What is the key difference between Agent Recall and Memory Os Cli?

Agent Recall belongs to the Knowledge & Memory category with local stdio execution, while Memory Os Cli belongs to the Knowledge & Memory category with local stdio execution.

How do I install Agent Recall or Memory Os Cli in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Agent Recall and Memory Os Cli free or paid?

Agent Recall operates under a Free / Open Source model (No auth required). Memory Os Cli operates under a Free / Open Source model (other).

Which MCP server has more tools and community activity?

Agent Recall lists 5 tools with 2 views and 371 GitHub stars. Memory Os Cli lists 20 tools with 2 views and 12 GitHub stars.

Can I use both Agent Recall and Memory Os Cli together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Agent Recall vs Memory Os Cli

In-depth architectural comparison of the Agent Recall and Memory Os Cli MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Agent Recall

Knowledge & Memory · Local stdio

Quality: 68/100 (Great) | Auth: No auth required

Memory Os Cli

Knowledge & Memory · Local stdio

Quality: 61/100 (Good) | Auth: other

Verdict Summary: Choose Agent Recall if you need specialized Knowledge & Memory tools running via a local process. Choose Memory Os Cli if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Agent Recall when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: session_start, session_end, remember.

Explore Agent Recall Details

Choose Memory Os Cli when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: other (Free / Open Source).
Primary tools included: get_mcp_identity, remember, recall.

Explore Memory Os Cli Details

Feature & Specification Comparison

Specification	Agent Recall Knowledge & Memory	Memory Os Cli yonro Knowledge & Memory
Summary	Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.	XMemo is user-owned memory for AI agents over a hosted Streamable HTTP MCP endpoint. Save, search, recall, and manage scoped memories across Copilot, Claude, ChatGPT, IDEs, and CLIs. https://xmemo.dev/mcp
Category & Scope	Knowledge & Memory

Tools & Capabilities Breakdown

Agent Recall Tools (5)

session_start

[ENTRY — call FIRST, before acting] Use when the user asks to start, load, continue, resume, or open memory for a project. Set mode='lite' for a ≤500-token briefing (good for fresh conversations where the agent will pull memory on demand via recall()).

session_end

[ON SAVE/EXIT — YOU must call this; nothing auto-saves] Use when the user asks to save, checkpoint, summarize, end, retain, or persist the current session. Optionally pass close_phase / open_phase to update the project pipeline narrative spine in the same call.

remember

[MID-SESSION WRITE — single fact/decision; saying it is not saving it] Use when the user asks to remember, store, note, or save a specific decision, fact, or insight.

recall

[RETRIEVE — use freely, any time] Use when the user asks to recall, search, find, or look up previous memory, context, or decisions.

check

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Agent Recall Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "agent-recall": {
      "command": "npx",
      "args": [
        "-y",
        "agent-recall-mcp"
      ]
    }
  }
}

Memory Os Cli Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "yonro-memory-os-cli": {
      "command": "npx",
      "args": [
        "-y",
        "--package",
        "@xmemo/client@latest",
        "xmemo-mcp"
      ]
    }
  }
}

Frequently Asked Questions

Agent Recall is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Memory Os Cli belongs to Knowledge & Memory using local stdio subprocess. Select Agent Recall when you need capabilities focused on knowledge & memory and Memory Os Cli when you require tools for knowledge & memory.

More alternatives to Agent Recall More alternatives to Memory Os Cli Knowledge & Memory category hub