Enterprise DNA Enterprise DNA
M MCP Servers Developer low

gamaze-labs/hicortex

by Various

Self-learning memory for AI agents — experience captured automatically, distilled into lessons overnight, shared across your whole fleet. Works with Hermes, OpenClaw, Claude Code,

MCP

gamaze-labs/hicortex

Added 16 Sept 2026

#agent-memory #ai-agents #claude-code #developer-tools #embeddings #hermes #knowledge-graph #llm

Overview

Self-learning memory for AI agents. Captures agent experiences automatically, distills them into lessons overnight, and shares those lessons across a fleet of agents. Supports Hermes, OpenClaw, Claude Code, and Pi. Written in TypeScript.

Best for

Best for
Teams running fleets of AI agents that need shared, persistent memory.

Use cases

  • Persist agent learnings across sessions
  • Share distilled lessons across multiple agents
  • Automate memory consolidation for agent fleets

How to use

Install

npx @gamaze/hicortex init

Tested with

Claude Desktop, Claude Code, Cursor, ChatGPT

Notes

Self-learning memory for AI agents. Captures agent experiences automatically, distills them into lessons overnight, and shares those lessons across a fleet of agents. Supports Hermes, OpenClaw, Claude Code, and Pi. Written in TypeScript.

2 stars on GitHub. Last updated 2026-09-15.

Use cases

  • Persist agent learnings across sessions
  • Share distilled lessons across multiple agents
  • Automate memory consolidation for agent fleets

Pros

  • Automatic capture and distillation of agent experience
  • Cross-agent sharing of learned lessons
  • Works with several popular agent frameworks

Cons

  • Very early stage with only 2 GitHub stars
  • Overnight distillation implies delayed availability of lessons
  • Limited to supported agents (Hermes, OpenClaw, Claude Code, Pi)

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

Pros

  • Automatic capture and distillation of agent experience
  • Cross-agent sharing of learned lessons
  • Works with several popular agent frameworks

Cons

  • Very early stage with only 2 GitHub stars
  • Overnight distillation implies delayed availability of lessons
  • Limited to supported agents (Hermes, OpenClaw, Claude Code, Pi)

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

Running a business, not writing the code? See the MCP servers picked for operators, and get your first one wired up with us.

Operator picks