DreamGraph v14.0.2 - Ashoka

Current project state: Established behavior and maintainer field confirmations, including permanent Architect operational tabs, the configuration redesign, working Codex CLI Computer Use and successful graph upgrade on all seven tested instances.

Current patch: v14.0.2 release notes introduce DreamGraph’s own browser backend for Codex CLI and native API routes, Windows Save/Open dialog handling, clearer task reporting and context-cost fixes. Follow the browser extension installation and connection guide. Install and graph migration remain separate operations.

Ashoka's legacy migration procedure provides a reviewed preview, backup, cutover and recovery path. Installing v14 does not migrate a graph automatically. The sealed system gate records 2,040 passing root tests, 546 compiled editor tests and eleven Windows browser checks. Subsequent maintainer field confirmation records successful upgrades on all seven tested instances.

The current Computer Use contract uses the connected DreamGraph browser backend for Codex CLI and native API execution, with Codex CUA as an available fallback. Browser access requires an explicit permission policy. Native Windows Save/Open dialogs are supported; Linux/macOS dialogs require operator action. Historical Windows and accepted WSL installer/browser evidence remains scoped to the runtimes it tested.

Ashoka native-host spend admission joins editor/SDK API and CLI transport to the durable ledger without transferring provider credentials. Generated core contracts separate possible-dispatch permits, trusted host reports and read-only recovery.

The matched answer collector previews exact context/model/retention/tariff disclosures before an operator-approved native API run. Both answers share one job/spend allocation; partial answers survive failure and remain unscored. The public GPT-4.1 pilot records quality failures and does not establish improved understanding or cost savings.

Ashoka's canonical analytics separates current proof, coverage, currency and workload across thirteen Python modules and the daemon. Narrative/lucid interaction preserves historical outcomes, derived ancestry and explicit human contributions through cancellation/recovery.

Ashoka strategy alignment uses one executable catalogue for eleven active dream strategies, exact combined budgets and explicit focus. Reflective is retired explicitly; model hypotheses remain speculative. Implementation modules: src/cognitive/strategy-catalog.ts and src/cognitive/strategy-registry.ts.

Typed plan authority keeps current ownership, running leases, dependency eligibility and reviewed verification in one core reducer and publication journal.

Website: dreamgraph.nofs.ai — overview, guide, downloads, and screenshots in a friendlier format than this README.