What is the key difference between Agent Recall and Entroly?

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

How do I install Agent Recall or Entroly 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 Entroly free or paid?

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

Which MCP server has more tools and community activity?

Agent Recall lists 5 tools with 2 views and 371 GitHub stars. Entroly lists 6 tools with 3 views and 465 GitHub stars.

Can I use both Agent Recall and Entroly 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 Entroly

In-depth architectural comparison of the Agent Recall and Entroly 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: 65/100 (Great) | Auth: No auth required

Entroly

Knowledge & Memory · Local stdio

Quality: 64/100 (Good) | Auth: No auth required

Verdict Summary: Choose Agent Recall if you need specialized Knowledge & Memory tools running via a local process. Choose Entroly 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 Entroly 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: Budgeted evidence selection, Recoverable context compression, Content-addressed evidence recovery.

Explore Entroly Details

Feature & Specification Comparison

Specification	Agent Recall Knowledge & Memory	Entroly juyterman1000 Knowledge & Memory
Summary	Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.	Auditable context control plane and MCP server for AI coding agents. Compresses context 70–95% (BM25 + entropy + dep-graph knapsack), stabilizes prompt prefixes for provider cache discounts, routes easy tasks to cheaper models (RAVS Bayesian router), and verifies answers locally with WITNESS hallucination guard (0.844 AUROC, $0, 3 ms). MemoryOS adds local budget-aware working/episodic/semantic memory with decay, safety scanning, and durable persistence. 38 agent integrations (Cursor, Claude Code, Codex, Aider, and more). Ships as MCP server (entroly serve), HTTP proxy, or Python/Rust library. Apache-2.0, local-first. pip install entroly
Category & Scope

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"
      ]
    }
  }
}

Entroly Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "juyterman1000-entroly": {
      "command": "npx",
      "args": [
        "-y",
        "entroly"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Agent Recall More alternatives to Entroly Knowledge & Memory category hub