Ace Memory

io.github.rudedogggPublished by GitHub account rudedogggv1.0.0Updated Oct 24, 2026

Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.

The publisher's own server: Memory.fit

VerifiedStreamable HTTPWeb executableKnowledge & MemoryAI & ML

Overview

AI-generated overview

A remote MCP server that gives AI assistants persistent memory, with semantic search, a memory graph and W3C DID identity.

What you can do
Store and recall persistent memories across sessions so an assistant keeps context over time, per the description's promise of persistent memory for AI agents. Search stored memories semantically rather than by exact keywords. Explore connections between memories through a memory graph. Associate memories with a W3C DID identity. No tool list is published, so the exact operations are not documented here.
When to use it
When you want an assistant to remember information between conversations or across sessions, and to retrieve it by meaning rather than exact wording. Suited to ongoing projects or personal context that should persist.
Requirements
A remote endpoint at ais.agentsandswarms.ai reached over streamable HTTP. OAuth authentication is required, so an account with that provider is needed. No environment variables or headers are declared.
Before you install
Memories are stored on a third-party remote service, so anything you ask the assistant to remember leaves your machine and persists there. OAuth grants that service access tied to your identity. No tool list or README is available, so what is written, changed or deleted cannot be verified before connecting.

Installation

In SourceWeft

  1. Open Ace Memory in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. 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.rudedoggg%2Face-memory/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.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "ace-memory": {
      "type": "http",
      "url": "https://ais.agentsandswarms.ai/mcp"
    }
  }
}

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

67% 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.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.

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