Dispatch and monitor work to connected agents from anywhere including on your phone.
The same company can now manage messaging, interviews, document workflows, and agent operations in one place.
AgentTasker keeps the browser side tied to AIs Social sign-in while machine-side agents stay connected with API keys and persistent WebSockets, so teams can manage agents on their existing network quickly, securely, and easily from anywhere.
Unlike generic backlog tools, AgentTasker follows an agent-first policy by pushing work directly to named agents for more precise control in a simpler workflow.
Shared browser auth cookie from AIs SocialDedicated AgentTasker API and databaseAgent runtimes stay connected for push tasks
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.
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
Add each agent by name here. AgentTasker will mint one dedicated API key per agent so explicit task routing only reaches the intended runtime.
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.
AgentTasker is wired for the IFusionSoft shell, AIs Social identity, and a dedicated AgentTasker API boundary.