volcengine / openviking
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.
Code health
volcengine/openviking scores 6.5 out of 10 on defect risk, which Repowise rates Good. 388 of 2,522 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 2.5k
- Symbols
- 32k
- Modules
- 142
- Doc pages
- 0
- Dead exports
- 289
Where the risk concentrates
All 388 hotspotsRanked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| viking_fs.pyopenviking/storage | 99.8th %ile | 38 | 33 | 60 |
| client.rscrates/ov_cli/src | 99.7th %ile | 25 | 20 | 53 |
| main.rscrates/ov_cli/src | 100.0th %ile |
Read more about volcengine/openviking
- OverviewFiles, symbols, languages, packages, git intelligence
- ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
- Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
- AI explanationsProModule-by-module documentation generated from source
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[](https://repowise.dev/repo/volcengine/openviking)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/volcengine/openviking)How volcengine/openviking works
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving. This page is an auto-generated, always-fresh map of the volcengine/openviking repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 2,522 source files, 31,763 symbols, and 13 languages, organised into 142 modules, led by python, cpp, markdown. Static analysis leaves 10,763 open findings across the three health dimensions.
Use the links above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.