Show HN: ReliaMesh – Open-source reliability monitoring for AI agents

Category: observability

Tags: ai-agents, observability, reliability, python-sdk, telemetry

Score: 6.8/10 (Innovation: 6, Technical: 7, Documentation: 8, Utility: 6)

ReliaMesh is an open-source reliability monitoring service for AI agents that ingests structured outcome events (without prompts or model outputs) to detect failure-rate, latency, token, and retry regressions, with incident tracking and recovery. It offers a dependency-free Python SDK, multi-tenant authenticated ingestion, SQLite/Firestore storage backends, and an optional Solana attestation path, making it a privacy-conscious observability layer for agentic systems.

Target audience: backend devs, devops, AI/ML engineers operating agentic systems in production

Repository: https://github.com/PrefilerLabs/reliamesh · Python · Apache-2.0 · 5 stars

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