Realtime dashboard for agents
- A GitHub repo called openclaw-mission-control published a real-time dashboard for monitoring autonomous agents. - The project was shared as a tool for monitoring multi-agent state, telemetry, and mission progress. - The dashboard provides a ready example for embedded real-time monitoring and could accelerate control-system visibility during tests (x.com)
A new GitHub project called OpenClaw Mission Control packages a live dashboard for watching autonomous agents, tasks, and logs in one browser window. (github.com) The repo describes itself as a “real-time, high-performance dashboard” built with Convex, React, and Tailwind CSS, with task moves, agent updates, comments, and document creation synced instantly across clients. The public repo showed 262 GitHub stars and 55 forks when checked on April 23, 2026. (github.com) A second package under the same name frames the tool as a command-center interface for OpenClaw, with a Kanban board, agent status indicators, model and capability details, and a one-command local launch via `npx openclaw-mission-control` on port 3000. Its setup flow asks for a gateway WebSocket address and auth token before opening the dashboard locally. (github.com) Agent dashboards solve a basic operations problem: once several bots are running at once, state is scattered across terminals, logs, and message streams. Mission Control pulls those signals into one screen with columns such as Inbox, Assigned, In Progress, Review, and Done. (github.com) That fits the way OpenClaw itself is being positioned in its documentation: a self-hosted, open-source system that runs on a user’s own hardware, uses a gateway for multi-channel connections, and supports tool use, memory, and multi-agent routing. A monitoring layer becomes more useful as more agents and channels are attached to the same runtime. (docs.openclaw.ai) The GitHub repo from `manish-raana` focuses on observability more than orchestration. Its README highlights live agent counts, task-state tracking, and synchronized logs “without polling or message queues,” which makes it a reference design for teams testing agent workflows and wanting immediate visibility into failures or stalls. (github.com) The `navjotdhanawat` version leans further into operator controls. Its README says users can create tasks, dispatch them to agents, and monitor progress through a Kanban-style workflow, turning the dashboard from a passive monitor into a lightweight control plane. (github.com) OpenClaw’s main GitHub organization has grown into a large open-source project, with the flagship `openclaw/openclaw` repository showing 362,000 stars on April 23, 2026, alongside active docs, plugins, and gateway tooling. That scale helps explain why third-party dashboards and “mission control” interfaces are appearing around the ecosystem. (github.com) The immediate takeaway is practical rather than theoretical: developers building with autonomous agents now have off-the-shelf examples for live monitoring instead of stitching together custom admin panels from scratch. For teams running tests on local hardware or internal networks, that can turn agent behavior from something inferred after the fact into something watched as it happens. (github.com)
