☁️ Build multimodal AI applications with cloud-native stack
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☁️ Build multimodal AI applications with cloud-native stack
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
Async MQTT client for CPython and MicroPython with asyncio support.
Per-repo memory, outcome telemetry, and a calibrated-confidence gate for Claude Code, with MCP and AGENTS.md projections so other AI coding tools can read its context. Notes survive sessions; success claims need test evidence; your reverts are remembered. Local-only, stdlib runtime.
Publish Claude Code usage telemetry to MQTT for Home Assistant (Clawdmeter-compatible mood/burn-rate sensors)