dimensionalOS / dimensionalOS/dimos
Hosted data collection / storage
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.5k
- Forks
- 808
- Avg merge
- 3d 5h
- Merged PRs (30d)
- 233
Description
Dimenisonal and server-side infrastructure for hosted data collection for developers
Requirements
- Integrates with memory2 (current local storage system)
- Integrate with current replay system so i can can replay from a server
- Auto detection of US versus China servers
- Auto detection of network environment / dynamically propose most optimal upload options (every hour versus every day etc)
- Support for both realtime data collection storage and asynchronous data storage
- CLI tool for uploading
Use cases:
- Friend uploads his replay in one place, i can replay right after he uploads in another place, super great for sharing issues, bugs, etc with the dimensional
- Cloud storage for developers if their dataset is huge
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 existing memory2 local storage system and replay system mentioned in the issue to identify their integration points. The work is complete only when hosted realtime and asynchronous storage, replay sharing, server and network selection, upload scheduling, and a CLI upload tool are all defined and implemented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend, cli, cloud
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100