cortex-graph-search
Skill15 starsChanged 5 months agoApache-2.0View on GitHub
Cortex knowledge graph and QMD search — NetworkX graph, edge types, vault_context, semantic/keyword/hybrid search. Use for graph stats, links, or search behavior.
In this repository10 other files it gives its agents.
- AGENTS.mdAGENTS.md
- cortex-apiSkill
- cortex-authSkill
- cortex-compilerSkill
- cortex-contributingSkill
- cortex-deploySkill
- cortex-feedbackSkill
- cortex-mcpSkill
- cortexSkill
- cortex-vaultSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 32
Debounce: After vault_write, QmdDebounce schedules index refresh (cortex/search/debounce.py).
- Very specific: line 37
Run search with query
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Cortex graph and search
Knowledge graph
- Storage:
cortex/graph/store.py— NetworkXDiGraph, persisted to{vault}/.cortex/graph.json. - Models:
cortex/vault/models.py—NodeType,EdgeType,GraphNode,GraphEdge. - Rebuild:
cortex/graph/builder.pyscans vault markdown and wikilinks.
Node types
note, tag, agent, session, daily, feedback (from path prefix or frontmatter type).
Edge types
links_to, authored_by, contradicts, derived_from, supersedes, memory_of, tagged_with.
API surface
- REST:
POST/GET/DELETE /api/v1/links,GET /api/v1/graph/stats - MCP:
vault_link,vault_context(expands neighbors from search hits)
QMD search
- Module:
cortex/search/qmd.py— wraps QMD CLI for keyword, semantic, and hybrid modes. - Debounce: After
vault_write,QmdDebounceschedules index refresh (cortex/search/debounce.py). - Modes:
keyword,semantic,hybrid(default hybrid in many call sites).
vault_context flow
- Run search with
query - Take top notes
- Expand graph neighbors up to
max_depth - Return combined context for agents
VaultWatcher sync
cortex/vault/watcher.py updates graph on file changes so disk edits stay consistent without full rebuild.
Debugging
- Empty search: check QMD index / vault path /
CORTEX_VAULT_PATH - Missing edges: run graph rebuild or trigger watcher; verify wikilink targets exist under allowed folders
- Stats:
GET /api/v1/graph/stats
Related skills
- Vault paths:
cortex-vault - MCP tools:
cortex-mcp
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

