A
licenseB
qualityD
maintenanceProvides AI assistants with enhanced reasoning capabilities through structured thinking, persistent knowledge graph memory, and intelligent tool orchestration for complex problem-solving.
20
46 npm
63
MIT
Humane MCP
by sammyboi81
Provides memory and orchestration capabilities using OpenAI-compatible APIs as the model provider, allowing AI agents to recall prior knowledge and dispatch parallel workers.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Humane MCP
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_KEYTagline: Waste less intelligence.
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
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Shared memory for every AI tool you use.
A living memory and world-building layer for your AI: cards, worlds, personas and agent dispatch.
Governed memory and workspace for any AI: tasks, calendar, mail and pages, with per-action consent.
Universal memory for AI agents and tools. Save, organize and search context anywhere.
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