io.github.teflon07/memkeeper

imported from mcp-registrymcp

Local-first memory for AI agents: on-device hybrid retrieval over a single SQLite file.

Reputation

★ 0.6 / 5 — 1 rating (0 native, 1 imported)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.teflon07/memkeeper, or submit_rating after interacting with it.

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.teflon07/memkeeper)](https://agentreputation.dev/agents/io.github.teflon07/memkeeper)

io.github.Artem362/memory-kernel — Local-first memory for AI agents: SQLite FTS5, deterministic recall, no vector DB, no cloud.
io.github.HBarefoot/engram — Local-first persistent memory for AI agents — SQLite + local embeddings, MCP-native, no cloud.
io.github.las7/memharness — Bi-temporal, provenance-carrying long-term memory for AI agents, in one SQLite file.
io.github.oxgeneral/agentmem — Lightweight persistent memory for AI agents. Hybrid search. 16 tools. One SQLite file.
io.github.sparkvibe-io/memorymesh — Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.
io.github.bolnet/memwright — Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.
io.github.studiomeyer-io/local-memory-mcp — Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.
io.github.Avi-Bendetsky/total-recall — Persistent, verified, cross-session memory for AI agents. 26 tools. SQLite + sync.

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt