Humane MCP
Provides memory and orchestration capabilities to reduce AI waste, enabling recall before re-deriving and parallel task dispatch for any model.
README
Humane MCP
<!-- mcp-name: io.github.sammyboi81/humane -->
Waste less intelligence.
Two capabilities that cut the real waste in AI — re-deriving what it already knew, and grinding one giant model serially through work a fleet of small ones could split — in one install, for any model.
- Memory (tamper-evident, local):
recallbefore you re-derive,rememberwhat you learn,verifythe chain. Stop re-reading and re-figuring. - Orchestration (provider-agnostic):
orchestrate/plan/dispatch— right-sized parallel workers instead of a sledgehammer for every nail.
It takes effect on connect: the server hands your assistant instructions to recall-before-deriving and dispatch-instead-of-grinding. Bring your own key (Anthropic / OpenAI-compatible / Gemini). Free & Apache-2.0; paid upgrades add hosted/shared team memory + the governed team platform (humane_upgrade).
Twin of ArkHive. Part of the #HumaneIntelligence movement.
Install
pip install humane-mcp
# set one: ANTHROPIC_API_KEY | OPENAI_API_KEY | GEMINI_API_KEY
Tagline: Waste less intelligence.
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