Provides memory and orchestration capabilities using OpenAI-compatible APIs as the model provider, allowing AI agents to recall prior knowledge and dispatch parallel workers.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Humane MCP Recall what we know about this bug and dispatch parallel investigations."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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): recall before you re-derive, remember what you learn, verify the 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.
pip install humane-mcp
# set one: ANTHROPIC_API_KEY | OPENAI_API_KEY | GEMINI_API_KEYTagline: Waste less intelligence.
This server cannot be installed
Universal memory for AI agents and tools. Save, organize and search context anywhere.
User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.
Persistent memory for AI agents — verbatim conversations, searchable by meaning.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/sammyboi81/humane'
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