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Let AI securely read and search Fovea memories locally with semantic search.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Fovea Memory MCP" yet — see the docs or source repo.
Using Fovea Memory MCP, search my past memories and notes about “user retention,” prioritize semantically similar results, and summarize the key points in chronological order.
A list of relevant memory entries plus a chronological summary of the research insights.
Please read and search my Fovea records related to “remote work productivity” and extract ideas, examples, and quote snippets I can use in an article.
A reusable writing-material list including themes, case summaries, and quote snippets.
Through Fovea Memory MCP, locally search my meeting memories from the past month related to the product roadmap and organize decisions, action items, and unresolved issues.
A structured meeting summary with decisions, action items, and outstanding risks.
Provide persistent local memory and semantic search for MCP AI clients.
Connect Obsidian vaults for local-first AI memory search and knowledge management.
Provide secure, fault-tolerant, searchable long-term memory for AI applications.
Enable AI clients to remember user preferences across conversations with vector search.
Toggle a local memory server on macOS to extract and store facts.
Give AI assistants persistent memory with vector search, relationships, and access control.