# pi-goals Make a short list of goals in one Markdown plan file. The main chat keeps the high-level context, supervises a worker in a visible Herdr pane, and checks whether each goal is complete. # User ask The hope is we can have a smart supervisor, with judgment and context. But it doesn't use many tokens as it checks in and sees an overview from a cheaper worker. The supervisor has a goal / plan that it agrees on with the user, and is reminded of it in a Ralph-loop-type repeat. It compacts every 150k or similar to avoid cost and context rot. It steers a smaller model, adding perspective and judgment. Since it's two panes, the user can review both, intervene in both and have visibility on sub-agent mis/communication. -- wassname (spelling and punctuation corrected by Pi/OpenAI) ## Screenshot Mock up: ```text +-----------------------------------------------------------+-----------------------------------------------------------+ | SUPERVISOR | WORKER | | | | | Review .pi/plan/...-main.md | Task 2 — verify command run, real output saved: | | > Ready Discuss Edit Cancel | - Exit code 0 (pass only) | | | - evidence/verified.log (112 bytes) | | [scheduled prompt: hourly check-in] | PASS: 9 bytes: verified + LF | | | | | The supervisor independently inspected both artifacts | Task 3 — plan evidence filled | | before sign-off. | | | | Completion report sent via Intercom to supervisor | | Schedule: job wS79fJFPbB removed; | 01a089c9. My pane remains open for the supervisor’s | | .pi/schedule-prompts.json shows 0 jobs. | independent inspection before sign-off. | | | | | ✓ verified.txt holds exactly the 9 bytes | ○ verified.txt holds exactly the 9 bytes | | verified + LF | verified + LF | | evidence/verified.log records a real byte check | evidence/verified.log records a real byte check | | | | | Agents · 1 running | [idle widget still shows its earlier snapshot] | | verified-bytes-worker [goals-worker] | | | | | | > | > | | astra · 50k tokens | terra · 200k tokens | +-----------------------------------------------------------+-----------------------------------------------------------+ ``` Real screenshot: 2026-09-10_15-30-pi-goals The plan file looks like this: ```md ## ### User-visible result ### Preferences - preferred worker model: ### User voice - │ "" ### Goals 1. [ ] goal: - subtle failure mode: - discriminator: - tasks: 1. [ ] - evidence: (empty until sign-off) ### Future work / out of scope ### Log ### Interview (optional) ### Learnings (optional) ### Papercuts - problems, gotchas, suggestions (optional) ``` ## Related work Like [pi-milestones](https://github.com/Neuron-Mr-White/UniPi/tree/main/packages/milestone) and [burneikis/pi-plan](https://github.com/burneikis/pi-plan), it guides rather than guards. The reminder cadence is copied from [tintinweb/pi-tasks](https://github.com/tintinweb/pi-tasks) and the resync-after-compaction from [tmonk/pi-goal-x](https://github.com/tmonk/pi-goal-x). ## Install Requires Herdr. Includes [edxeth/pi-subagents](https://github.com/edxeth/pi-subagents), pi-intercom and pi-schedule-prompt. Disable separately loaded copies to avoid duplicate commands. ```bash pi install git:github.com/wassname/pi-goals@experiment/main-supervisor-edxeth ``` Copy [`agents/goals-worker.md`](agents/goals-worker.md) into `~/.pi/agent/agents/`, then start a fresh Pi session. Or for development: ```bash git clone -b experiment/main-supervisor-edxeth https://github.com/wassname/pi-goals cd pi-goals && npm install pi -e ./src/index.ts ``` ## Use ``` /goals ``` `/goals` opens the action menu. New plan enters plan mode and starts a conversation; the objective is an optional seed. From there: 1. Plan. The agent explores read-only and drafts the plan. 2. Review. After Pi settles, the full plan is printed in the transcript. Check that User-visible result names the final artifact or behavior you expect. The menu offers Ready, Discuss, Edit, or Cancel. Discuss continues the conversation. Edit opens the full plan in Pi's editor. 3. Work. Ready is the only review action that starts work. It opens the worker in a Herdr pane. The worker ticks subtasks, appends to `## Log` and `## Learnings`, and fills `evidence:`. The supervisor inspects the actual results and calls `CompleteGoal` when a discriminator is satisfied. They communicate through pi-intercom. After eight turns without a change above `## Log`, the agent gets an upkeep reminder. The supervisor also sets an hourly check-in through pi-schedule-prompt. Other commands: `/goals stop` pauses work; `/goals resume` continues it; `/goals exit` leaves goal mode, preserving the plan. `/goals attach ` reconnects an existing plan. `/goals solo` lets the main chat do the work after confirming other workers stopped; completion is then self-verification. `/goals model ` picks the worker model. `/schedule-prompt` manages check-ins. Stop workers before reloading the supervisor: the subagent package can otherwise crash it when a worker later exits. The scheduler deletes disabled jobs on reload. Restart the saved Pi session and reattach the plan. ## Prompts You can read all the prompts in conversation order in [`src/prompts.ts`](src/prompts.ts). ## Develop ```bash pi -e ./src/index.ts # load locally; do not also load the installed copy npm test # all unit, flow, and Pi RPC tests npm run test:rpc # Pi RPC review flow with a local offline model npm run typecheck npm run lint ``` To measure recorded usage since the latest planning start: ```bash node scripts/session-usage.mjs ``` This separates output, uncached input and repeated cached input. It excludes subprocess API calls. [Isolated Herdr test setup](scripts/prepare-trial.mjs). ## License MIT Branch-specific edits: Pi/OpenAI.