dimensionalOS / dimensionalOS/dimos
Run the autoresearch with multi step enabled, aiming for lightweight, generic, generalizable agent encode method
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- Dominant language
- Python
- Stars
- 4.5k
- Forks
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- Avg merge
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- Merged PRs (30d)
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Description
Synced from DIM-1528 by stash
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
Start by reviewing the linked Linear issue DIM-1528, then determine where the autoresearch workflow is run and how multi-step mode is enabled. The issue does not name files, tests, or an entry point; completion would require producing a lightweight, generic, generalizable agent encoding method and validating it through the autoresearch.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100