What is the key difference between Agent Memory and Alaya?

Agent Memory belongs to the Knowledge & Memory category with local stdio execution, while Alaya belongs to the Knowledge & Memory category with local stdio execution.

How do I install Agent Memory or Alaya 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 Memory and Alaya free or paid?

Agent Memory operates under a Free / Open Source model (No auth required). Alaya operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Agent Memory lists 6 tools with 0 views and 7 GitHub stars. Alaya lists 6 tools with 0 views and 13 GitHub stars.

Can I use both Agent Memory and Alaya 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.

How do I install Agent Memory or Alaya in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Agent Memory and Alaya free to use, or do they require API keys?

Agent Memory is listed under a Free / Open Source model with No auth required . Alaya operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Agent Memory and Alaya at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both g1itchbot8888-del-agent-memory and securityronin-alaya as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Agent Memory has a Quality Score of 47 /100 ( Fair ) with 0 views, 0 installs, and 7 GitHub stars. Alaya holds a Quality Score of 53 /100 ( Good ) with 0 views, 0 installs, and 13 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Agent Memory vs Alaya

In-depth architectural comparison of the Agent Memory and Alaya 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 Memory

Knowledge & Memory · Local stdio

Quality: 47/100 (Fair) | Auth: No auth required

Alaya

Knowledge & Memory · Local stdio

Quality: 53/100 (Good) | Auth: No auth required

Verdict Summary: Choose Agent Memory if you need specialized Knowledge & Memory tools running via a local process. Choose Alaya 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 Memory 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: Three-layer memory: identity, active context, and archive, Semantic recall by meaning rather than keywords, Graph memory tracking updates, extensions, derivations, and expirations.

Explore Agent Memory Details

Choose Alaya 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: Neuroscience-grounded memory lifecycle with Bjork dual-strength forgetting, Local SQLite storage with zero configuration, Typed stores for episodes, knowledge, and preferences.

Feature & Specification Comparison

Specification	Agent Memory g1itchbot8888-del Knowledge & Memory	Alaya SecurityRonin Knowledge & Memory
Summary	Three-layer memory system for agents (identity/active/archive) with semantic search, graph relationships, conflict detection, and LearningMachine. Built by an agent, for agents. No API keys required.	Neuroscience-inspired memory engine for AI agents. Stores episodes, consolidates knowledge through a Bjork-strength lifecycle (strengthening, transformation, forgetting), and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. Local SQLite, zero config, 10 MCP tools. Install via npx alaya-mcp.
Category & Scope

Tools & Capabilities Breakdown

Agent Memory Tools (6)

Three-layer memory: identity, active context, and archive

Semantic recall by meaning rather than keywords

Graph memory tracking updates, extensions, derivations, and expirations

Auto-capture of decisions and insights without explicit commands

LearningMachine for tracking recall hits, misses, and corrections

Local SQLite storage with no cloud or API key dependencies

Alaya Tools (6)

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 Memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "g1itchbot8888-del-agent-memory": {
      "command": "uvx",
      "args": [
        "openclaw-memory"
      ]
    }
  }
}

Alaya Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "securityronin-alaya": {
      "command": "uvx",
      "args": [
        "alaya-memory"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Agent Memory More alternatives to Alaya Knowledge & Memory category hub