local-memory-mcp
A local-first long-term memory system for AI coding agents, exposed as an MCP server.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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smankoo
Source: Glama
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
store_memoryStore a new memory. Auto-deduplicates against existing memories. Supports entity extraction for knowledge graph.
recallSemantic recall — the primary way to retrieve relevant memories. Uses hybrid search combining vector similarity, full-text search, recency, and importance scoring.
search_memoriesKeyword-based search through memories using full-text search. Good for exact term lookups.
get_memoryGet a specific memory by its ID.
forgetDelete a memory by ID. Cascades to remove embeddings and graph relations.
relateCreate or strengthen a relationship between two entities in the knowledge graph.
query_graphQuery the knowledge graph to find entities and their relationships.
consolidateTrigger memory consolidation: decay importance of old memories, merge highly similar ones, prune very weak memories.
memory_statsGet statistics about the memory system.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
When Vitest UI server is listening, arbitrary file can be read and executed
Drizzle ORM has SQL injection via improperly escaped SQL identifiers
nanoid: non-secure generators can loop indefinitely with negative size
nanoid: Integer Overflow or Wraparound
EMBEDDING_MODELHuggingFace model for embeddingsMEMORY_DIRGlobal data directoryMEMORY_PROJECTProject root overrideTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
9/9 tools missing one or more hints — store_memory (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); recall (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_memories (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +6 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
8/9 tool handlers declare input schemas (89%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool test coverage
3/9 tools referenced in tests (33%)
Write tests that reference each tool by name so every tool has at least one test.
Production dependencies are patched
0 critical, 3 high severity in production deps — drizzle-orm@0.45.1 (high), nanoid@5.1.7 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
Dev dependencies
1 critical/high in dev-only deps (does not ship to users)
Upgrade dev dependencies when convenient.
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