Files
fusion/packages/cli
gsxdsm b1bd571682 batch-sql-ratchet: the census / gate-ratchet family — collection branch, fold here (#2941)
## Family branch for consolidation directive item 4

`batch-sql-ratchet` did not exist and ~10 open PRs are waiting for a
collection point, so this establishes it. **Fold your census/ratchet
commit here and close your own PR as superseded.**

```bash
git fetch origin batch-sql-ratchet
git checkout -B batch-sql-ratchet origin/batch-sql-ratchet
git cherry-pick <your-sha>
# verify scoped, not full suite:
pnpm --filter @fusion/core exec vitest run src/__tests__/archived-column-gate-parity.test.ts --silent=passed-only --reporter=dot
git push origin HEAD:batch-sql-ratchet
```

**Candidates I can see open right now** (owners: please fold + close):

| PR | branch |
|---|---|
| #2938 | `fix/comments-ops-sentinel` |
| #2935 | `fix/task-artifacts-sentinels` |
| #2933 | `chore/commit-tightened-census-baseline` |
| #2931 | `fix/async-comments-sentinels` |
| #2928 | `fix/audit-ops-sentinel-marker` |
| #2925 | `live-task-column-lanes` |
| #2923 | `fix/task-id-integrity-sentinel` |
| #2921 | `fix/plugin-store-migration-marker` |
| #2894 | `gate/sql-literals-match-census-placement` |

That is **10 → 1** once folded. I have not cherry-picked anyone else's
commits — folding someone's work without them verifying it is how a
batch lands broken.

---

## What is in it so far (mine, from #2924)

**Clears a live main red:** `archived-column-gate-parity` fails on
`origin/main` today.

```
AssertionError: TypeScript encoding changed.
  async-comments-attachments.ts: 8 → 5
```

#2886 fixed a real bug — archived-document guards failing in *opposite*
directions on a renamed lane — by replacing three `column ===
"archived"` comparisons with `isArchivedLane(column, archivedColumns)`.
The AST scan counts raw comparisons, so the tally dropped.

**What I did not do is record it as three sites converted**, because
measured, it is not:

```
grep -rn "archivedColumns:" packages/core/src packages/engine/src --include="*.ts" | grep -v __tests__
→ (no matches)
```

No caller passes it. The parameter defaults to `LEGACY_ARCHIVED_LANES =
new Set(["archived"])`, so every call resolves to the literal it
replaced — byte-identical behaviour, resolved branch dead.

That matters for this guard's whole argument: its header warns that
converting the TypeScript half while the Drizzle and raw-`sql` halves
still compare the string is a split brain *"no test would catch, because
every builtin workflow spells the column `archived` so the two halves
agree by accident on every board we ship."* **There is no split brain
today precisely because the resolved half is unwired** — it becomes one
the moment a caller threads real lanes in without the SQL sides moving.
Recorded inline so `5` cannot be read as "3 sites done"; flagged on
#2886.

Verified not a split brain: the Drizzle and raw-sql inventories are
unchanged and both pass — worth stating because those assertions run
*after* the TypeScript one, so a plain red says nothing about them.

Scoped edit to `AUDITED_TS_SITES` by line range: these paths appear in
more than one inventory here, and an unscoped replace would quietly edit
the raw-sql side too, making the parity guard agree with itself (the
trap I hit in #2817).

Guard still bites: appending a real `task.column === "archived"` to an
audited file fails it. Core **4852 passed / 0 failed**, lint clean,
test-only.

Closing #2924 as superseded by this.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **Bug Fixes**
* Improved task delegation messages when workflow pickup cannot be
confirmed.
* Delegation results now clearly indicate when a task has not been
verified for pickup.

* **Quality Improvements**
* Added validation checks to catch future-dated markers and inconsistent
SQL-column usage.
* Refined workflow checks to distinguish stale configuration from
incomplete configuration.

* **Documentation**
* Updated lifecycle conversion guidance with more accurate audit
findings and limitations.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-07-30 19:59:14 -07:00
..
2026-06-10 18:06:51 -07:00
2026-07-26 18:11:47 -07:00

Fusion

@runfusion/fusion

From rough idea to production code — automatically.

Multi-node agent orchestrator — tasks, agents, missions, git, files, and worktrees, with any model, local or cloud.

runfusion.ai → · GitHub · Docs


Fusion reel: from rough idea to production code

Install

Zero install, straight from npm:

npx runfusion.ai

Boots the dashboard. Subcommands forward through (npx runfusion.ai task list, etc). Long form: npx @runfusion/fusion dashboard.

One-line installer (macOS & Linux — auto-picks Homebrew, falls back to npm):

curl -fsSL https://runfusion.ai/install.sh | sh

Homebrew (macOS & Linux):

brew install runfusion/fusion/fusion

Fully-qualified install auto-taps and, on Homebrew 6.0+, trusts only this formula. If short-name install fails with “untrusted tap”, run brew trust --formula runfusion/fusion/fusion then brew install fusion.

npm global:

npm install -g @runfusion/fusion
fn dashboard              # or: fusion dashboard

Launch the dashboard

From a shell:

fn dashboard                 # or: fusion dashboard / npx @runfusion/fusion dashboard
fn dashboard --paused        # start with automation paused
fn dashboard --dev           # development-mode dashboard + AI engine
fn dashboard --no-engine     # web UI only, no AI engine

The dashboard gives you:

  • A live kanban board — tasks move through columns automatically as AI works on them
  • Task detail view — generated spec, step-by-step progress, reviewer verdicts, full execution log
  • Dependency-aware scheduling — declare task dependencies or let the engine infer them
  • Auto-merge — on by default; reviewed work squash-merges without you lifting a finger
  • Parallel execution — independent tasks run simultaneously in isolated git worktrees
  • Self-sustaining board — agents may spawn follow-up tasks; the board feeds itself

Your entire dev environment. On a single pane of glass.

