"Fresh" matching MCP servers:

This server connects Fresh Jots notes with clients

Enables storing durable AI memories linked to local JSON or text sources, automatically superseding outdated structured values, flagging ambiguous changes for review, excluding expired information, and preserving revision history in a local SQLite database.

MCP server that serves fresh, attributed facts from a Coalent semantic cache, automatically invalidating when underlying sources change, for use with Claude Code, Cursor, and other MCP clients.

Gives Alexa+ persistent, structured memory of a household kitchen: tracking purchased groceries, flagging items at risk of spoiling, proposing rescue meals from expiring ingredients, and maintaining shopping lists, receipt ingestion, and waste reports through MCP tool calls. Storage, tool logic, and safety controls (consent gates, two-step deletion, rate limiting) are exposed over Streamable HTTP for any MCP client.

Enables multiple AI agents to share one local SQLite kanban by registering identities, creating and breaking down items, recording progress, and submitting work for acceptance under enforced approval gates. It also lets agents read and propose updates to per-project handoff memory so a new session can pick up work without a fresh briefing.

Verified memory for AI agents — agents propose memories that are quarantined until verified against evidence, and recall() returns only trusted, fresh, and in-scope facts, preventing poisoned or hallucinated data from spreading.

Enables every coding agent session, on every machine you use, to share one permanent word-for-word memory that is folded into a binary tree of one-line summaries, so a fresh session can read the whole history in a fixed-size view and zoom into any line down to the original message. Summaries are produced by your own agents through the server's compaction tools, with no model or API key required, and machines synchronize through a shared folder without any central owner.