25 articles connected to this topic.
AI agent reliability often breaks at the provider-response boundary: an error payload, an oversized body, or an out-of-credits message. How the runtime reads that response decides whether the agent recovers or hangs.
AI agent update safety means treating version checks, release tags and dependency patches as control-plane decisions, not background maintenance noise.
Anthropic extended thinking can fail after cache expiry or Gateway restarts. OpenClaw's beta fix shows how agents should recover without deleting session history.
Interrupted tool calls expose whether an AI agent can preserve state, resume safely and report failure clearly instead of leaving a user-facing run half-finished.
AI agent timeouts prevent stuck provider, plugin and tool calls from freezing a run; OpenClaw 2026.6.1 turns more wait states into bounded recovery.
Windows AI agent hosting is moving from browser tabs to native nodes. Here is what OpenClaw 2026.6.1 changes for self-hosted Windows automation.
AI agent tool call errors usually come from malformed arguments, not bad reasoning. Here is how OpenClaw v2026.5.28 repairs smart-quoted edit arrays and quarantines unsupported tool schemas instead of failing the turn.
AI agent rate limits break scheduled jobs when a 429 lands mid-run. Here's how retry budgets, exponential backoff with jitter, and preflight model fallback keep cron automations finishing instead of silently skipping.
Codex app-server reliability is the quiet half of 2026.5.27. Here is how shared clients survive startup failures, hook relays live through restarts, and workspace memory routes through tools.
AI agent auth profiles separate model credentials by provider, runtime, and operator so self-hosted agents can migrate logins, recover cleanly, and reduce credential blast radius.
A meeting notes agent is only useful when its summaries trace back to clean transcripts, source chunks and replayable context. OpenClaw 2026.5.26 moves that path into the core runtime.
OpenClaw gateway performance improved in 2026.5.22 through cached model metadata, leaner startup paths, locked npm packages, and sharper operator diagnostics.
On-device Android AI agent architectures like X-OmniClaw move perception, memory, and app control onto the phone. Here is what that means for self-hosted assistants.
xAI device code OAuth lets headless AI agents authorize from SSH, containers, and remote hosts without a localhost browser callback or pasted API key.
OpenClaw plugin SDK lets teams ship typed tool plugins without loading runtime code for discovery; this guide explains the build flow and where it fits beside MCP.
Agent provider plugins keep self-hosted AI agents lighter by moving heavy channel and model dependencies out of the core install until operators need them.
AI agent tool policies should vary by sender, channel, and action risk. OpenClaw 2026.5.12 adds sender-scoped controls for safer self-hosted agents.
Provider plugins in OpenClaw 2026.5.12 move heavy Slack, Bedrock, Anthropic Vertex, and sandbox dependency cones out of core installs so operators only pull what they use.
An LLM idle watchdog catches silent model streams before they hang an agent turn. The 2026.5.12 fix escalates through profile rotation and configured model fallback instead of leaving the turn stuck.
Agent runtime fallbacks let an ACP turn try a backup model or runtime when the primary is unavailable, so a single dead backend stops killing user-facing replies.
Telegram bot reliability improves when polling, queueing and reply delivery are isolated from the main agent loop instead of sharing one fragile event path.
How to run a self-hosted Discord voice agent on v2026.5.7: permission audit via channels capabilities, the new 2.5s capture silence grace default, and STT tuning that stops the bot interrupting people.
How /steer and active-run steering work in v2026.5.3+: send guidance to a running session without queuing a new turn, with worked examples and the safer queue defaults from v2026.4.29.
Microsoft's Semantic Kernel RCE research shows why prompt injection in AI agents is no longer just a text problem. Here's how self-hosted agent builders should think about tool boundaries.
OpenAI now says prompt injection may never be fully solved for browser agents like ChatGPT Atlas. Here is what that means for chat-channel agents and self-hosted setups.