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VrtxOmega/omega-brain-mcp

by Various

Standalone MCP server — cross-session memory, 10-gate VERITAS build pipeline, cryptographic audit ledger, Cortex approval gate. Two files, one dependency.

V

MCP

VrtxOmega/omega-brain-mcp

Added 1 June 2026

#ai #artificial-intelligence #episodic-memory #genai #llm #mcp #mcp-server #ollama

Overview

A standalone MCP server that provides cross-session memory, a 10-gate VERITAS build pipeline, a cryptographic audit ledger, and a Cortex approval gate. It is implemented in Python with only two files and one dependency.

Best for

Best for
Developers building secure, auditable MCP servers with persistent memory

Use cases

  • Maintaining persistent memory across MCP sessions
  • Implementing a multi-gate verification pipeline for AI agents
  • Auditing agent decisions with cryptographic logs

Notes

A standalone MCP server that provides cross-session memory, a 10-gate VERITAS build pipeline, a cryptographic audit ledger, and a Cortex approval gate. It is implemented in Python with only two files and one dependency.

4 stars on GitHub. Last updated 2026-05-03. Licensed MIT.

Use cases

  • Maintaining persistent memory across MCP sessions
  • Implementing a multi-gate verification pipeline for AI agents
  • Auditing agent decisions with cryptographic logs

Pros

  • Minimal footprint with only two files and one dependency
  • Built-in cryptographic audit ledger for verifiable logs
  • Structured approval gate (Cortex) for controlled execution

Cons

  • Low star count (4) indicates limited community adoption
  • May lack extensive documentation or support
  • Specific to MCP ecosystem, not a general-purpose tool

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Minimal footprint with only two files and one dependency
  • Built-in cryptographic audit ledger for verifiable logs
  • Structured approval gate (Cortex) for controlled execution

Cons

  • Low star count (4) indicates limited community adoption
  • May lack extensive documentation or support
  • Specific to MCP ecosystem, not a general-purpose tool