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Spatial cognitive workspace for composing data, AI personas, notes, and analytical blocks on a typed canvas.

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Logo: five layered white strokes sweeping like a wing, on black

Flyspace

A canvas over live data. Drop blocks that pull real numbers - prediction markets, economic series, crypto, news, research - and wire them together.

This repo is what runs at https://omni.syberlabs.io, a keyless public preview. Personas appear on the canvas, but AI answers are off: the code that called a model, and every other server backend the preview could not reach, was deleted on 2026-11-02 (last present at commit 8a21350).

Run

npm install
npm run dev

Open http://localhost:3000. No keys are needed: every built-in data source is public (Polymarket, CoinGecko, Hacker News, World Bank, OpenAlex, and others).

The idea

A block is a live view of one source. A wire says this feeds that.

Shells are saved canvases. The Shell Store spawns pre-wired ones; the Investor shell arrives with its blocks and wires already connected.

Capability compiler

An unknown API can be compiled into a native block instead of hand-written. The compiler in src/core/capabilities/ turns an OpenAPI document into a CapabilityManifest. installProposal is the only gate that registers one. Write and destructive capabilities stay pending until approveCapability, and a manifest never grants itself authority. Execution has idempotency keys and reports EFFECT_UNCERTAIN when a write may have left the process. See src/core/capabilities/DESIGN.md. Claim ceiling: this is tested against fixtures and stubbed transports; no third-party API has been measured in production use.

Spoken canvas control

Hold Talk or Space and say a command from a fixed grammar ("wire hacker news to the analyst", "delete this", "undo"). Speech and pointer input only propose commands; the interaction engine (src/core/interaction/) decides. It refuses unknown or ambiguous names, previews a delete until you confirm, and supports undo. Claim ceiling: tested with typed-in transcripts; there is no live microphone measurement of recognition accuracy or latency.

Development

npm run typecheck   # tsc, 0 errors
npm run lint        # eslint, 0 errors (warnings are tracked debt)
npm test            # vitest
npm run build       # the Workers bundle that deploys (vinext); dist/
npm run scan:bundle # no secret reached dist/client (build first)
npm run build:next  # the Next server the e2e harness drives
npm run test:e2e    # playwright golden path (needs npm run build:next first)

Node version comes from .nvmrc, which CI reads too, so local and CI cannot drift apart.

CI runs three jobs on every push and pull request:

Job What it proves
Typecheck, Test & Build the five checks above, including the Playwright golden path
Client bundle carries no secrets builds with a canary value per secret env var, fails if one reaches dist/client
Dependency audit production deps block on high; dev-only advisories are advisory

npm run scan:bundle is the interesting one - it is the check that used to be a grep someone had to remember. See DEPLOYMENT.md.

Not in this repo

  • The agent surface - keyless local browser automation, /surface and /api/agent - moved to SyberLabs/omni-agent on 2026-09-01. It shared no module with the canvas.
  • Model answers, the inference ledger, the capability broker, OAuth sign-in, remote speech - deleted on 2026-11-02 because no deployment reaches them. See APEX_PLAN.md §7. To bring one back, start from 8a21350.
  • The Garden and the life OS - /garden, life-system domains, stability and equilibrium modelling - deleted on 2026-09-01. It was a second product in the same repo, ~15k lines whose value was gated on history that was never built. See APEX_PLAN.md §5.

Docs

APEX_PLAN.md is the live roadmap. vision.md is the north star. TYPED_PORT_SYSTEM.md covers the port layer (declared ports are enforced when a wire is created; blocks without ports stay untyped). AGENTS.md holds the rules for agents working in this repo. DEPLOYMENT.md records how the preview ships and what CI guarantees.

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Spatial cognitive workspace for composing data, AI personas, notes, and analytical blocks on a typed canvas.

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