Plan with the whole story. So do your agents.
Upcontext is the context layer between your team and its coding agents. It holds everything your project knows, from planning to execution. Plan and refine with it, hand work to any agent with the context it needs, and check the result against what you asked for.
One project is always free · works with Claude Code and Codex todayThe arm that reaches. Of everything your team and its agents have done, it finds what the next task needs, and holds on to it.
One task, start to finish.
You refine and plan it with the assistant. An agent picks it up and works from the same context, its session becomes cards your team can read, and you verify the result. The next task starts from there.
Say what you want in a sentence. The assistant reads what the project already knows and asks only what's still open.
Every task leaves context. The next one starts with it.
On their own, coding agents start every task from zero. Upcontext keeps one context across the whole loop, from the first plan to the final check, so every turn leaves the next one better informed.
- 01Refine
The assistant drafts the requirement and its criteria from what the project already knows, and asks about anything still open.
- 02Plan
Refined work waits in the Backlog. You pull it to the Active board, in your order and your stages.
- 03Delegate
Hand it to any connected agent. It gets the requirement, the criteria and the linked context.
- 04Execute
The agent works from that context. Each checkpoint comes back as a card: what was done, decided, changed and left open.
- 05Verify
You judge each acceptance criterion against the agent's own cards. Nothing is graded for you.
- 06Reuse
Cards and final summaries feed the next requirement, for everyone on the project.
Hand it to any agent. The context goes with it.
An agent picks up a task with what it needs to get it right: the requirement, the acceptance criteria, and the context that matters from earlier work. It builds from the whole story, not a blank prompt. Upcontext doesn't launch agents; yours pick the task up when they're ready.
Save cart for later · Backend · Acme Checkout Intent Shoppers finish a purchase later, on any device. Criteria 1 The cart is saved on the server. 2 A signed-in shopper's cart is kept for 30 days. 3 The cart shows up on any device after sign-in. Context c-4a1e-2 Guest carts expire after 7 days req Guest checkout When done complete_task, with a factual status note.
Upcontext knows why. Botlake does the work.
Together they make an autonomous agent factory, with people in charge. You plan and refine what you want; Botlake, coming next, runs your coding agents on your own machines until a reviewed pull request is ready to release. Upcontext carries the context, so people only step in where it matters: risky commands, and what counts as done.
The requirement, with its context, waits at the top of the board.
Botlake picks it up and runs the agent you chose, in a clean copy of your code.
You check the result against the agent's own record.
What it learned is there for the next task.
Agents fail for lack of context, not intelligence.
Organizational context: giving AI agents a working map of the company. What to build, and what to measure.
Give your agents the whole story.
Your first project is free, and it stays free. Start with your next requirement, connect Claude Code or Codex, and from then on every step leaves a record you can plan from.