
Mnema — AI Memory Layer
io.github.hoanglt1223Published by GitHub account hoanglt1223v0.1.1Updated Oct 24, 2026
Personal knowledge graph as an AI memory layer over MCP - read, save, and link your memories.
The publisher's own server: Memory.fit
Overview
Mnema is a remote personal knowledge graph that acts as an AI memory layer, letting an assistant read, save and link your memories over MCP.
- What you can do
- Read stored memories from your personal knowledge graph through the remote MCP endpoint, so an assistant can recall what you have saved before. Save new memories into the graph as you work. Link memories together to build a connected personal knowledge base rather than a flat list. Access is scoped to your own account through a personal access token.
- When to use it
- Use it when you want an assistant to carry context across sessions by recalling and adding to a personal knowledge graph you control, rather than starting from scratch each time. It suits people who already keep notes or ideas in the Mnema service and want an assistant to work with them.
- Requirements
- A remote MCP connection to the provider's hosted endpoint over streamable HTTP. A Mnema account and a personal access token, sent as a Bearer token in the Authorization header; the token is minted on the provider's connect page. Network access to the provider's service.
Installation
In SourceWeft
- Open Mnema — AI Memory Layer in the dashboard and add it to a workspace.
- Connect Authorization token credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.hoanglt1223%2Fmnema/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"mnema-ai-memory-layer": {
"type": "http",
"url": "https://secondbrain.hoangha.shop/api/mcp",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}README
This repository has no README.
Tools
0Version history
1- v0.1.1LatestSep 16, 2026
Score
60% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
- License10 pts
Declare a license in the repository or the registry entry.
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