What is the key difference between Enacta and Agent Recall?

Enacta belongs to the Knowledge & Memory category with cloud HTTP/SSE execution, while Agent Recall belongs to the Knowledge & Memory category with local stdio execution.

How do I install Enacta or Agent Recall 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 Enacta and Agent Recall free or paid?

Enacta operates under a Free / Open Source model (No auth required). Agent Recall operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Enacta lists 0 tools with 0 views and 0 GitHub stars. Agent Recall lists 0 tools with 1 views and 365 GitHub stars.

Can I use both Enacta and Agent Recall 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 Enacta or Agent Recall 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 Enacta and Agent Recall free to use, or do they require API keys?

Enacta is listed under a Free / Open Source model with No auth required . Agent Recall 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 Enacta and Agent Recall at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both enacta and agent-recall 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, Enacta has a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Agent Recall holds a Quality Score of 47 /100 ( Fair ) with 1 views, 0 installs, and 365 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Enacta vs Agent Recall

In-depth architectural comparison of the Enacta and Agent Recall 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

Enacta

Knowledge & Memory · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Agent Recall

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Enacta if you need specialized Knowledge & Memory tools running via a hosted cloud SSE transport. Choose Agent Recall 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 Enacta when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Enacta Details

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).

Explore Agent Recall Details

Feature & Specification Comparison

Specification	E Enacta Knowledge & Memory	A Agent Recall Knowledge & Memory
Summary	Long-term memory for AI agents: durable records, observable retrieval, governed context assembly.	Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Enacta Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Agent Recall Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

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).

Enacta Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "enacta": {
      "url": "https://multi-turn.ai"
    }
  }
}

Agent Recall Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

Enacta is categorized under Knowledge & Memory and uses a remote streaming HTTP/SSE transport. In contrast, Agent Recall belongs to Knowledge & Memory using local stdio subprocess. Select Enacta when you need capabilities focused on knowledge & memory and Agent Recall when you require tools for knowledge & memory.

More alternatives to Enacta More alternatives to Agent Recall Knowledge & Memory category hub Canonical compare URL