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Leader defines agents inline.","maintainers":[{"name":"arhen","email":"itsme.arhen@gmail.com"}],"readme":"# @arhen/pi-core-subagent\n\n[![npm version](https://img.shields.io/npm/v/%40arhen%2Fpi-core-subagent?color=cb3837&logo=npm)](https://www.npmjs.com/package/@arhen/pi-core-subagent)\n[![CI](https://img.shields.io/github/actions/workflow/status/arhen/pi-core-subagent/ci.yml?branch=main&logo=github&label=CI)](https://github.com/arhen/pi-core-subagent/actions/workflows/ci.yml)\n[![license](https://img.shields.io/badge/license-MIT-blue.svg)](./LICENSE)\n[![pi extension](https://img.shields.io/badge/pi-extension-7c3aed)](https://github.com/earendil-works/pi)\n\n## Install\n\nRequires the [pi coding agent](https://github.com/earendil-works/pi) — install it first: `npm install -g @earendil-works/pi-coding-agent`.\n\n```sh\npi install npm:@arhen/pi-core-subagent\n# or locally: pi install /path/to/pi-subagents\n```\n\nMinimalist pi extension: **fast in-process subagents** with single / parallel / graph modes, background runs, cancellation, intercom (child↔leader) and an agent↔agent mailbox.\n\nBuilt for one job: delegate work to isolated subagents **without bloating the parent context**.\n\nOne rule underneath everything else:\n\n> **A task is a graph, not a checklist.** Nodes are workers, edges are data dependencies. The edge both gates the dependent *and* hands it the upstream output — so \"the coordinator forgot to pass X\" stops being a failure mode. Where there are no edges, there is no graph: flat fan-out stays flat.\n\nThat is [Graph Protocol](#graph-protocol), applied to the runtime rather than to the prompt.\n\n```mermaid\nflowchart LR\n    subgraph w1[\"wave 1 — runs in parallel\"]\n        api[\"api<br/><i>api-mapper</i>\"]\n        db[\"db<br/><i>db-mapper</i>\"]\n    end\n    gate{{\"gate\"}}\n    subgraph w2[\"wave 2\"]\n        doc[\"doc<br/><i>writer</i>\"]\n    end\n    api -- \"route map\" --> gate\n    db -- \"schema map\" --> gate\n    gate -- \"both outputs<br/>prepended to the prompt\" --> doc\n```\n\n![Subagents widget](docs/subagents-widget.png)\n\n*The `subagent` tool call plus the live above-editor widget: per-agent activity, tool counts, turns, token counters and timers.*\n\n## Design principles\n\n- **The delegation is the graph.** `needs` declares edges; the scheduler runs each wave of ready tasks in parallel and gates the rest. One code path for single, parallel, chain and graph — `chain` is just `needs: [previous]`. ([why](#why-waves-instead-of-more-agents))\n- **Edges carry data, not just order.** An upstream task's output is prepended to its dependents' prompts automatically. The coordinator cannot forget to pass it, because it never passes it.\n- **A bad graph fails before it spawns.** Unknown ids, self-edges and cycles are rejected at call time — never halfway through a run with three children already burning tokens.\n- **Proof is an exit code, never a self-report.** Tasks are asked for a runnable `Verify:` command; the leader checks `git diff --stat`. Agents auditing their own work score ~0. ([why](#why-9-is-a-verification-command-not-a-self-report))\n- **No ceremony without edges.** Six independent reviewers stay six independent reviewers — no waves, no gates, no graph vocabulary imposed on flat work.\n- **Agent files respected.** A spawn goal (name + task) that matches a user agent file's `description` (`.agents/agents`, `.claude/agents`, `.pi/agents` — project then home) loads that file — body = system prompt, frontmatter `model`/`tools` apply, file `model` validated against the pi model registry. File wins over inline; no match → on-demand definition.\n- **Two toolsets, plus explicit override.** Read-only (`read, grep, find, ls` — default) or write (`read, grep, find, ls, bash, edit, write` — `write: true`); `tools:` sets an explicit per-task allowlist.\n- **In-process** — children are `AgentSession`s in the same runtime. No process spawn, no context bleed.\n- **Zero parent-context injection.** No catalog, no context hook. 7 slim tools total.\n- **Throttled updates** — widget/stream updates coalesce to ~6/s; no per-event deep clones.\n- **Bounded always** — a child is limited only by wall clock: explicit `maxRuntimeMs`, else the 1 h ceiling with `/subagents auto-limit on`, else the 6 h safety ceiling (default).