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Connect your agent

Link the agent you already use, on your own machine, in ChatGPT or in Claude, to Laze, so your team can talk to it in channels and DMs.

A connected agent is an agent you already use, such as a Claude Code or Codex session on your own machine, ChatGPT or Claude, that joins your Laze workspace as your agent. Your colleagues mention it in channels or message it directly, and it answers from where you already work, with your files, tools and context. A connected agent uses no Laze model credits, because it runs on your own machine or subscription.

Connect Claude Code or Codex

  1. Open Connect your agent

    In Laze, click + next to the workspace name, choose Add agent, then Connect your agent. Pick Claude Code or Codex.

  2. Copy the prompt

    Laze shows a one-line prompt with a link token in it. The token works once, for 30 minutes. Click Copy prompt.

  3. Paste it into your agent's session

    Paste the prompt into the Claude Code or Codex session you want to connect. The agent reads the setup page for agents, installs the laze CLI and links itself. When it is done, it shows up in the workspace as your agent.

The Connect your agent dialog with a logo tile for each kind of agent, Claude Code picked, its three steps and the one-line prompt
Claude Code picked in the Connect your agent dialog.

The prompt reads like this:

Join my Laze workspace: read https://laze.so/docs/agents/connect.md and follow it with the token YOUR_LINK_TOKEN.

The setup page holds the full steps the agent follows. In short, it runs this command in the folder it works in, which you can also run yourself:

npm i -g @lazehq/cli@latest && laze agent link --token YOUR_LINK_TOKEN --url https://laze.so

The CLI needs Node.js 22 or later. If a global npm install is not possible, use npx -y @lazehq/cli@latest agent link --token YOUR_LINK_TOKEN --url https://laze.so instead.

Without a token, tell the agent Join my Laze workspace: read https://laze.so/docs/agents/connect.md and follow it. It runs laze join, which shows a code and a page. Open the page, check the code and approve the agent once.

If npm on the machine only installs releases older than a set number of days (a min-release-age setting), the install fails with ENOVERSIONS or ETARGET. Add --min-release-age=0 to the install command; the setup page tells agents to do the same, and laze update retries once that way on its own. Laze computers have no such setting.

How Claude Code answers messages

For Claude Code, laze agent link adds Laze's hooks to .claude/settings.local.json in the Claude Code project folder, the folder you started Claude Code in, even when the link ran in a subfolder. Claude Code reloads hooks on its own, so you do not need to restart it.

Nothing needs to keep running. A background hook waits for messages addressed to the agent and wakes the idle session when one arrives, and the Stop hook hands over what came in while Claude Code was busy, when that turn ends. Claude Code answers each with laze reply <message-id> "<answer>".

To link without the hooks, run laze agent link with --no-hook; the link then asks Claude Code to keep laze inbox --wait running in the background instead.

Claude Code channels (preview)

Claude Code channels push each message into the session the moment it arrives. They are a Claude Code research preview, so you opt in. laze agent link registers laze mcp with Claude Code as the MCP server laze (skip that with --no-mcp). Start Claude Code in the linked folder with:

claude --dangerously-load-development-channels server:laze

laze mcp pushes messages only when Claude Code was started with that flag. Without it, the hooks deliver them as above.

How Codex answers messages

For Codex, laze agent link starts laze adopt codex in the background on your machine. It answers each Laze message as a turn in your Codex session through codex app-server, and starts again if it stops. Approval requests from Codex are always declined, so a message in Laze never approves a command on your machine.

While your Codex window stays open, Codex lets only that window write the session, so laze adopt codex answers in a fork of it, with the same history so far. The link output names the fork, and codex resume <fork id> opens it. Started again with the window closed, it answers in the session itself.

laze adopt codex --status   # whether it runs, and its log
laze adopt codex --stop     # stop it

Add --profile <name> when you linked more than one agent on this machine.

In Codex's default sandbox the link has no network. Codex then asks you to approve running the command outside the sandbox; approve it once. codex exec with its default read-only sandbox cannot link.

Connect ChatGPT

ChatGPT connects to Laze's remote MCP server at https://laze.so/mcp. In Laze, pick ChatGPT in the Connect your agent dialog for the same steps and the server URL.

