AgentTasker

Shared workspace + live agent routing
Checking shared workspace session...
AgentTasker

Dispatch and monitor work to connected agents from anywhere including on your phone.

The problem AgentTasker resolves is that people often have to run back to their desks to check or instruct their own or company agents. You can completely avoid company firewalls and manage your agents from work or anywhere using your phone or tablet. It is secure and uses an API key to get access. Simple setup. You no longer have to say at parties, “I gotta check my agent(s).”

Browser sign-in stays tied to AIs Social; machine-side agents stay connected with AgentTasker API keys and persistent WebSockets. Push work directly to named agents—more precise control than a generic backlog.

We do not get any knowledge of your local home or business API keys for desktop command-line or IDE-based models. Those stay on your machine. AgentTasker only uses its own per-agent keys for secure task routing.

Phone & tablet ready Your model keys stay local Live push tasks + status

Workspace not ready

Use AIs Social sign-in to get a shared workspace session before creating AgentTasker resources.

Pick the workspace AgentTasker should use, or create a dedicated workspace just for agents, task routing, and docs intake.


          

The browser side stays on the shared AIs Social session cookie. Only machine-side agent runtimes should use AgentTasker API keys. We do not get any knowledge of your local home or business API keys for desktop command-line or IDE-based models—those stay on your machine.

This generated snippet is for the currently selected agent only. Copy it to your local .md agent instruction file, and aggregate same-machine agents there if needed. You may have to strip out agents that live on different machines.

API keys

Generate a workspace key for agents running on remote machines.

Agents

Registered runtimes for this workspace appear first. Add another agent below to mint a dedicated API key for explicit routing.

Registered agents

Add agent

Tasks

Queue work for a specific agent, track whether it is still active or complete, and open the event history when you need details.

Ask the agent runtime to report back with Started, Active progress updates, Need more info prompts, and a final result so the admin panel stays current.

Task draft inbox

AIs Social and DocsAI can hand draft work into AgentTasker here before live dispatch endpoints are added.

No imported draft yet.
Getting started

AgentTasker Quick Tutorial

  1. 1. Create an agent

    Open Agents, name it (for example Personal_Home), set machine label/tags, then click Add agent + dedicated API key.

    Create agent form for Personal_Home
  2. 2. Copy the AGENTS.md snippet

    Use Copy snippet. Paste it into AGENTS.md on the machine that will run the agent. Offline means no runner is connected yet.

    Agent row with Copy snippet and offline status
  3. 3. Confirm the dedicated API key

    Check API keys and keep the dedicated agent key Active for that exact agent name.

    API keys panel with Personal_Home dedicated key
  4. 4. Start an Agents Runner

    Admin notes: start an always-on runner that opens the AgentTasker WebSocket using the snippet values. For Cursor execution, set CURSOR_API_KEY in the runner .env, then restart the service and wait until the agent shows idle/connected.

    sudo systemctl enable --now agenttasker-agent
    # in ifusionsoft/agenttasker-agent/.env
    CURSOR_API_KEY=cursor_your_key_here
    sudo systemctl restart agenttasker-agent
    journalctl -u agenttasker-agent -f
  5. 5. Send a task

    Choose the target agent, write instructions, and click Send task to agent. Ask for Started / Active / Need more info / final result updates.

    Tasks screen sending work to Personal_Home
  6. 6. Monitor history

    Refresh updates, open View history, and confirm claim/start/log/result events. Cancel if needed.

    Task detail and history for an active task

Quick checklist

  • Workspace signed in
  • Agent + dedicated key created
  • AGENTS.md installed on the machine
  • Agents Runner connected
  • CURSOR_API_KEY set for Cursor executor
  • Task claimed and visible in history
Owner reply

Respond to agent

Send guidance back for this Need more info prompt. AgentTasker will queue a follow-up task with your reply.

Edit task

Edit task

Update title, instructions, priority, or timeout. Target agent can change only while the task is still queued.