\n\n## How it runs\n\nChildren are not subprocesses. They are separate `AgentSession`s inside the same pi process — which is why spawning is instant, and why a child's transcript never lands in your context:\n\n```mermaid\nflowchart TB\n    subgraph proc[\"one OS process — no spawn, no IPC\"]\n        direction TB\n        L[\"<b>leader</b><br/>your session, your context\"]\n        subgraph kids[\"isolated child sessions\"]\n            direction LR\n            A[\"api-mapper\"]\n            B[\"db-mapper\"]\n        end\n    end\n    L -- \"task text in\" --> A\n    L -- \"task text in\" --> B\n    A -. \"final answer only\" .-> L\n    B -. \"final answer only\" .-> L\n```\n\nThe dotted arrows are the whole point: a child may burn 200k tokens reading files, and the leader receives only its final answer.\n\n## Usage — the leader invents the agents\n\nDefine agents inline per call, or reference a named agent file (see [Agent files](#agent-files)). Model resolution: explicit `model` → agent-file `model` (validated against the pi model registry) → the parent's current model → settings default.\n\n```json\n{\n  \"agent\": \"api-reviewer\",\n  \"prompt\": \"You are a strict API reviewer. Check auth, rate limiting, and error handling. Cite file:line.\",\n  \"task\": \"Review src/api/upload.ts\"\n}\n```\n\nParallel — mixed toolsets, siblings can talk via mailbox (intercom is always on):\n\n```json\n{\n  \"tasks\": [\n    { \"agent\": \"researcher\", \"prompt\": \"You find facts. Cite paths.\", \"task\": \"Map the auth flow\", \"write\": false },\n    { \"agent\": \"implementer\", \"prompt\": \"You make minimal changes.\", \"task\": \"Implement POST /api/upload\", \"write\": true }\n  ]\n}\n```\n\nChain — `{previous}` is replaced with the prior agent's output:\n\n```json\n{\n  \"chain\": [\n    { \"agent\": \"planner\", \"prompt\": \"You write a step list.\", \"task\": \"Plan the change\", \"write\": false },\n    { \"agent\": \"doer\", \"prompt\": \"You follow the plan exactly.\", \"task\": \"Execute: {previous}\", \"write\": true }\n  ]\n}\n```\n\n## Agent files\n\nA user agent file in an agents directory is matched by its `description` frontmatter against the spawn goal (`agent` name + `task`) — not by name. When matched, the file is **authoritative**: body = system prompt, frontmatter `model`/`tools` apply, inline `prompt`/`model` are ignored — with one exception: explicit per-call `tools`/`write` override the file's tools (the file narrows defaults, it never displaces explicit intent, and it can never widen past the leader's read/write choice). An override is surfaced on the task's notice and summary. No match → the inline on-demand definition stands. The model stays in control: it names the agent and states the goal; user files that describe that goal take over.\n\n```md\n---\nname: api-reviewer\ndescription: reviews APIs for auth, rate limiting, and error handling\nmodel: claude-opus-4-6\ntools: read, grep, find, ls\n---\nYou are a strict API reviewer. Check auth, rate limiting, and error handling. Cite file:line.\n```\n\n**Lookup order** (first directory with a match wins):\n\n1. `.agents/agents/` then `.claude/agents/` then `.pi/agents/` in each directory from the task `cwd` up to the filesystem root (nearest ancestor wins).\n2. Home: `~/.agents/agents/` (single source) → `~/.claude/agents/` → `~/.pi/agents/`.\n\nWithin a directory the file with the highest description-overlap score wins (≥2 shared meaningful tokens). A file `model` is validated against the pi model registry (unknown model fails the task with a catalog message). Files without a `description` frontmatter never match.\n\n## Worktree isolation (write agents)\n\nIn a git repo, a `write: true` subagent runs in an **isolated git worktree** at `<repo>/.git/subagents/<run>/<task>` on branch `subagents/<run>/<task>` — the child's cwd is the worktree, so project context (AGENTS.md chain) still loads, `node_modules` is symlinked, and the main tree stays clean while the child works. Parallel write agents can't collide on files.\n\nOn completion the extension commits the child's changes (the child is told not to touch branches) and reports **branch + diffstat + changed files** in the result. The leader reviews, then merges:\n\n```\ngit merge --no-ff subagents/<run>/<task>\n```\n\n**Branch relationships — read this before merging.