Integrate RuView through shell commands, an HTTP API, or WebAssembly builds, which run compiled code in browsers and supported edge devices. Covers survivor scan commands, result exports, API hosting, and browser or ESP32 deployment paths.
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Use the RuView `wifi-densepose` CLI binary (incl. MAT scan/status/zones/survivors/alerts/export subcommands), the REST API (`wifi-densepose-api`, Axum), and the browser/WASM build (`wifi-densepose-wasm`, `wifi-densepose-wasm-edge`). Use when integrating RuView into another program, scripting it from the shell, exposing it over HTTP, or shipping it to the browser / ESP32-WASM3.
安装前可以查看交给 AI 代理的指令内容。
The programmatic surfaces of RuView — the wifi-densepose binary, the HTTP API, and the WebAssembly builds.
wifi-densepose CLI binary (wifi-densepose-cli)cd v2
cargo run -p wifi-densepose-cli -- --help # or: cargo build -p wifi-densepose-cli --release → target/release/wifi-densepose
cargo run -p wifi-densepose-cli -- version
Top-level subcommands: version, and mat (Mass Casualty Assessment Tool).
wifi-densepose mat … — disaster survivor detection| Subcommand | Purpose | Key flags |
|---|---|---|
mat scan [zone] | Start scanning for survivors | --disaster-type <…>, --sensitivity 0.0–1.0, --max-depth <m>, --continuous, --interval <ms>, --simulate |
mat status | Current scan status | --detailed, --format <…>, --watch |
mat zones … | Manage scan zones | zones list [--active-only], plus add/remove/update |
mat survivors | List detected survivors with triage status | |
mat alerts | View / manage alerts | |
mat export | Export scan data | JSON or CSV |
Example:
cargo run -p wifi-densepose-cli -- mat scan rubble-A --disaster-type earthquake --sensitivity 0.7 --max-depth 5 --continuous --interval 2000
cargo run -p wifi-densepose-cli -- mat survivors --format json
cargo run -p wifi-densepose-cli -- mat export --format csv > survivors.csv
Use --simulate for testing without hardware. Background and user guide: docs/wifi-mat-user-guide.md, wifi-densepose-mat crate.
wifi-densepose-api, Axum)Library crate (v2/crates/wifi-densepose-api/src/lib.rs) — the Axum router/handlers; configured via the wifi-densepose-config crate. It's wired into the server binaries (e.g. the sensing server / Docker image), not a standalone cargo run target by itself.
# Easiest way to exercise it: the Docker image exposes the API + dashboard on :3000
docker run -p 3000:3000 ruvnet/wifi-densepose:latest
# Then hit the HTTP endpoints (see the API module / docs for routes) and open http://localhost:3000
# v1 Python service config reference: example.env, pyproject.toml (archive/v1/)
When embedding the API crate in your own binary, take the router from wifi_densepose_api, supply config via wifi-densepose-config, and serve with Axum/Tokio. Keep input validation at the boundary (project rule).
wifi-densepose-wasm — compiles the stack to wasm32-unknown-unknown with a JS-friendly API:
cd v2/crates/wifi-densepose-wasm
wasm-pack build --target web --features mat # recommended (produces pkg/)
cargo build --target wasm32-unknown-unknown --features mat # plain cargo build
v2/crates/wifi-densepose-wasm/README.md for the exported surface.wifi-densepose-wasm-edge — 60 edge modules (609 tests) that compile to wasm32-unknown-unknown and run on ESP32-S3 via WASM3; shared utils in src/vendor_common.rs. These are the ADR-041 edge-intelligence modules in WASM form.| You want to… | Use |
|---|---|
| Script a survivor scan / export results | wifi-densepose mat … |
| Expose sensing over HTTP | wifi-densepose-api (via a server binary / Docker) |
| Run sensing in a browser | wifi-densepose-wasm → wasm-pack build --target web |
| Run an edge module on an ESP32 in WASM | wifi-densepose-wasm-edge + WASM3 |
| A long-running CSI sink + training | wifi-densepose-sensing-server (see ruview-applications / ruview-model-training) |
wifi-densepose-cli, wifi-densepose-api, wifi-densepose-config, wifi-densepose-wasm, wifi-densepose-wasm-edge, wifi-densepose-matdocs/wifi-mat-user-guide.md, docs/edge-modules/, docs/security-audit-wasm-edge-vendor.mdcd v2 && cargo test -p wifi-densepose-cli -p wifi-densepose-api -p wifi-densepose-wasm --no-default-features还没有评价。欢迎分享你的使用感受。
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Build advanced AgentDB workflows with database synchronization, multiple databases, and search that combines meaning with attribute filters. Covers similarity measures, diverse search results, and operational patterns for distributed AI applications.
中文简介正在准备中。当前显示英语简介。
Create AgentDB learning plugins that use recorded experience to improve agent decisions. Choose a learning method, store states, actions, and rewards, train models, and evaluate suggested actions through CLI and API workflows.
中文简介正在准备中。当前显示英语简介。
Build AI agents that retain conversation history, user preferences, and useful interaction patterns with AgentDB. The skill covers persistent storage, meaning memories survive between sessions, plus retrieval, context management, and ReasoningBank integration.
中文简介正在准备中。当前显示英语简介。
Tune AgentDB memory use and search speed through quantization, which stores vectors more compactly, search indexes, caching, and batch operations. Includes configuration examples and benchmarks to help balance accuracy, speed, and storage as datasets grow.
中文简介正在准备中。当前显示英语简介。
Build document search with AgentDB that finds related content by meaning. Store documents as numerical representations, combine similarity search with metadata filters, and retrieve relevant passages for systems that generate answers using source material.
中文简介正在准备中。当前显示英语简介。
Automate browser tasks with agent-browser, using snapshots that label page elements for the agent. Handle login flows, fill and submit forms, extract page information, and capture screenshots through a repeatable navigation and interaction workflow.
中文简介正在准备中。当前显示英语简介。