AI agent memory reliability: SQLite, embeddings and recall that survives restarts
AI agent memory reliability depends on more than vector search. See how SQLite state, embedding batches and source-backed recall keep long-running agents useful.
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Reliability
6 articles connected to this topic.
Multi-channel AI agent reliability: stop dropped and duplicate messages
A multi-channel AI agent fails in subtle ways: duplicate replies on Telegram, dropped final answers on Slack, lost context across reconnects. Here's why outbound delivery breaks and how OpenClaw v2026.5.28 hardens it.
Self-hosted Telegram bot polling: how v2026.5.12 stops dropped messages
Self-hosted Telegram bot polling silently dies when the main event loop stalls. v2026.5.12 moves ingress to an isolated worker with a durable local spool, so your AI agent stops missing messages.
The Reliability Gap: Why Your AI Agent Fails 6 Times a Day on a 10-Step Workflow
Princeton researchers reveal that AI agent reliability improves at half the rate of accuracy. A 10-step agent workflow at 90% per-step reliability will fail over 6 times daily — and the industry has no good fix yet.
Amazon Lost 6.3 Million Orders in a Single Outage. AI-Assisted Coding Was Part of the Problem.
A series of outages hit Amazon's e-commerce platform in early March, including one directly tied to its AI coding assistant Q. The company is now enforcing a 90-day safety reset with mandatory approval gates for 335 critical systems.
Mission Control for OpenClaw: Basic Agent Observability
If you can't see what your agents are doing, you can't trust them. Here's a practical mission control setup: runs, logs, failures, and artifact tracking.