What is the key difference between Memkin and Engram?

Memkin belongs to the Knowledge & Memory category with local stdio execution, while Engram belongs to the Knowledge & Memory category with local stdio execution.

How do I install Memkin or Engram 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 Memkin and Engram free or paid?

Memkin operates under a BYOK (Pay Provider Direct) model (API Key required). Engram operates under a Free / Open Source model (API Key required).

Which MCP server has more tools and community activity?

Memkin lists 6 tools with 3 views and 5 GitHub stars. Engram lists 6 tools with 1 views and 9 GitHub stars.

Can I use both Memkin and Engram 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 Memkin or Engram 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 Memkin and Engram free to use, or do they require API keys?

Memkin is listed under a BYOK (Pay Provider Direct) model with API Key required . Engram operates under a Free / Open Source model with API Key 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 Memkin and Engram at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both andrelyl-memkin and rwnalds-engram 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, Memkin has a Quality Score of 53 /100 ( Good ) with 3 views, 0 installs, and 5 GitHub stars. Engram holds a Quality Score of 45 /100 ( Fair ) with 1 views, 0 installs, and 9 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Memkin vs Engram

In-depth architectural comparison of the Memkin and Engram 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

Memkin

Knowledge & Memory · Local stdio

Quality: 53/100 (Good) | Auth: API Key required

Engram

Knowledge & Memory · Local stdio

Quality: 45/100 (Fair) | Auth: API Key required

Verdict Summary: Choose Memkin if you need specialized Knowledge & Memory tools running via a local process. Choose Engram 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 Memkin when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: OPENAI_API_KEY, OLLAMA_API_KEY.
Primary tools included: Incremental and historical data collection from 7 Feishu sources, AI session data ingestion from Claude Code, Codex, Hermes/OpenClaw, Private local knowledge graph with entity linking and identity merging.

Explore Memkin Details

Choose Engram when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: ENGRAM_GIT_REPO, ENGRAM_PORT, ENGRAM_JWT_SECRET, ENGRAM_WRITE_TOKEN, ENGRAM_READ_TOKEN.

Feature & Specification Comparison

Specification	Memkin AndreLYL Knowledge & Memory	Engram rwnalds Knowledge & Memory
Summary	Local-first personal memory for AI agents. Ingests Feishu/Lark chats and Claude Code / Codex sessions, distills them into a private entity knowledge graph (people, projects, decisions, tasks), and serves it to any agent over MCP — read and write. npx memkin	Second brain your agents read and write, over a git-backed markdown vault. Authority-aware search ranks superseded and archived notes below live ones (from frontmatter, no vector DB), so agents quote the current doc, not the dead one. Per-agent read-only or write tokens, a git audit trail of every change with diffs, a knowledge-graph dashboard, and Obsidian compatibility.
Category & Scope

Tools & Capabilities Breakdown

Memkin Tools (6)

Incremental and historical data collection from 7 Feishu sources

AI session data ingestion from Claude Code, Codex, Hermes/OpenClaw

Private local knowledge graph with entity linking and identity merging

Hybrid retrieval combining full-text search and vector similarity

Privacy-preserving data handling with reversible and irreversible redaction

MCP server supporting stdio and Streamable HTTP transport

Engram 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).

Memkin Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "andrelyl-memkin": {
      "command": "npx",
      "args": [
        "-y",
        "memkin"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE",
        "OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY_HERE"
      }
    }
  }
}

Engram Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "rwnalds-engram": {
      "command": "npx",
      "args": [
        "-y",
        "rwnalds-engram"
      ],
      "env": {
        "ENGRAM_GIT_REPO": "YOUR_ENGRAM_GIT_REPO_HERE",
        "ENGRAM_PORT": "YOUR_ENGRAM_PORT_HERE",
        "ENGRAM_JWT_SECRET": "YOUR_ENGRAM_JWT_SECRET_HERE",
        "ENGRAM_WRITE_TOKEN": "YOUR_ENGRAM_WRITE_TOKEN_HERE",
        "ENGRAM_READ_TOKEN": "YOUR_ENGRAM_READ_TOKEN_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

More alternatives to Memkin More alternatives to Engram Knowledge & Memory category hub