43 lines
2.0 KiB
Markdown
43 lines
2.0 KiB
Markdown
# DS4Server
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DS4Server is a native macOS coding-agent application that rewrites the
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DwarfStar (`ds4`) inference engine in Rust. It uses Rust and Iced and will combine local model loading, an
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OpenAI-compatible localhost endpoint, and project-scoped agent chat in one app.
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The current milestone provides a Codex-inspired project/session layout. A native
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macOS folder picker selects each workspace, then the app asks for its display
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name. Projects, sessions, and model preferences are persisted through Diesel in
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SQLite. Open Preferences with `Command-,` to configure model, generation,
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runtime, and idle-unload settings. The separate Model Manager
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(`Shift-Command-M`)
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lists local main and DSpark artifacts, their on-disk sizes and state, and lets
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you download, resume, validate, or delete them. Rust-native background work
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shows live byte progress, speed, and ETA in Model Manager and the app status
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bar. Stopping or quitting keeps the partial file; the next Download/Resume
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action continues from that exact byte after relaunch. Exact size and SHA-256
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verification happen before an artifact becomes usable.
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The selected DeepSeek V4 Flash model can run directly from a project session.
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The model, KV/compressor state, 43-layer graph, sampling, and lifecycle are
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owned by Rust; a fixed snapshot of the Objective-C Metal boundary and unchanged
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Metal kernels is vendored and built inside this repository. Tokens stream into the chat UI, Stop cancels generation,
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follow-up turns replay their role history, and the model unloads after the idle
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timeout. The current graph supports 2K context while the sparse long-context
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indexer and persistent transcript/KV restore remain the next engine slice.
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```sh
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cargo install cargo-packager --locked --version 0.11.8
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make bundle
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open target/release/DS4Server.app
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```
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State is stored at:
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```text
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~/Library/Application Support/DS4Server.rfc1437.de/data.sqlite3
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```
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Deleting a project or session removes only DS4Server metadata. It never deletes
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the referenced project directory. See [PLAN.md](PLAN.md) for the implementation
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roadmap.
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