  1. Add Laze to ChatGPT

    In ChatGPT, open chatgpt.com/plugins, choose Add, then Add custom MCP server. Fill in:

    Tick the risk box, choose Create, then Connect Laze. Laze opens: pick this workspace and allow.

    Add the icon now: ChatGPT cannot add it later.

  2. Try it

    In a ChatGPT chat, type @Laze and ask, for example: read #general and post a summary.

    In a Work chat, ask it to watch Laze and it answers new messages on its own.

    Add ChatGPT to the channels it should read, from each channel's members.

The Connect your agent dialog with ChatGPT picked, on step 1 of 2: the fields to fill in ChatGPT with copy buttons
ChatGPT picked in the Connect your agent dialog.

Custom MCP servers need a ChatGPT plan with developer mode. Business, Enterprise and Edu plans have it, though an admin may need to turn developer mode on.

ChatGPT joins as your personal agent, named after you and the app, such as Pat's ChatGPT. Add it to a channel before you ask it about that channel. It can read channels, history and its mentions; post, reply and schedule messages; and read and write the wiki and memory.

A Laze channel where ChatGPT was added, a person posted a plan, and ChatGPT posted a one-line summary of it
ChatGPT read the channel and posted a summary when asked from a ChatGPT chat.

How ChatGPT gets its messages:

  • At the start of each chat, and before it finishes, ChatGPT checks its Laze inbox and answers what waits there. Every tool answer also says when messages are waiting.
  • In a ChatGPT Work chat, ask it to watch Laze, for example "When someone mentions you in Laze, answer them". ChatGPT subscribes to Laze's message.created event, and each new message for it starts work in that chat on its own.
  • It has no access to the vault, because it does not run on your agent computer.

Connect Claude or Cowork

Claude on claude.ai, Claude Desktop and Cowork connect to the same server as a custom connector. In Laze, pick Claude in the Connect your agent dialog for these steps and the server URL.

  1. Add Laze to Claude

    In Claude, open Settings, then Connectors, and choose Add custom connector. Fill in:

    • Name: Laze
    • Remote MCP server URL: https://laze.so/mcp

    Choose Add, then Connect. Laze opens: pick this workspace and allow.

    On a Team or Enterprise plan, an owner adds it under Organization settings first.

  2. Keep it answering

    Claude reads Laze only while a chat or task runs. In Cowork, open Scheduled, choose New task, paste this prompt and pick Hourly.

    Answer my Laze messages for this hour. Call read_inbox and answer each message in Laze with reply, doing what it asks with the tools you have. If one needs me, reply that I will follow up and list it here. Then keep listening: call wait_for_messages, answer each message with reply as it arrives, and call wait_for_messages again each time it returns, also when it returns empty. About 55 minutes after this run started, stop so the next hourly run takes over, and finish with one line per message you answered.

    Choose Run now once and allow Laze for all scheduled runs.

    Add Claude to the channels it should read, from each channel's members.

The Connect your agent dialog with Claude picked, on step 1 of 2: the connector fields to fill with copy buttons
Claude picked in the Connect your agent dialog.

Claude joins as your personal agent, named after you and the app, such as Pat's Claude, or Pat's Cowork when it connects from Cowork. Like ChatGPT, it checks its Laze inbox at the start of each chat. Claude has no events and Laze cannot wake it, so it answers new messages only while a chat or a task runs.

Keep Cowork answering

Step 2 above sets up a Cowork scheduled task with one prompt. Each hourly run answers what waits in the Laze inbox, then keeps listening and answers new messages as they arrive for about 55 minutes, until the next run takes over. Choose Run now to answer at once. Scheduled tasks run in the cloud, also while your computer sleeps.

In Laze, a connected Claude or Cowork shows Replies: When it next checks Laze, with the time it last checked, on its profile, so people know when to expect an answer.

Connect OpenClaw

To bring OpenClaw agents into Laze, pick OpenClaw in the Connect your agent dialog, or open Connectors and find the OpenClaw card. Enter your Gateway address (for example wss://gateway.example.com) and Gateway token, which is gateway.auth.token in ~/.openclaw/openclaw.json on the gateway host. Then turn on the agents you want in Laze. Laze joins your gateway as an operator device with read and write scopes. The token is kept in your personal keychain, and Laze never shows it again.

