AIWorkHub for VS Code

AIWorkHub is a repository-native control plane for multi-model software development. It gives every repository an isolated task system, Source Graph, durable project context, worker runtime and evidence-first review loop.

The extension opens as a retained editor tab and runs one repository-scoped MCP stdio runtime on the workspace host. It does not open a browser, bind a port, expose a LAN service or require an AIWorkHub cloud account.

Highlights

• Plan and inspect dependency-aware AI tasks from one operational dashboard.
• Delegate to supported local model adapters and track real terminal outcomes.
• Replace repeated raw-source discovery with a repository Source Graph covering 33 configurable language and structured-data families.
• Use 31 bounded source-intelligence modes for symbols, calls, tests, impact, complexity, ownership, hotspots, gaps and task-shaped context bundles.
• Preserve continuity through Session Manager, AI Memory and KB.
• Review diffs, tests, logs, artifacts, approval history and deterministic Quality Evidence before acceptance.
• Run a changed-file Known Bug Scanner across C/C++/CUDA, Python, JavaScript/TypeScript, Go, Java/Kotlin and PHP without treating heuristic warnings as proven failures.
• Measure whether workers used Source Graph throughout the task through authenticated tool-use receipts and continuous-use telemetry.
• Keep repositories isolated in separate .aiworkhub/ authorities.
• Run on Linux, macOS, native Windows, WSL and Remote-SSH.

Operational surface

The retained dashboard combines the task DAG, live worker output, Review Inbox, callback health, model readiness, tool-use statistics, storage retention, Source Graph coverage and bounded viewers for logs, sessions, AI Memory and KB. Settings remain repository-local under .aiworkhub/, so a multi-window installation does not share task or context authority between repositories.

Get started

1. Install the VSIX and open a Git repository in VS Code.
2. Run AIWorkHub: Open Dashboard.
3. Select the repository when using a multi-root workspace.
4. Choose Initialize AIWorkHub on first use.
5. Open a new Codex, Claude or MCP-capable chat after registration so the new runtime tools are discovered by that chat process.

Initialization is explicit and idempotent. It creates repository-local state only under .aiworkhub/ and starts the first Source Graph index in the background.

Commands

• AIWorkHub: Open Dashboard — open or reveal the retained editor tab.
• AIWorkHub: Select Repository — bind the dashboard in a multi-root window.
• AIWorkHub: Refresh Dashboard — refresh the current repository snapshot.
• AIWorkHub: Restart MCP Connection — replace only AIWorkHub's selected repository MCP child.

Remote development

AIWorkHub is a workspace extension. In Remote-SSH, install it on the remote extension host; its packaged Python runtime, MCP child and repository state run beside the remote checkout. No port forwarding is required.

Trust and privacy

• Local stdio transport; no AIWorkHub network listener.
• Read-only and launch-disabled by default.
• Repository-specific state, route identity and audit trail.
• No AIWorkHub telemetry upload of prompts, source, credentials or memories.
• Explicit manager authority for context writes and task acceptance.

Read the full Getting Started guide, Architecture, Security Policy and Product Roadmap.

Development build

npm --prefix vscode-extension install
npm --prefix vscode-extension test
npm --prefix vscode-extension run package
code --install-extension vscode-extension/dist/aiworkhub-*.vsix

AIWorkHub is open source under the MIT License.