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.
github.com/volcengine/openvikingIndexed at 66622aaUp to date with upstream
About this codebase
2,522 files and 31,763 symbols in 15 modules, led by Python (1,335 files) and C++ (386).
Built from the index
Code health
This codebase scores 5.8 out of 10 for code health, which we rate fair. Risk is concentrated, as it usually is: 388 of 2,522 files are git hotspots, and they average 3.7 — which is where the fixes pay off most.
On the leaderboards:#4 of 4 Agent memory layers#38 of 44 Python repos
Do next
1 thing worth doing this quarter.
Worth planning
Delete 235 unused symbols and files (5,336 lines)
Nothing in the graph reaches them, across 94 files; every reader and agent pays to skip them.
- symbols
- 235
- lines
- 5,336
- safe to delete
- Yes(inferred)
Medium effort
Improve what Repowise can see
Add a test coverage report
Without one, Repowise cannot tell tested code from untested code, so every test-related action says “unknown”.
- line coverage
- Unknown, no report
Small effort
Use volcengine/openviking in your agent
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https://api.repowise.dev/mcp/volcengine/openvikingOne command, run anywhere. Adds the server to your local Claude Code config.
Docsclaude mcp add --transport http repowise https://api.repowise.dev/mcp/volcengine/openviking \ --header "Authorization: Bearer rw_live_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
This repo is public, so anyone with a Repowise account and an API key can connect.
Try asking
- get_overview()
- get_answer("how is openviking put together?")
- get_why("why is openviking structured this way?")
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Go deeper
- OverviewEverything the index found, what changed this week, commits and decisions.
- DocumentationModule-by-module documentation, written from the source.
- ArchitectureDependency graph, layers and third-party dependencies.
- Code healthEvery file's score, the findings behind it, tests and refactoring plans.
- CommitsEach commit's effect on code health, with agent provenance.
- ContributorsWho owns what, and where one person holds most of the knowledge.
- DecisionsArchitectural decisions mined from commits and pull requests.
- Ask this codebaseSign inGrounded answers over the indexed code.
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https://api.repowise.dev/mcp/volcengine/openvikingFor maintainers
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Repowise badge
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[](https://repowise.dev/repo/volcengine/openviking?src=badge_wiki)Code health badge
The repo's health score out of 10, from the latest index.
[](https://repowise.dev/repo/volcengine/openviking?src=badge_health)Code health card
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[](https://repowise.dev/repo/volcengine/openviking?src=badge_card)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 a map of the volcengine/openviking repository, written primarily in Python, rebuilt from the source each time it is indexed. Repowise 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 architectural decisions into documentation you can read here or query through MCP.
The codebase has 2,522 files and 31,763 symbols in 15 modules, led by Python, C++ and TypeScript. Code health is 5.8 out of 10, rated fair.
Use the links above to open each view, or connect this repository to your agent for grounded answers inside Claude, Cursor, Codex or VS Code.