WorkshopMay 2026 · ▲189

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  x1▲516

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  The GTM Co-Founder▲402

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  Nuphos▲380

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  Open-Source eInk Bike Computer▲375

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  Brew ▲905

  Like Claude design for email marketing

  AI · May 2026 · brew.new

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  Kilo Code for VS Code▲897

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  Give your agent a real number and voice to make calls.

  AI · May 2026 · pollyreach.ai

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  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

• FM
  Files.md – Open-source alternative to Obsidian▲730

  Dev tools · May 2026 · github.com