Dimensional is the agentic operating system for physical space. Command humanoids, quadrupeds, drones, and other hardware platforms in natural language and build multi-agent systems that work seamlessly with physical input (cameras, lidar, actuators).
The week focused on hardware integration and simulation fidelity. Head camera synchronization and direct V4L2 input landed for r1pro, alongside a planner-based navigation skill and relocalization support. On the simulator side, MuJoCo startup performance was improved, orphaned buffer handling fixed,…
Get this in your inbox every Monday →A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in dimos's README, structure, and recent commits — answers won't invent code they haven't seen.
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feat(web): add WebRTC video signaling to the protocol and the relay (#4264)
perf(perception): CLIP embeddings without transformers or torch (#4286)
perf: overlap model loads and heavy imports with the blueprint deploy (#4285)
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.