** A write task that `needs` a completed write task is **stacked**: its worktree branches from the upstream's branch, so the child actually sees the files its upstream wrote. A stacked branch *contains* its upstream's commits, so merge order doesn't matter — merging the stacked branch brings both, and the upstream's own merge is then a no-op.\n\nWhy this matters (verified against real git, not just reasoned about): when a downstream child *can't* see its upstream's work, merging produces spurious conflicts, half-clobbered files where the child's side looks like a phantom delete, and — worst — **clean merges that leave a broken tree**. If the upstream renamed `login`→`signIn` and the downstream wrote new code importing `login`, git reports success with exit 0 and the code doesn't compile. Stacking removes that class by construction.\n\nSame-wave write tasks are **siblings**: both branch from the same base, so they are independent. When two siblings changed the same file the summary emits `CONFLICT RISK` naming the overlap — the second `git merge` is a real 3-way and fails loudly, which is the safe outcome. The dangerous case is siblings touching *different* but coupled files: that merges clean and breaks at runtime. Nothing can detect it for you.\n\n**Dependencies are shared, not isolated.** `node_modules` is symlinked to the main checkout, so dependency writes escape the worktree: children are instructed never to install, upgrade, or delete deps. A task that genuinely needs a dependency change should edit the manifest and say so.\n\nIsolation follows the toolset the child actually receives: explicit `tools: [\"bash\", \"edit\", \"write\"]` earns a worktree even without `write: true`, and an agent file that narrows the child to read-only gets no branch at all.\n\nCleanup, in order of trust:\n\n| When | What |\n|---|---|\n| Session start | Registered worktrees can't be live yet — an interrupted child's uncommitted work is committed, the branch kept, the dir dropped. Then merged branches are reaped and dirs git no longer tracks are removed. |\n| After a run | Merged branches + their dirs, never touching a branch a live run owns (checkout state re-checked per branch). |\n| Task failed/canceled | Partial work is committed first, so the branch keeps it; the dir is dropped. |\n\nNon-git repos fall back to in-place edits.\n\n## Graph mode — `needs`\n\n`parallel` runs everything at once; `chain` runs everything one at a time. Most real work is neither. Give a task an `id` and list the ids it `needs`:\n\n```json\n{\n  \"tasks\": [\n    { \"id\": \"api\", \"agent\": \"api-mapper\", \"task\": \"Map every route in src/api/\" },\n    { \"id\": \"db\",  \"agent\": \"db-mapper\",  \"task\": \"Map the schema in src/db/\" },\n    { \"id\": \"doc\", \"agent\": \"writer\", \"needs\": [\"api\", \"db\"], \"write\": true,\n      \"task\": \"Write ARCHITECTURE.md from the maps above. Verify: test -s ARCHITECTURE.md\" }\n  ]\n}\n```\n\nThe call line renders the graph in §2 notation as the model types it:\n\n```\nsubagent graph 3\n  6 at a time\n  wave1[api ∥ db] → gate → wave2[doc]\n  api api-mapper Map every route in src/api/\n  db  db-mapper Map the schema in src/db/\n  doc writer ✎ ← api, db Write ARCHITECTURE.md from the maps above. Verify: test -s ARCHI…\n```\n\n`✎` marks a write-toolset task; `←` lists its edges. With no `needs` anywhere the wave line is omitted entirely.\n\n### What one edge does\n\nAn edge is not just ordering. It is a delivery:\n\n```mermaid\nsequenceDiagram\n    participant S as scheduler\n    participant A as api\n    participant D as db\n    participant W as doc\n\n    Note over S,D: wave 1 — both start together\n    S->>A: \"Map every route in src/api/\"\n    S->>D: \"Map the schema in src/db/\"\n    A-->>S: route map\n    Note right of W: doc is queued,<br/>waiting at the gate\n    D-->>S: schema map\n    Note over S: gate opens: every need settled\n    S->>W: ## Output of api<br/>&lt;route map&gt;<br/><br/>## Output of db<br/>&lt;schema map&gt;<br/>---<br/>\"Write ARCHITECTURE.md…\"\n```\n\nThe leader never copies those outputs into the prompt — so it cannot forget to.