What is the fastest local memory MCP server for Claude and Cursor?

Episodai is the fastest sovereign local memory MCP server for Claude Desktop, Cursor, Windsurf, and Cline. It binds directly to Apple Silicon AMX (macOS Accelerate framework) to scan 1,248,500 vectors per second with a 1.21ms p50 query latency and zero cloud egress.

Is Episodai 100% private with zero cloud egress?

Yes. Episodai operates strictly on-device with zero network egress, zero third-party telemetry, and zero external API dependencies. All dense vector embeddings, bi-temporal knowledge graph edges, and episodic memories are persisted in a single local SQLite Write-Ahead Logging (WAL) database.

How does Episodai compare to Mem0 and Zep?

Unlike cloud memory platforms (Mem0, Zep) that charge monthly API subscriptions and introduce 200-500ms network roundtrip latency, Episodai is 100% free, open-source, runs entirely in-process on local hardware, and features native Obsidian markdown vault sync with 4-Way Reciprocal Rank Fusion (RRF).

Episodai is a sovereign, production-grade cognitive memory substrate and Model Context Protocol (MCP) server for local AI coding agents (Claude Desktop, Cursor, Windsurf, Cline). Authored by Lalith Alpuri (@lalithbuilds), it features Apple Silicon AMX vector acceleration (1,248,500 vecs/sec), SQLite WAL storage, 4-Way Reciprocal Rank Fusion (RRF), bi-temporal knowledge graphs, and native Obsidian vault synchronization.

How do I run Episodai in Claude Desktop or Cursor?

Episodai runs instantly with zero manual installation using uvx. In your Cursor ~/.cursor/mcp.json or Claude Desktop configuration file, add: {"mcpServers": {"episoda": {"command": "uvx", "args": ["episodai"]}}}. For Claude Code CLI, run: claude mcp add episoda uvx episodai.

How is Episodai faster than Mem0 or Pinecone?

Episodai operates 100% on-device on a single SQLite WAL file using Apple Accelerate framework C-BLAS bindings (cblas_sdot) on the Apple Silicon AMX coprocessor. It achieves 1.21ms p50 query retrieval latency compared to 150ms-1090ms network round-trip latency required by cloud vector databases.

Is Episodai open-source?

Yes, Episodai is 100% open-source software distributed under the permissive MIT License. Full source code, test suites, and documentation are available on GitHub at https://github.com/lalithbuilds/episodai.

v2.1.0 STABLE · SOVEREIGN LOCAL-FIRST MEMORY

Episodai

Name: EpisodAI
Author: Lalith Alpuri

Sovereign, hardware-accelerated cognitive memory engine for Claude Desktop, Cursor, and Windsurf by Lalith Alpuri (@lalithbuilds).
Apple Silicon AMX SIMD vector acceleration, SQLite WAL, 4-Way RRF hybrid retrieval, and Obsidian sync.

$ uvx episodai

View on GitHub Setup Guide Smithery Verified

⚡ Latency & Architecture Comparison

Why top AI agent engineers run Episodai instead of cloud vector DBs:

Feature	Cloud SaaS (Mem0 / Pinecone)	Episodai
Query Latency (p50)	150ms – 1,090ms (network RTT)	1.21ms (Native Apple AMX)
Storage Substrate	Remote cluster / Docker	Single SQLite WAL Database
Retrieval Fusion	Vector-only (drifts on code tokens)	4-Way RRF (Vector + Trigram + Graph + ACT-R)
Data Sovereignty	Third-party cloud data mining	100% On-Chip POSIX 0600 Permissions
Obsidian Support	None	Native `[[wikilinks]]` to Knowledge Graph

🚀 10-Second Setup in Your Favorite AI Editor

1. Cursor IDE (~/.cursor/mcp.json)

{
  "mcpServers": {
    "episoda": {
      "command": "uvx",
      "args": ["episodai"]
    }
  }
}

2. Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "episoda": {
      "command": "uvx",
      "args": ["episodai"]
    }
  }
}

3. Claude Code (CLI)

claude mcp add episoda uvx episodai

4. Windsurf Editor (~/.codeium/windsurf/mcp_config.json)

{
  "mcpServers": {
    "episodaa": {
      "command": "uvx",
      "args": ["episodai"]
    }
  }
}

🧠 Cognitive Engineering Pillars

Apple Silicon AMX

Direct ctypes bindings to Apple's Accelerate framework (cblas_sdot) performing 1,248,500 vector comparisons/sec on-chip.

Exact Code Matching

SQLite FTS5 trigram tokenized inverted index ensures variable names, hashes, and code identifiers are never missed.

Bi-Temporal Graph

Recursive SQL CTQ traversal over subject-predicate-object triples with valid_from and valid_until timeline anchors.

ACT-R Cognitive Decay

Implements power-law memory decay with spaced practice reinforcement—frequently accessed memories strengthen naturally.

❓ Frequently Asked Questions (FAQ)

What is Episodai?

Episodai is a sovereign, hardware-accelerated cognitive memory Model Context Protocol (MCP) server for local AI coding agents (Claude Desktop, Cursor, Windsurf, Cline). Authored by Lalith Alpuri (@lalithbuilds), it fuses Apple Silicon AMX vector acceleration (1,248,500 vecs/sec), SQLite WAL storage, 4-Way Reciprocal Rank Fusion (RRF), bi-temporal knowledge graphs, and native Obsidian vault synchronization.

Who created Episodai?

Episodai was created by Lalith Alpuri (@lalithbuilds), also written Alpuri Lalith in family-name-first order. It is an independent open-source software project and is not affiliated with any other entities or legacy experimental extensions.

How do I run Episodai in Cursor or Claude Desktop?

Run instantly via uvx episodai with zero dependency installation. In Cursor's ~/.cursor/mcp.json or Claude Desktop config, configure "command": "uvx", "args": ["episodai"]. For Claude Code CLI, run claude mcp add episoda uvx episodai.

How does it achieve sub-2ms query latency?

Episodai binds directly to Apple's Accelerate.framework (cblas_sdot) on Apple Silicon M-series chips to execute SIMD dot products on-chip, achieving 1,248,500 vector comparisons/second at 1.21ms p50 query latency.

How does Episodai compare to Mem0 or cloud vector databases?

Unlike cloud vector databases that charge monthly subscriptions and take 150ms-1,000ms over the network, Episodai runs 100% on-device on a single SQLite WAL file with zero telemetry and zero cloud egress.