OpenClaw extended-stable: how to update a production agent
OpenClaw extended-stable is a monthly package channel for backported security and reliability fixes. Use this guide to choose it, preview the change, and verify the Gateway after updating.
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AI Agent Operations
13 articles connected to this topic.
OpenClaw plugins: update official extensions without losing control
OpenClaw plugins need a restart, runtime verification, and a clear source trail after an update. Use this safe workflow for official correction releases.
AI agent onboarding: a practical operating checklist
AI agent onboarding turns a promising assistant into accountable work: define its job, grant narrow access, test real tasks, and make escalation visible before you rely on it.
Offline AI assistant: what still works when your agent loses the network
An offline AI assistant runs locally; an offline-tolerant agent client preserves reading and queued messages until its Gateway returns. Learn the difference before you rely on either.
AI agent session branching: rewind a task without losing the original path
AI agent session branching lets you rewind from a specific message, test a different path, and keep the original task intact for review, recovery, or handoff.
Goal-based agents: keep long-running AI work tied to an outcome
Goal-based agents work toward a defined outcome, not a loose task list. Learn how to set evidence, constraints, checkpoints, and stop rules for long-running AI work.
Connected coding agents: hand off one session without exposing your whole workspace
Connected coding agents need a narrow handoff, not permanent access. Learn how session-scoped MCP grants, short lifetimes, workspace isolation, and explicit checkpoints keep a coding handoff reviewable.
AI agent session management: keep context, memory, and background work separate
AI agent session management keeps a live task understandable without confusing its conversation state with durable memory or unrelated background work.
OpenClaw Control UI: a practical workspace for parallel agent work
OpenClaw Control UI turns an agent gateway into a browser workspace for sessions, live tasks, usage, approvals, and safe device pairing without juggling terminal windows.
What is an AI gateway? A practical guide for self-hosted agents on macOS
What an AI gateway actually does, how it differs from a normal API gateway, and why a local gateway matters when you run self-hosted AI agents on macOS.
Mattermost slash commands for AI agent queue control
Mattermost slash commands give AI agent operators a cleaner way to inspect queued work, route ownership and keep channel control visible inside self-hosted chat.
Slack AI agent channel control: routing, queues, and model boundaries
Slack AI agent setups need more than a bot token. Learn how channel routing, relay mode, per-DM model choices, queues, and admin controls keep workplace agents usable.
OpenClaw gateway performance in 2026.5.22: faster startup paths without hiding risk
OpenClaw gateway performance improved in 2026.5.22 through cached model metadata, leaner startup paths, locked npm packages, and sharper operator diagnostics.