╭──────────────────────────────────────╮
│ ╔╗ ╔═╗╦═╗╔═╗╦ ╔═╗╔═╗╔═╗ │
│ ╠╩╗╠═╣╠╦╝╠╣ ║ ║ ║║ ║╠═╝ │
│ ╚═╝╩ ╩╩╚═╚═╝╩═╝╚═╝╚═╝╩ │
│ run ──→ verdict ──→ inherit │
│ ↑ │ │
│ └─────────────────────┘ │
╰──╮───────────────────────────────────╯
╰── workflows that earn their own design
"Automate this job — I don't know the best workflow." For tasks that are repeated, long, and verifiable: an agent authors the workflow scaffolding (a constrained, validated config — never freeform code); runs execute under an un-gameable outer gate; and the scaffolding improves across runs through verdict-gated, run-as-executed inheritance with ledger-counted attribution.
The pitch in one line: workflows that earn their own design, with receipts — every inherited rule carries the green that minted it and the contrast that attributed it.
Status: pre-code. The name is reserved, the PRD is locked, and the build ladder is in flight (roadmap below). The first usable release is the headless loop.
npm install bareloopGive your AI assistant the integration guide
Read bareloop.context.md from node_modules/bareloop/bareloop.context.md
That single file is the complete adopter contract — the boundary, the architecture, the
refusals, the constraints — and it grows API sections as rungs land. (Suite-wide pattern:
every bare package ships its *.context.md.)
Three layers; nothing inside negotiates with the layer above it.
| Layer | What it is | Emergent? |
|---|---|---|
| Outer shell | Per-run budget cap (bareguard), retry cap, verdict collection, escalation routing. Stateless across runs | never — permanent, dumb, un-gameable |
| Emergent middle | The authored workflow config: steps, per-step verdict class, memory binding, write scopes — schema-validated, config-red before tokens burn | yes — authored and improved by the agent |
| Floor | Append-only JSONL spine (single source for every UI), litectx store per job, per-run ledger | never — the record |
Every checkpoint in a workflow carries its own verdict class, and the class decides what the run's learning is worth:
| Verdict | Truth source | Mints inheritance? |
|---|---|---|
| Hard green | predicate / exit-code (tests, build, lint) | automatically |
| Soft green | rubric / assessment | only with HITL confirm or N consistent repeats |
| HITL green | a human is the close (PR merge, "publish") | yes — and merge stays human, forever |
The full bare-suite surface is disclosed to the authoring agent; only admitted verbs are callable per job. A request against a locked primitive is a structured red — real diagnostic signal, and the admission path when it's justified.
bareloop is the productization of adaptlearn (archived at v0.11.1) — a closed experimental record, findings F1–F20. What it settled, bareloop consumes without re-proving:
| Mechanism | Evidence |
|---|---|
| Agents author valid harness configs at hand-written parity | M4 (F10) |
| Mid-run revision recovers stuck runs | M5 (F11: 3/3 vs 1/3) |
| Verdict-gated inheritance beats ungated on pass/fail | F19: gated late 1.00 vs ungated 0.13 |
| Run-as-executed inheritance transmits in-run learning | F20: 6/6 lineages, ~½ cost |
| Which-knob attribution is countable from the ledger | V2: contrast bit 16/16 gens |
| Where memory pays: regularities outside the worker's prior | F17/F18: ~8× under acquisition cost |
Full PRD with design laws and open questions: docs/01-product/PRD.md.
Each rung POCs its riskiest assumption; a rung that cannot meet its exit stops the ladder, and the stop is a result.
| Rung | What lands |
|---|---|
| N0 | Port + outer shell + spine (token-free) |
| N1 | Job/close schema + validator |
| N2 | Single-job headless loop — job #1 minimal (review→fix→PR, hard greens only) |
| N3 | Executed inheritance + contrast-bit extractor — kill-switch: rules must transmit across non-identical runs |
| N4 | Verdict classes complete (soft/HITL minting) |
| N5 | Scheduler + budget ops |
| N6 | The panel (spec: left chat + command bar, right progress over results, context-graph reserved) |
Local-first, composable agent infrastructure. Same API patterns throughout — mix and match, each module works standalone. bareloop is the suite's flagship consumer: it exercises every package and gaps get fixed upstream, never shimmed.
Core — the brain, the gate, the memory.
- bareagent — the think→act→observe loop. Goal in → coordinated actions out. Replaces LangChain, CrewAI, AutoGen.
- bareguard — the single gate every action passes through. Action in → allow / deny / ask-a-human out. Replaces hand-rolled allowlists and scattered policy code.
- litectx — tree-sitter code + memory graph with activation decay, plus lightweight context engineering (write · select · compress · isolate). Query in → ranked context out.
Optional reach — give the agent hands.
- barebrowse — a real browser for agents. URL in → pruned snapshot out. Replaces Playwright, Selenium, Puppeteer.
- baremobile — Android + iOS device control. Screen in → pruned snapshot out. Replaces Appium, Espresso, XCUITest.
- beeperbox — 50+ messaging networks via one MCP server. Chat in → unified message stream out. Replaces Twilio, per-platform bot APIs.
Why this exists: most automation stacks make you design the workflow before you know what works. bareloop's bet — proven in adaptlearn — is that for repeated, verifiable jobs, selection under an honest gate designs a better workflow than you would, and shows its receipts.