MemoryMesh
The SQLite of AI Memory — persistent, zero-dependency memory for any LLM application.
What it can do
- Remember: Store a new memory in MemoryMesh. Use this to save facts, preferences, decisions, or any information that should persist across conversations.
- Recall: Recall relevant memories from MemoryMesh using semantic similarity and keyword matching.
- Forget: Permanently delete a specific memory by its ID. Searches both project and global stores.
What data it sees
Do you need an account
No: the server works without sign-in
The SQLite of AI Memory — persistent, zero-dependency memory for any LLM application. Dual-store architecture (project + global), pluggable embeddings (local/Ollama/OpenAI), semantic search with time decay, auto-categorization, and contradiction detection. 10 MCP tools. Works with Claude Code, Cursor, Gemini CLI, and any MCP client.
How to connect
How to connect MemoryMesh to Claude
The server address to paste into Claude settings:
https://memorymesh--sparkvibe-io.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect MemoryMesh to ChatGPT
The server address to paste into ChatGPT settings:
https://memorymesh--sparkvibe-io.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect MemoryMesh to Cursor
The server address to paste into Cursor settings:
https://memorymesh--sparkvibe-io.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (10)
Raw names from tools/list. Only developers need these.
| remember | Store a new memory in MemoryMesh. Use this to save facts, preferences, decisions, or any information that should persist across conversations. |
| recall | Recall relevant memories from MemoryMesh using semantic similarity and keyword matching. |
| forget | Permanently delete a specific memory by its ID. Searches both project and global stores. |
| forget_all | Forget ALL stored memories in the specified scope. This is a destructive operation. Defaults to project scope. |
| update_memory | Update an existing memory's text, importance, scope, or metadata in place. Only provided fields are changed. |
| memory_stats | Get statistics about stored memories: total count, oldest and newest timestamps. |
| session_start | Retrieve structured context for the start of a new AI session. Returns user profile, guardrails, common mistakes, and project context. |
| review_memories | Audit memories for quality issues (scope mismatches, verbosity, staleness, duplicates). Returns issues with suggestions. |
| status | Get MemoryMesh health status: project store, global store, embedding provider, and version. |
| configure_project | Set the project root at runtime without restarting the server. Creates the project database at <path>/.memorymesh/memories.db. |