graphmemory
graphmemory is a RAG & retrieval skill for AI agents, published by bradAGI in the GraphMemory repository on GitHub. Skillspace rates graphmemory B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Build and query embedded GraphRAG knowledge graphs with DuckDB-backed vector, full-text, and hybrid search. Use when the user wants to store entities and relations, run RAG over a graph, extract knowledge graphs from text with DSPy, run graph algorithms (PageRank, centrality, components), merge/upsert nodes and edges, fuzzy-dedupe an existing graph, or visualize interactively in a browser. Trigger phrases include "knowledge graph", "GraphRAG", "graph database", "hybrid search", "extract entities and relations", "DuckDB graph", "embedded graph store", "dedupe graph nodes".
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 154
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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