dimensionalOS / dimensionalOS/dimos
Agentic daily repeatable real-world task in the office
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.5k
- Forks
- 808
- Avg merge
- 3d 5h
- Merged PRs (30d)
- 233
Description
Daily repeatable real-world task in the office
Candidates:
Manages the watering of plants in the office
- discovers which plants exist and updates its memory as our plants change
- can check moisture levels of soil (either visually or through manipulator/moisture meter)
- is able to give the plant a measured amount of water
Clears a whiteboard
- every day at a set time it checks if the specified whiteboard is not in use
- if it is in use, it comes back N minutes later
- when the whiteboard is no longer in use, it finds the eraser
- it then clears the whiteboard with the eraser
- stretch goal: is the documentarian of all prior states of the whiteboard
Synced from DIM-1557 by henry
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No repository files, tests, or entry points are named; start by reviewing the existing agent framework and the synced DIM-1557 milestone. Done means delivering one selected office task end to end, including its sensing, decision-making, and physical action requirements, with the stated scheduling or memory behavior where applicable.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, robotics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100