AI Observability & Evaluation
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Updated
Apr 21, 2026 - Python
AI Observability & Evaluation
The open-source Observability 2.0 database. One engine for metrics, logs, and traces — replacing Prometheus, Loki & ES.
AI observability platform for production LLM and agent systems.
Evaluation and Tracking for LLM Experiments and AI Agents
Laminar - open-source observability platform purpose-built for AI agents. YC S24.
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.
TraceRoot - open-source observability and self-healing layer for AI agents. YC S25
Fiddler Auditor is a tool to evaluate language models.
Small Language Model Inference, Fine-Tuning and Observability.
A comprehensive solution for monitoring your AI models in production
AI runtime inventory: discover shadow AI, trace LLM calls
A Python client to interact with Arize API
AxonFlow: Runtime control layer for production AI
Observable AI cognition in Kotlin Multiplatform. Every agent decision emits a structured event — peer into the glass brain.
An architectural persistence experiment for large language models. Claude’s Home gives an AI time, memory, and place by combining scheduled execution with a durable filesystem, allowing one continuous instance to reflect, create, and evolve across sessions.
🎙️ Voice-native document intelligence using Gemini, ElevenLabs STT/TTS, and Datadog observability — turning text documents into spoken conversations.
Make your OpenClaw agents better, cheaper, and faster.
The open-source runtime for AI agents. Sandboxed execution with built-in tools, human-in-the-loop approvals, Slack integration, and durable workflows with automatic retries and prompt caching. You write the agent. Polos handles the infrastructure.
AICW Rankings is open-source tool for AI / GEO marketers to track mentions of brands by AI
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