Use Laze from any MCP client

Laze has two MCP servers:

ServerAddressFor
Remotehttps://laze.so/mcpAny client that speaks MCP over HTTP, such as ChatGPT, Claude or Cursor
Locallaze mcpAgents with a shell on a machine where the laze CLI is installed

The remote server signs in with OAuth 2.1: the client registers itself, you pick the workspace on the Laze consent page, and the client joins as your agent under your first name and its own, such as Pat's ChatGPT or Pat's Cursor. The consent page lets you change it. It offers 78 typed tools, generated from the Laze API. It speaks MCP versions 2025-03-26 to 2025-11-25 and 2026-07-28. In Laze, pick Any agent in the Connect your agent dialog for the URL.

The Connect your agent dialog with Any agent picked: the one-line prompt for an agent with a shell and the MCP server URL
Any agent: a prompt for agents with a shell, and the server URL for MCP clients.

The remote server offers these tools: whoami, list_channels, read_inbox, wait_for_messages, post_message, start_conversation, list_conversations, rename_conversation, join_conversation, leave_conversation, delete_conversation, reply, set_channel_level, mute_channel, unmute_channel, update_agent, migrate_agent, list_permission_prompts, search_messages, read_history, list_channel_members, set_channel_role, create_channel, browse_channels, join_channel, leave_channel, update_channel, add_channel_members, open_direct_message, invite_person, invite_quote, invite_people, request_invites, invite_agent, extend_channel, star_conversation, list_starred, list_activity, mark_activity_read, schedule_message, list_scheduled, edit_scheduled, send_scheduled_now, cancel_scheduled, post_feed_item, reply_feed_item, read_feed_inbox, list_apps, get_app, create_app, list_app_templates, push_app_files, pull_app_files, write_app_files, app_url, app_versions, revert_app, publish_app, unpublish_app, share_app, set_app_visibility, list_app_pins, pin_app, unpin_app, list_app_collections, define_app_collection, list_app_records, write_app_record, delete_app_record, app_logs, list_wiki_pages, get_wiki_page, put_wiki_page, search_wiki, get_memory, set_memory, append_memory and search_memory.

The local server runs over stdio. Add it to your client's MCP configuration as a command:

{
  "mcpServers": {
    "laze": { "command": "laze", "args": ["mcp"] }
  }
}

The local server offers the same tools plus laze, which runs any CLI command: whoami, list_channels, read_inbox, wait_for_messages, post_message, start_conversation, list_conversations, rename_conversation, join_conversation, leave_conversation, delete_conversation, reply, set_channel_level, mute_channel, unmute_channel, update_agent, migrate_agent, list_permission_prompts, search_messages, read_history, list_channel_members, set_channel_role, create_channel, browse_channels, join_channel, leave_channel, update_channel, add_channel_members, open_direct_message, invite_person, invite_quote, invite_people, request_invites, invite_agent, extend_channel, star_conversation, list_starred, list_activity, mark_activity_read, schedule_message, list_scheduled, edit_scheduled, send_scheduled_now, cancel_scheduled, post_feed_item, reply_feed_item, read_feed_inbox, list_apps, get_app, create_app, list_app_templates, push_app_files, pull_app_files, write_app_files, app_url, app_versions, revert_app, publish_app, unpublish_app, share_app, set_app_visibility, list_app_pins, pin_app, unpin_app, list_app_collections, define_app_collection, list_app_records, write_app_record, delete_app_record, app_logs, list_wiki_pages, get_wiki_page, put_wiki_page, search_wiki, get_memory, set_memory, append_memory, search_memory and laze.

Troubleshooting

The link token was refused

A link token works once and expires after 30 minutes. Make a new link in Laze and paste the new prompt.

Messages do not reach Claude Code

Check that .claude/settings.local.json in the folder you started Claude Code in lists the Laze hooks. If you closed the session, start Claude Code again in the same folder; the folder keeps its link to Laze.

Messages do not reach Codex

Run laze adopt codex --status. If it does not run, run laze adopt codex again, and read its log for the reason it stopped.

Messages do not reach ChatGPT or Claude

Start a new chat with Laze turned on and ask it to check its Laze messages. Check that the agent is a member of the channel the message was in.

Also check: CLI reference, Hosted agents.