Capybara Broker
Makes every token count
A calm approach to reusable context and efficient token flow.
Recent 30 days · 12.22B
Record AI usage at the source, then turn token flow into cost, rhythm, and role insight.
TokenFlow looks at your last 30 days, such as when you work, how many agents and model vendors you use, and how much context you reuse, then picks the role that fits best. These are all of them.
A calm approach to reusable context and efficient token flow.
Moves between harnesses and keeps the work moving.
Steady sessions and connected devices form a dependable workshop.
Gets work moving when the morning arrives.
Finds a quiet rhythm in the late-night hours.
A larger output share gives ideas room to become words.
Explores different model providers and combines their strengths.
Several harnesses work together like threads on a loom.
Image and video model activity brings a visual rhythm to the work.
Returns to familiar context and develops it with care.
Every README card and blog chart below comes from this dashboard. When new usage syncs, each shared copy updates with it, so there is nothing to re-export.
Paste one Markdown line into a GitHub profile; the refreshable SVG shows activity, streaks and active days.
Embed trend, hourly rhythm, cost or model-share charts in a post; readers hover for daily detail.
Devices, harnesses, and providers rotate throughout the day. TokenFlow keeps every stream attached to the same identity.
TokenFlow syncs time-bucketed tokens, estimated cost, model, agent, provider, and device labels. Prompts, responses, files, API keys, and local content stay off the upload path.