\n\n### One scheduler, four shapes\n\nSingle, parallel, chain and graph are not four code paths. They are four shapes of the same wave loop:\n\n```mermaid\nflowchart LR\n    subgraph one[\"single\"]\n        direction TB\n        s1((\"a\"))\n    end\n    subgraph par[\"parallel — no needs\"]\n        direction TB\n        p1((\"a\")) ~~~ p2((\"b\")) ~~~ p3((\"c\"))\n    end\n    subgraph ch[\"chain — needs: [previous]\"]\n        direction TB\n        c1((\"a\")) --> c2((\"b\")) --> c3((\"c\"))\n    end\n    subgraph gr[\"graph — needs\"]\n        direction TB\n        g1((\"a\")) --> g2((\"b\"))\n        g1 --> g3((\"c\"))\n        g2 --> g4((\"d\"))\n        g3 --> g4\n    end\n```\n\n### The loop\n\n```mermaid\nflowchart TD\n    start([\"subagent call\"]) --> validate{\"graph valid?<br/><small>unknown id · self-edge · cycle</small>\"}\n    validate -- no --> reject[\"reject the call<br/><b>zero children spawned</b>\"]\n    validate -- yes --> loop{\"tasks left?\"}\n    loop -- no --> done([\"run finished\"])\n    loop -- yes --> ready[\"frontier =<br/>tasks whose needs are all settled\"]\n    ready --> spawn[\"run that wave in parallel<br/><small>throttled by concurrency</small>\"]\n    spawn --> collect[\"record each output<br/>mark tasks settled\"]\n    collect --> loop\n```\n\nTwo consequences worth stating plainly:\n\n- **A bad graph costs nothing.** Validation happens before the first spawn, never halfway through with three children already burning tokens.\n- **A broken upstream stops its branch.** If a need fails or is aborted, its dependents are marked aborted rather than run against a prompt with a hole in it:\n\n```mermaid\nflowchart LR\n    api[\"api ✓\"] --> doc\n    db[\"db ✗ failed\"] --> doc[\"doc ⏹ skipped<br/><small>never spawned</small>\"]\n```\n\nAnd the rule that keeps this from becoming ceremony: **zero `needs` anywhere = plain parallel.** No waves, no gates, no graph vocabulary imposed on flat work.\n\nBackground (default) + intercom — the run returns a runId immediately; you stay steerable while it works. Children can always ask you questions and message each other:\n\n```json\n{\n  \"agent\": \"auditor\",\n  \"prompt\": \"You audit dependencies.\",\n  \"task\": \"Audit package.json for outdated deps\"\n}\n```\n\n**Steering a running child:** while a background run is active the leader stays responsive, and you can push a message into a live child's session mid-run with `steer_subagent` — e.g. `steer_subagent({ runId, taskId, message: \"Ignore tests/, only audit runtime deps\" })`. The message queues as a steer if the child is mid-turn and lands at its next model boundary. Omit `taskId` to steer every still-running task in the run. Combined with `notifyPerTask`, this makes a background run feel like a live team you can redirect, not a fire-and-forget blob.\n\n**Resuming a failed child:** a child that dies mid-work (provider rate limit, timeout, network error) keeps its session JSONL and its worktree branch. `resume_subagent({ runId, taskId, model?: \"openai/gpt-5\", message? })` reopens that session with full context, re-attaches the branch, and prompts it to recap and continue — no respawn, no lost tokens. `model` swaps provider when the original one is exhausted. Refused for tasks that never started (no session file); those you respawn. Wait for the run to settle before resuming (the tool tells you if it hasn't).\n\n## Tools\n\n| Tool | Purpose |\n|---|---|\n| `subagent` | single / `tasks` (parallel or graph via `needs`) / `chain` (`{previous}`); every run is background — returns a runId, completion notifies you; `autoAwait:true` parks the call until the run finishes and returns the final result inline; children always carry talk tools (ask/notify/mailbox); `notifyPerTask` (default true) wakes you as each task completes |\n| `subagent_status` | live per-task snapshot (non-blocking), including each child's session file path |\n| `subagent_result` | full output of a run or one task |\n| `await_subagent` | block until a run finishes (optional `timeoutMs`) |\n| `reply_subagent` | answer a child's `ask_parent` question |\n| `steer_subagent` | inject a steering message into a running child's session (queues as steer if mid-turn; lands at its next model boundary) |\n| `resume_subagent` | revive a failed/aborted task in its original session (context + branch preserved); optional `model` swap and custom `message` |\n| `subagent_cancel` | abort a running/queued run |\n\n### Per-task fields\n\n`agent` (name you invent — required), `task` (required), `prompt` (system prompt, optional — minimal default used), `write` (toolset, default read-only), plus optional `model` (`provider/model-id`), `thinking` (validated enum: `off|minimal|low|medium|high|xhigh|max`), `tools` (explicit allowlist), `cwd`, `maxRuntimeMs`, `id`, `needs` (dependency edges — see [Graph mode](#graph-mode--needs)). Top-level only: `autoAwait`, `notifyPerTask`, `concurrency`.