mirror of
https://github.com/ruvnet/RuVector.git
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b8bfec329b
Copy 6 agentic-robotics crates (core, rt, mcp, embedded, node, benchmarks) into ruvector/crates/ for deep integration review. These provide: - ROS3 pub/sub messaging with Zenoh middleware and CDR serialization - Dual-runtime real-time executor with priority scheduling - MCP 2025-11 server for AI tool exposure - NAPI-RS Node.js bindings - Criterion benchmark suite Create comprehensive research documentation in docs/research/agentic-robotics/: - README.md: SOTA integration analysis (889 lines) - crate-review.md: Crate-by-crate deep code review (967 lines) - architecture-synergy.md: Architecture compatibility analysis (555 lines) - integration-roadmap.md: 18-week phased implementation plan (769 lines) Key findings: 14/16 shared dependencies are version-compatible, both use rkyv 0.8 for zero-copy serialization, identical build profiles, and complementary (not overlapping) functionality. The combination creates a unique cognitive robotics platform with sub-millisecond sensor-to-decision latency, native vector search, GNN inference, and MCP tool exposure. https://claude.ai/code/session_01H1GkTK5z9ppVVQDQukjBsY
28 lines
684 B
TOML
28 lines
684 B
TOML
[package]
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name = "agentic-robotics-node"
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version.workspace = true
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edition.workspace = true
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authors.workspace = true
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license.workspace = true
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repository.workspace = true
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homepage.workspace = true
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documentation.workspace = true
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description.workspace = true
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keywords.workspace = true
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categories.workspace = true
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readme = "README.md"
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[lib]
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crate-type = ["cdylib"]
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[dependencies]
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agentic-robotics-core = { path = "../agentic-robotics-core", version = "0.1.2" }
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napi = { workspace = true }
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napi-derive = { workspace = true }
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tokio = { workspace = true }
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serde = { workspace = true }
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serde_json = { workspace = true }
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anyhow = { workspace = true }
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[build-dependencies]
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napi-build = "2.3"
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