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MCP server · Productivity

Memory Manager

Claude Desktop - Memory MCP Server - All Rights Reserved

Unclaimed productivity
34Low

Scored 9 days ago · breakdown

About Memory Manager

Memory Manager is an MCP server in the Productivity category: claude Desktop - Memory MCP Server - All Rights Reserved.

The repository has 1 stars and 0 forks.

Install

From source
git clone https://github.com/physicspackage/mcp-memory-manager

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README

MCP Memory Manager

An MCP (Model Context Protocol) server for AI agents to store and manage memories — tasks, notes, results, and documents — with lifecycle controls like cleanup and summarization.

Features

  • CRUD for memories: memory.create/get/list/update/delete
  • Full-text search via SQLite FTS5
  • Task management: task.create/update_status/add_note/list
  • Namespaces, tags, refs; pin/archive; TTL + cleanup
  • Export/import NDJSON: export.dump / export.import
  • Transports: stdio, TCP, WebSocket, HTTP+SSE

Prerequisites

  • .NET SDK 9.0 or later
  • Windows, macOS, or Linux (x64/ARM64)

Install & Build

  • Restore/build: dotnet build
  • Run tests (optional): dotnet test

Run Options

  • CLI REPL (local smoke-test):

    • dotnet run --project src/McpMemoryManager.Server
    • Commands: note <text>, list, search <query>, task <title>, tasks
  • MCP over stdio: --mcp

    • dotnet run --project src/McpMemoryManager.Server -- --mcp
    • JSON-RPC 2.0 over stdin/stdout with Content-Length framing
  • MCP over TCP: --tcp <HOST:PORT> or --tcp <PORT>

    • dotnet run --project src/McpMemoryManager.Server -- --tcp 127.0.0.1:8765
  • MCP over WebSocket: --ws <URL> or --ws <HOST:PORT>

    • dotnet run --project src/McpMemoryManager.Server -- --ws 127.0.0.1:8080
    • WS endpoint path: /ws (e.g., ws://127.0.0.1:8080/ws)
  • MCP over HTTP + SSE: --http <URL> or --http <HOST:PORT>

    • dotnet run --project src/McpMemoryManager.Server -- --http 127.0.0.1:8765
    • POST JSON-RPC at /mcp (also accepts POST at / and any path)
    • SSE keep-alives at /sse
  • Database location: --db <PATH>

    • Defaults to memory.db under the app base directory
    • Example: --db ./data/memory.db

Examples

  • Stdio with custom DB: dotnet run --project src/McpMemoryManager.Server -- --mcp --db ./.local/memory.db
  • TCP on localhost:8765: dotnet run --project src/McpMemoryManager.Server -- --tcp 8765
  • WebSocket on 0.0.0.0:8080: dotnet run --project src/McpMemoryManager.Server -- --ws 0.0.0.0:8080

Protocol Notes

  • Top-level JSON-RPC methods: initialize, tools/list, resources/list, resources/read
  • Tool calls go through tools/call with { name, arguments }
  • Stdio/TCP framing: Content-Length, Content-Type, blank line, then UTF-8 JSON body
  • WebSocket framing: one JSON-RPC message per text frame

Tools Reference

  • memory.create: Create a memory (content, optional type, title, agentId, ns, metadata, tags, refs, importance, pin, expiresAt)
  • memory.get: Get a memory by id
  • memory.update: Partial update by id (any subset of fields)
  • memory.delete: Soft delete by default; set hard: true to hard-delete
  • memory.archive / memory.unarchive: Archive toggle
  • memory.pin / memory.unpin: Pin toggle
  • memory.list: Filter by agentId, ns, types, tags, pinned, archived, before, after, limit, cursor
  • memory.search: FTS5 search query (optional ns, limit)
  • memory.cleanup: Delete expired memories (expiresAt past)
  • memory.tags.add / memory.tags.remove: Manage tag list
  • memory.refs.add / memory.refs.remove: Manage refs list
  • memory.link: Link two memories (from_id, to_id, optional relation)
  • memory.summarize: Create a summary referencing a memory
  • memory.summarize_thread: Summarize a set of memories (source_ids)
  • memory.merge: Merge source_ids into a new note (optional target_title, ns)
  • export.dump: Export memories to NDJSON (optional ns)
  • export.import: Import NDJSON string; returns upserted count
  • task.create: Create a task (title, optional ns)
  • task.update_status: Update task (id, status, optional note)
  • task.add_note: Attach a note to a task (id, note)
  • task.list: List recent tasks (limit)

Data Storage

  • Backend: SQLite via Microsoft.Data.Sqlite with FTS5 for search
  • File path: default AppContext.BaseDirectory/memory.db or override with --db <PATH>
  • Tables: memories plus FTS virtual table memories_fts and mapping memories_fts_map

MCP Client Config Examples

  • stdio (Windows):

    • type: stdio
    • command: dotnet
    • args: ["run", "--project", "src/McpMemoryManager.Server", "--", "--mcp"]
  • websocket:

    • Start server: dotnet run --project src/McpMemoryManager.Server -- --ws 127.0.0.1:8080
    • Client URL: ws://127.0.0.1:8080/ws
  • http:

    • Start server: dotnet run --project src/McpMemoryManager.Server -- --http 127.0.0.1:8765
    • Client URL: http://127.0.0.1:8765/mcp

Note: --tcp is useful for ad-hoc testing; many clients don’t support raw TCP.

Quick Test

  • Create a note via TCP
    • Start: dotnet run --project src/McpMemoryManager.Server -- --tcp 127.0.0.1:8765
    • Send:
      • { "jsonrpc":"2.0", "id":1, "method":"initialize" }
      • { "jsonrpc":"2.0", "id":2, "method":"tools/list" }
      • { "jsonrpc":"2.0", "id":3, "method":"tools/call", "params": { "name":"memory.create", "arguments": { "content":"hello", "ns":"default" } } }

Project Layout

  • src/McpMemoryManager.Server: main server entrypoint (Program.cs)
  • src/McpMemoryManager.Server/MemoryStore: SQLite store + schema (SqliteStore.cs, Schema.sql)
  • src/McpMemoryManager.Server/Tools: MCP tool host and APIs (ToolHost.cs, MemoryApi.cs, TaskApi.cs)
  • tests/McpMemoryManager.Server.Tests: unit tests

Development

  • Build: dotnet build
  • Test: dotnet test
  • Run with HTTP for local MCP: dotnet run --project src/McpMemoryManager.Server -- --http 127.0.0.1:8765

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Memory Manager

How do I install Memory Manager?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Memory Manager safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Memory Manager still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.