$ loading_
Store project memories and retrieve trusted context with semantic search.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "project-memory-mcp" yet — see the docs or source repo.
Please save this project memory: We decided to migrate user authentication from JWT to OAuth 2.0 in Q3 because we need unified SSO for enterprise customers; set confidence to high and add tags: auth, architecture, Q3.
The tool stores a tagged project memory with confidence metadata for future retrieval and tracking.
Find project memories related to “why we chose PostgreSQL instead of MongoDB as the primary database” and return a summary ranked by relevance and confidence.
Returns relevant past decisions, summarized rationale, and confidence levels to quickly restore context.
List all low-confidence memories in the current project, group them by topic, and indicate which items need manual verification or supporting evidence.
Outputs a grouped list of low-confidence memories and follow-up actions to improve the project knowledge base.
Give MCP clients durable memory for recalling user and project context.
Query projects, clients, tasks, and SEO audits from Neo4j project memory.
Give AI coding agents searchable local project memory with safe structured updates.
Lightweight vector memory for AI agents to store, search, and delete memories.
Manage personal memory, profiles, notes, and semantic search in one place.
Provide persistent local semantic memory for MCP tools to store and search notes.