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
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.
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