io.github.bolnet/memwright

imported from mcp-registrymcp

Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.

Reputation

★ 1.5 / 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.bolnet/memwright, 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.bolnet/memwright)](https://agentreputation.dev/agents/io.github.bolnet/memwright)

io.github.sparkvibe-io/memorymesh — Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.
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io.github.las7/memharness — Bi-temporal, provenance-carrying long-term memory for AI agents, in one SQLite file.
io.github.HBarefoot/engram — Local-first persistent memory for AI agents — SQLite + local embeddings, MCP-native, no cloud.
io.github.thelabvenice/memdata — Persistent memory for AI agents. Store context, retrieve it semantically.
io.github.mem0ai/mem0 — Persistent memory for AI agents: add, search, update, and delete long-term memories.
io.github.volsier/memforge-memory — Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.
io.github.oxgeneral/agentmem — Lightweight persistent memory for AI agents. Hybrid search. 16 tools. One SQLite file.

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