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AIWorkHub
Local-first control plane for AI coding agents
AIWorkHub is an open-source, local-first control plane for multi-model software development. It coordinates Codex, Claude, Copilot, DeepSeek and GLM through dependency-aware tasks, repository Source Graphs, durable context, isolated workers and evidence-first review—all inside VS Code, with no AIWorkHub cloud account required.
Hi Product Hunt 👋
I built AIWorkHub to solve problems I repeatedly encountered while using coding models on real, long-running software projects.
The models could write code, but the engineering workflow around them kept breaking down:
• important decisions disappeared after context compaction
• agents repeatedly scanned the same repository
• parallel workers could overlap or collide
• task dependencies were difficult to coordinate
• “finished” often meant a claim rather than verified evidence
• switching between models meant losing continuity and operational control
AIWorkHub turns every Git repository into an isolated, local-first AI engineering workspace.
It provides a dependency-aware task DAG, structural Source Graph, durable project context, Session Manager, AI Memory, knowledge base, isolated model workers, callbacks, review inbox and evidence bundles containing diffs, tests, logs, artifacts and tool-use receipts.
The manager and worker roles are deliberately separated. Workers cannot approve their own work. A task is accepted only after its evidence is independently reviewed.
AIWorkHub works with models already available through VS Code or their authenticated CLIs, including Codex, Claude, Copilot, DeepSeek and GLM. It does not copy their credentials, require a separate AIWorkHub cloud account or move repository authority into a hosted service.
This was not created as a multi-agent demo or a wrapper around several chat interfaces. I built it because I needed multiple coding models to work on serious repositories without losing decisions, conflicting with each other or asking me to trust unverifiable completion claims.
AIWorkHub is open source under the MIT License and currently available through the VS Code Marketplace and GitHub Releases.
I’d especially value feedback from developers who already use coding agents on large or long-running projects:
What part of your current agent workflow loses the most time—context recovery, task coordination, model switching or review?
About AIWorkHub on Product Hunt
“Local-first control plane for AI coding agents”
AIWorkHub was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. AIWorkHub is an open-source, local-first control plane for multi-model software development. It coordinates Codex, Claude, Copilot, DeepSeek and GLM through dependency-aware tasks, repository Source Graphs, durable context, isolated workers and evidence-first review—all inside VS Code, with no AIWorkHub cloud account required.
On the analytics side, AIWorkHub competes within Open Source, Developer Tools and GitHub — topics that collectively have 627.5k followers on Product Hunt. The dashboard above tracks how AIWorkHub performed against the three products that launched closest to it on the same day.
Who hunted AIWorkHub?
AIWorkHub was hunted by Vano Chkheidze. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AIWorkHub including community comment highlights and product details, visit the product overview.
Vano Chkheidze