\n\n### Child talk tools (always on)\n\n| Tool | Meaning |\n|---|---|\n| `ask_parent` | blocking question to the leader; parent answers via `reply_subagent` |\n| `notify_parent` | one-way message to the leader |\n| `send_agent_message` | message to a sibling subagent's mailbox (`to` = its task id, or `\"leader\"`) |\n| `poll_agent_messages` | drain this subagent's mailbox |\n\n> **Intercom anti-deadlock:** children are told to never block indefinitely on intercom replies — an unanswered `ask_parent` times out after 10 minutes (the child is told to proceed with best judgment), and sibling polls are capped (~5 tries) with the same fallback. Gated siblings (later waves) may not be running yet — waiting on them is the top stall cause, so children are instructed not to.\n\n## Commands\n\n- `/subagents` — list runs; `/subagents peek` (or `ctrl+shift+a`) — browsable pane\n- `/subagents auto-limit on|off` — toggle leader-imposed `maxRuntimeMs` caps (persists to `~/.pi/agent/subagents-config.json`; default **off**). `on` gives tasks without an explicit `maxRuntimeMs` the 1 h default ceiling; `off` raises the ceiling to 6 h (still a ceiling — an unbounded child would pin the run forever). Bare `/subagents auto-limit` shows the current state.\n\n## Peek — `/subagents peek` or `ctrl+shift+a`\n\nRead-only pane over the session's subagents:\n\n- `shift+↑`/`shift+↓` (or `j`/`k`) — move between agents; bare arrows work too where the terminal doesn't reserve them\n- `enter` — live tail of that child's session file (`esc` goes back)\n- `x` then `y` — abort ONE subagent (only mutation; `n`/any other key cancels)\n- `esc` — close\n\n## Watching a child from outside\n\nA child has no terminal of its own — but it does write a real transcript file, and that file is the seam every external viewer can use:\n\n```mermaid\nflowchart LR\n    child[\"child session<br/><small>no TTY</small>\"] -- writes --> file[(\"session.jsonl\")]\n    file -- \"peek · enter\" --> pane[\"in-pi tail\"]\n    file -- \"tail -f\" --> term[\"any terminal pane<br/><small>herdr · tmux · zellij</small>\"]\n```\n\n`subagent_status` returns that path for every running child:\n\n```sh\ntail -f /path/from/subagent_status.jsonl\n```\n\nIn a terminal multiplexer, that is a pane per agent — e.g. with [Herdr](https://herdr.dev):\n\n```sh\nherdr pane split --current --direction right\nherdr pane run w1:p2 \"tail -f /path/from/subagent_status.jsonl\"\n```\n\nThe extension has no multiplexer integration and does not want one: it exposes the path, your agent already knows how to drive its own terminal. For an in-pi view of the same stream, use [`/subagents peek`](#peek--subagents-peek-or-ctrlshifta).\n\n## Context budget\n\n- Parent tools: 7 schemas with short descriptions. **No catalog, no context hook** — nothing injected per request.\n- Background completion: 3-line notice. Full text only via `subagent_result`.\n- Children: isolated sessions; talk tools always injected; each child's prompt states its own task id and its siblings' so mailbox addressing works. Model resolution: explicit `provider/model-id` or bare id via the pi model registry → the parent's current model → settings default. Thinking levels validated against the resolved model's `thinkingLevelMap`.