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TokenHub
See your coding agent token usage in one local dashboard
TokenHub brings recorded token usage from Codex, Claude Code, Hermes Agent, VS Code Copilot Chat, and Antigravity into one local dashboard. Explore agents, models, sessions, trends, and estimated costs. Collection requires source approval, and only usage metadata is retained. Free and open source.
I use several AI coding agents across different subscriptions and wanted one place to understand their recorded token usage.
TokenHub runs locally and organizes that usage by agent, model, and session. A lot of the work has been in reconciling different formats, avoiding duplicate counts when history is copied or imported again, and making missing counters visible.
It doesn't need provider API keys. You approve the local sources it imports, and it retains usage metadata rather than transcript content. Cost estimates use editable rates and should not be read as invoices or subscription balances.
Install with `pip install tokenhub`, then run `tokenhub` to open the dashboard.
The gallery shows the TokenHub 0.1.6 interface with generated sample data.
I'd love feedback on the setup experience and which usage breakdowns would help you most.
About TokenHub on Product Hunt
“See your coding agent token usage in one local dashboard”
TokenHub was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #141 on the daily leaderboard. TokenHub brings recorded token usage from Codex, Claude Code, Hermes Agent, VS Code Copilot Chat, and Antigravity into one local dashboard. Explore agents, models, sessions, trends, and estimated costs. Collection requires source approval, and only usage metadata is retained. Free and open source.
On the analytics side, TokenHub competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how TokenHub performed against the three products that launched closest to it on the same day.
Who hunted TokenHub?
TokenHub was hunted by Aldrin Joseph. 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 TokenHub including community comment highlights and product details, visit the product overview.
Aldrin Joseph
Hi, I'm Aldrin, the maker of TokenHub.
I use several AI coding agents across different subscriptions and wanted one place to understand their recorded token usage.
TokenHub runs locally and organizes that usage by agent, model, and session. A lot of the work has been in reconciling different formats, avoiding duplicate counts when history is copied or imported again, and making missing counters visible.
It doesn't need provider API keys. You approve the local sources it imports, and it retains usage metadata rather than transcript content. Cost estimates use editable rates and should not be read as invoices or subscription balances.
Install with `pip install tokenhub`, then run `tokenhub` to open the dashboard.
The gallery shows the TokenHub 0.1.6 interface with generated sample data.
I'd love feedback on the setup experience and which usage breakdowns would help you most.