Describe a task in plain language. A triage agent reads your project, understands context, and writes a full PROMPT.md spec — steps, file scope, acceptance criteria. Then Fusion plans, reviews, executes, and reviews again, in an isolated git worktree, with a human approval gate wherever you want one.

One board. Controlled from anywhere. Laptop, Mac mini, Linux server, cloud VM, phone — all connected.

Fusion mesh: laptop, Mac mini, Linux server, cloud VM, phone — all synced

Run an agent company

Import a team. Run it autonomously for weeks. 440+ agents across 16 companies, wired for missions, mailboxes, and inter-agent delegation.

npx companies.sh add paperclipai/companies/gstack
Fusion agent company: import a team, run it autonomously for weeks

How it works

You create a task with a rough description. A pipeline of specialized agents takes over.

Specification. A triage agent reads your codebase — file structure, existing patterns, related code — and turns your rough idea into a detailed spec. It breaks the work into discrete steps, identifies which files are in scope, writes acceptance criteria, and assigns a complexity rating that determines how aggressively the work gets reviewed.

Scheduling. Tasks declare dependencies on each other. The scheduler builds a dependency graph and starts work only when upstream tasks are done. Independent tasks run in parallel — each in its own isolated git worktree, so there are no conflicts during execution.

Execution & review. An executor agent works through the spec step by step in the worktree. At each step boundary, a separate reviewer agent, with read-only access, independently evaluates the work. The reviewer can approve (continue), request revisions (fix specific issues), or force a rethink (change the approach entirely). Review depth scales with the task's complexity rating: trivial tasks get light checks, complex tasks get thorough multi-pass review.

Merge. When execution finishes and the reviewer signs off, the task moves to In Review:

  • Direct merge (default) — automatically squash-merges the completed task branch into your current branch with a clean commit.
  • Pull request — automatically creates or links a GitHub PR, waits for reviews/checks, then merges once policy conditions are satisfied.

autoMerge controls whether Fusion performs completion automatically. If disabled, tasks stay in In Review until you finish the merge yourself. For PR-first mode, authenticate GitHub with gh auth login.

Tasks flow through: Triage → Todo → In Progress → In Review → Done.

This execution model is heavily based on Taskplane.


What makes it different

🧠 AI specification Rough idea in, detailed PROMPT.md out — steps, file scope, acceptance criteria.
🔁 Workflow gates Plan → Review → Execute → Review on every step. Block or pass automatically.
🌳 Worktree isolation Each task runs in its own branch and worktree. Parallel tasks. Zero conflicts.
⚡ Smart merge Passing every gate? Fusion squash-merges and moves on.
🛰️ Multi-node mesh Laptop, server, cloud, phone — all synced. Desktop, mobile, web.
🧩 Any model Anthropic, OpenAI, Ollama, and more.
🏢 Agent companies Import pre-built teams — 440+ agents across 16 companies.
📬 Inter-agent messaging Built-in mailbox between agents. Delegate, clarify, coordinate.
🗺️ Missions Hierarchical planning with autopilot and validation contracts.
🔓 Open source. MIT. No vendor lock-in. Run it on your own hardware.

Working from chat

Manage tasks without leaving the conversation:

"Every ten minutes, analyze the server code for logic the client hasn't implemented yet and create tasks. Tasks may spawn additional tasks, so just add enough to keep the board saturated."

"Create a Fusion task to fix the login redirect bug"

"Add a task for dark mode support, it depends on FN-003"

"What's the status of FN-042"

"Attach screenshot.png to FN-007"

"Pause FN-012 — I want to add more context first"

The Fusion extension exposes tools to create tasks, check progress, attach files, and pause or resume automation.


Standalone CLI

See STANDALONE.md for additional installation and usage options.

Optional provider: Factory AI via Droid CLI

@runfusion/fusion now ships a vendored @fusion/droid-cli extension in the published CLI bundle.

To use it:

  1. Install the droid binary and ensure it is on your PATH
  2. Authenticate with Droid CLI (droid auth login)
  3. In Fusion dashboard, go to Settings → Authentication and enable Factory AI — via Droid CLI
  4. Restart Fusion when prompted so the extension is loaded into the runtime

Once enabled, droid-cli models appear in Fusion model selection.

Maintainer note: workspace plugins in published CLI bundles

When CLI or dashboard runtime code imports workspace plugin packages (for example @fusion-plugin-examples/roadmap), those imports must stay statically analyzable and covered by packages/cli/tsup.config.ts noExternal rules so plugin runtime code is inlined into dist/bin.js.

Do not introduce dynamic or variable module specifiers for workspace plugin runtime paths in the published execution path. If a workspace plugin is needed for bundled auto-install, stage a bundled plugin entry (dist/plugins/<id>/bundled.js) rather than copying raw TypeScript source into dist/.

Full documentation

Architecture details, development setup, and contributor info live in the project README.

License

MIT — see LICENSE.