What is the key difference between Iai Personal Memory Engine and RCLL?

Iai Personal Memory Engine belongs to the Knowledge & Memory category with local stdio execution, while RCLL belongs to the Knowledge & Memory category with cloud HTTP/SSE execution.

How do I install Iai Personal Memory Engine or RCLL 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 Iai Personal Memory Engine and RCLL free or paid?

Iai Personal Memory Engine operates under a Free / Open Source model (No auth required). RCLL operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Iai Personal Memory Engine lists 9 tools with 2 views and 850 GitHub stars. RCLL lists 5 tools with 0 views and 0 GitHub stars.

Can I use both Iai Personal Memory Engine and RCLL 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

Iai Personal Memory Engine vs RCLL

In-depth architectural comparison of the Iai Personal Memory Engine and RCLL 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

Iai Personal Memory Engine

Knowledge & Memory · Local stdio

Quality: 67/100 (Great) | Auth: No auth required

RCLL

Knowledge & Memory · Remote HTTP/SSE

Quality: 52/100 (Good) | Auth: No auth required

Verdict Summary: Choose Iai Personal Memory Engine if you need specialized Knowledge & Memory tools running via a local process. Choose RCLL if your workspace requires Knowledge & Memory integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Iai Personal Memory Engine 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: memory_recall, memory_temporal_recall, memory_recall_structural.

Explore Iai Personal Memory Engine Details

Choose RCLL 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).
Primary tools included: memory_retain, memory_recall, memory_reflect.

Explore RCLL Details

Feature & Specification Comparison

Specification	Iai Personal Memory Engine CodeAbra Knowledge & Memory	R RCLL Knowledge & Memory
Summary	Local memory daemon for any MCP-over-stdio client with three-tier storage (episodic/semantic/procedural). Own SQLite + hnswlib store (Hippo) with bge-small-en-v1.5, MIT-licensed community-detection reranking (MOSAIC), and sleep-cycle consolidation. AES-256-GCM encrypted at rest, no telemetry. Verbatim recall >=99% and post-contradiction Rescue@10 1.000 at honest scale. Ambient capture via shell hooks. Windows support in beta.	Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.
Category & Scope

Tools & Capabilities Breakdown

Iai Personal Memory Engine Tools (9)

memory_recall

Cue-based recall — returns hits **and anti-hits**: memories that *contradict* the cue surface next to the ones that match, so a stale fact can't masquerade as current.

memory_temporal_recall

Time-anchored recall — *"what did I say about pricing in May?"*

memory_recall_structural

Retrieve by the *shape* of a memory (the HD substrate), not just its embedding.

memory_search

Plain text search over the store.

memory_capture

Write a memory explicitly (ambient capture normally does this for you).

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).

Iai Personal Memory Engine Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "codeabra-iai-personal-memory-engine": {
      "command": "uvx",
      "args": [
        "iai-pme"
      ]
    }
  }
}

RCLL Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "rcll": {
      "url": "https://godcrm.ai/git/holetron-lab/fleet-memory"
    }
  }
}

Frequently Asked Questions

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

More alternatives to Iai Personal Memory Engine More alternatives to RCLL Knowledge & Memory category hub