GPT-6 Astra in OpenClaw: access, model selection, and safe first runs
GPT-6 Astra in OpenClaw works for eligible OpenAI API-key and ChatGPT or Codex accounts. Learn how to confirm access, select the model, and test it safely.
20 articles connected to this topic.
GPT-6 Astra in OpenClaw works for eligible OpenAI API-key and ChatGPT or Codex accounts. Learn how to confirm access, select the model, and test it safely.
OpenClaw configuration can hot-apply many changes, but some still need a Gateway restart. Use this safe workflow to edit, validate, observe, and recover settings.
OpenClaw 2.0 upgrade guide for v2026.8.1: create a verified backup, inspect migration findings, run supported repairs, and confirm your Gateway works before returning to normal work.
Install OpenClaw on Linux with the supported installer, verify the Node runtime and Gateway, then choose a systemd user service or desktop companion without mixing install paths.
OpenClaw config write reliability depends on more than a successful patch: verify the committed generation, watch reload state, and keep a recovery path for failed changes.
Agent lifecycle management gets safer when one process owns restarts, state writes, and repair. Learn when OpenClaw external supervisor mode fits and how to hand over safely.
OpenClaw session tools let an agent inspect, hand off, and coordinate visible work without turning session keys or transcripts into unrestricted access.
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.
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 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.
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 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 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 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 keeps a live task understandable without confusing its conversation state with durable memory or unrelated background 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 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 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 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 improved in 2026.5.22 through cached model metadata, leaner startup paths, locked npm packages, and sharper operator diagnostics.