volcengine/openviking
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volcengine/openvikingvolcengine/openviking
Repowise · Codebase intelligence
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.
Repowise ranks every file by predicted defect risk. Of the 20 files it flags as riskiest, 19 (95%) actually needed a bug fix in the last 6 months — 3.0× better than picking files at random.
bot
bot
bridge
bot/bridge
ov_cli
crates/ov_cli
ragfs
crates/ragfs
ragfs-python
crates/ragfs-python
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, structured as a monorepo with 13 packages. Git churn analysis flags 388 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 548 tightly-coupled module communities.
Use the panels 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.
Files, symbols, languages, packages, git intelligence
Dependency graph, layered architecture, symbol index, and third-party dependencies
Per-file health scores, hotspots, test coverage, dead code, and refactoring targets
Module-by-module documentation generated from source
Change-risk ranked history with AI-agent provenance and hotspots
Bus-factor, per-file maintainer maps, and human/agent collaboration
Architectural decisions extracted from commits and PRs
Ask grounded questions over the indexed code
docs
docs
claude-code-memory-plugin
examples/claude-code-memory-plugin
multi_tenant
examples/multi_tenant
openclaw-plugin
examples/openclaw-plugin
opencode-plugin
examples/opencode-plugin
cli
npm/cli
oc2ov_test
tests/oc2ov_test
benchmark/RAG/run.pybot/bridge/src/index.tsbot/bridge/src/server.tsbot/vikingbot/__main__.pycrates/ov_cli/src/main.rscrates/ov_cli/src/tui/app.rscrates/ragfs-python/src/lib.rscrates/ragfs/src/lib.rscrates/ragfs/src/shell/main.rsdocs/.vitepress/theme/index.tsdocs/images/agents/en/index.jsondocs/images/agents/zh/index.json