\n\n## What this is built on\n\n### Graph Protocol\n<a id=\"graph-protocol\"></a>\n\n`needs` is an implementation of [Graph Protocol](https://gist.github.com/r17x/90eb2f7be93932b5693753aedb09c01a) — a delegation discipline that treats a task as a graph (`Delegation<A, E, R>`) rather than a checklist. Its ten sections map onto this extension as follows:\n\n| § | Protocol | Here |\n|---|---|---|\n| §1 | nodes, domains, edges | one `agent` owns one task; `needs` are the edges |\n| §2 | happy path as execution graph, waves + gates | wave scheduler: `ready = tasks whose needs are settled` |\n| §3 | one worker or many | `single` vs `tasks` |\n| §4 | break points: wrong context, **missing input**, misinterpretation | missing input is structurally impossible — the edge carries the output |\n| §5 | R: subgraph, method, **verification command**, WHY | prompt guidelines require a runnable `Verify:` line per task |\n| §6 | structured at the boundary | in: upstream outputs prepended as named blocks. out: prose (see below) |\n| §7 | observe without changing the graph | the widget and `/subagents peek` are read-only |\n| §8 | worker attention acquired and released | spawn → terminal status; aborted upstream releases dependents immediately |\n| §9 | prove it: delegated vs implemented | **deliberately not self-reported** — see below |\n| §10 | prompt = subgraph, return = implemented graph | prompt yes; return kept as prose |\n\n### Why §9 is a verification command, not a self-report\n\nThe protocol asks the coordinator to compare the delegated subgraph against the graph the worker says it implemented. We implement the comparison against **the filesystem and the exit code**, not against the worker's account of itself, because self-reports carry close to zero signal about exactly the failure §9 exists to catch:\n\n- Asked to audit its own work against 34 real violations, an agent reported **0** — at 90–100 confidence. A *fresh* instance of the same model shown the same output caught 7 (p = 0.0156). A deterministic checker caught all 34. ([Armalo Labs, 2026](https://www.armalo.ai/labs/research/2026-06-11-zero-bit-self-audit))\n- Across 9,876 τ2-bench and 1,879 AppWorld trajectories, \"false success\" reached **75.8%** of self-assessing coding-agent failures; adding an LLM judge scored **0.54–0.65 AUROC** (0.5 = coin flip). ([arXiv:2606.09863](https://doi.org/10.48550/arxiv.2606.09863))\n- LLM judges reading agent traces can be flipped by rewriting the trace — the exact surface a self-reported graph exposes. ([arXiv:2601.14691](https://arxiv.org/html/2601.14691))\n\nThe shape of the problem:\n\n```mermaid\nflowchart TD\n    W[\"worker finishes\"] --> Q{\"who says it's correct?\"}\n    Q -- \"the worker itself\" --> S[\"self-report<br/><b>0 of 34 caught</b><br/><small>at 90–100 confidence</small>\"]\n    Q -- \"another model reading the trace\" --> J[\"LLM judge<br/><b>0.54–0.65 AUROC</b><br/><small>0.5 = coin flip</small>\"]\n    Q -- \"the machine\" --> D[\"exit code + git diff<br/><b>34 of 34 caught</b>\"]\n```\n\nSo §9 in practice is two things you already have:\n\n```sh\n# in the task text — the worker must prove it, not claim it\nVerify: npx tsc --noEmit && bun test\n\n# in the leader, after the run — ground truth, not narrative\ngit diff --stat\n```\n\nIf files outside a worker's subgraph were touched, the diff says so. A structured return schema would only add a second, less trustworthy witness.\n\n### Why waves instead of \"more agents\"\n\nFlat fan-out is not free — orchestration cost is `critical path + α × cross-agent communication`, and ignoring the second term is what makes added agents *lose* to a single one:\n\n- Dependency-graph partitioning vs flat file-parallel spawning across 28 real repos: **+14.0% pass rate, 2.10× wall-clock, −35% API cost**, with the largest gains on the most dependency-dense projects. Flat parallel inflated cost 60% for a 1.56× speedup; an agent-team baseline was fastest but scored *below sequential* on code quality. ([arXiv:2606.00953](https://arxiv.org/html/2606.00953v1))\n- Dynamic task graphs across 300 trials: 47.5% of baseline token cost, 79.7% accuracy vs 57.6% for a static graph — and, notably, **static tied dynamic when the structure was genuinely known up front**, which is the case `needs` targets. The \"frontier\" (ready set) in this scheduler is theirs. ([arXiv:2605.06320](https://arxiv.org/html/2605.06320))\n\nThe corollary is in the design principles: when there are no edges, don't draw a graph. Six independent reviewers stay six independent reviewers.\n\n## Development\n\n```sh\nbun install        # dev deps (typecheck/test only; runtime uses pi's bundled SDK)\nnpx tsc --noEmit\nbun test           # pure-logic tests (wave scheduling, edge payload, mailbox, failure classification, watchdog)\n```\n\nRuntime state: runs persist to `<parent-session>.subagents.json` sidecar; restored (non-terminal → aborted) on session start.\n\n## License\n\nMIT.\n","readmeFilename":"README.md"}