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

Iai Personal Memory Engine belongs to the Knowledge & Memory category with local stdio execution, while Project Tessera belongs to the Knowledge & Memory category with local stdio execution.

How do I install Iai Personal Memory Engine or Project Tessera 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 Project Tessera free or paid?

Iai Personal Memory Engine operates under a Free / Open Source model (No auth required). Project Tessera 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 882 GitHub stars. Project Tessera lists 53 tools with 2 views and 17 GitHub stars.

Can I use both Iai Personal Memory Engine and Project Tessera 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 Project Tessera

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

Project Tessera

Knowledge & Memory · Local stdio

Quality: 56/100 (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 Project Tessera 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 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 Project Tessera 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).
You have access to required keys: TESSERA_VAULT_KEY.
Primary tools included: search_documents, unified_search, view_file_full.

Feature & Specification Comparison

Specification	Iai Personal Memory Engine CodeAbra Knowledge & Memory	Project Tessera besslframework-stack 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.	Local workspace memory for Claude Desktop. Indexes your documents (Markdown, CSV, session logs) into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph visualization. Zero external dependencies — fastembed + LanceDB, no Ollama or Docker required. 15 MCP tools.

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).

memory_contradict

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"
      ]
    }
  }
}

Project Tessera Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "besslframework-stack-project-tessera": {
      "command": "uvx",
      "args": [
        "--from",
        "project-tessera",
        "tessera"
      ],
      "env": {
        "TESSERA_VAULT_KEY": "YOUR_TESSERA_VAULT_KEY_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

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