humane-intelligence
humane INTELLIGENCE IS A MEMORY AND GOVERNANCE mcp THAT KEEPS YOUR AI ACCOUNTABLE.
README
ArkHive MCP
<!-- mcp-name: io.github.sammyboi81/arkhive -->
Local-first governed memory for AI agents, with persistent identity, tamper-evident history, verification, and constraint-aware decisions.
Tell your AI: “Check the ArkHive.”
ArkHive is an open-source Model Context Protocol server for developers and teams that want Claude, Codex, and other MCP clients to retain accountable context across sessions without sending memory to a hosted service by default.
Install in one command
python -m pip install humane-intelligence
The preferred MCP command is arkhive-mcp. The existing
humane-intelligence command remains available for backward compatibility.
Release note: PyPI currently provides version
0.1.0. The repository contains the prepared0.1.1metadata; do not publish or register0.1.1until that package version has been released to PyPI.
Connect an MCP client
Claude Desktop
Add this entry to your Claude Desktop MCP configuration, then restart Claude Desktop:
{
"mcpServers": {
"arkhive": {
"command": "arkhive-mcp",
"args": []
}
}
}
If Claude Desktop cannot find commands installed by pip, replace
arkhive-mcp with the absolute path printed by:
python -c "import shutil; print(shutil.which('arkhive-mcp'))"
Codex
codex mcp add arkhive -- arkhive-mcp
Confirm it is configured with:
codex mcp list
Available tools
| Tool | What it does |
|---|---|
birth |
Creates a stable agent identity with an explicit covenant. |
remember |
Appends a hash-linked, tamper-evident record for a born identity. |
recall |
Retrieves prior records so an agent can ground the current session. |
verify |
Recomputes and checks the local chain for later alteration or broken links. |
govern |
Evaluates an action against deterministic constraints and records the verdict. |
The local chain is stored in SQLite. The exact location depends on where the
server command is launched; use a dedicated working directory if you want to
control where its data/chain.db file lives.
Two-minute verification
After connecting the server, say “Check the ArkHive”, or ask your MCP client to perform these calls in order:
- Call
birthwith the nameverification-agentand covenant["record facts accurately", "verify before claiming completion"]. - Copy the returned identity and call
rememberwith actioninstallation_verifiedand data{"source": "local MCP test"}. - Call
recallfor that identity and confirm the record appears. - Call
verifyand confirm the chain reports as valid. - Call
governfor a harmless test action and inspect the recorded verdict.
This exercises identity, persistence, retrieval, integrity verification, and governance without production data.
Privacy and optional contribution
Local-only behavior is the default. With contribution disabled, no chain content or hashes are intentionally sent by ArkHive.
Copy humane.config.example.json to humane.config.json only if you want to
opt in:
| Mode | What leaves the machine |
|---|---|
Default (enabled: false) |
Nothing is intentionally transmitted. |
anchor |
The latest block hash and chain length. Memory content is not included. |
contribute |
The governed event fields described in the example configuration, in addition to anchoring data. |
Anchoring and contribution are optional, best-effort, and off by default. Review the configured endpoint and event contents before enabling either mode.
What the hash chain protects against
The chain is tamper-evident: editing, deleting, or reordering an existing record should cause later verification to fail because hashes no longer match. This provides useful evidence of change and makes accidental or unsophisticated local alteration detectable.
It does not prevent an attacker with full control of the machine from replacing the database and software together, deleting all history, restoring an older snapshot, stealing readable local data, or generating a new internally consistent chain. Independent anchoring can strengthen evidence that a particular chain state existed at a particular time, but it does not make the local host immune to compromise.
Project links
Contributing
Issues and pull requests are welcome. Please keep local-only operation as the default, avoid introducing telemetry, and include tests for changes to memory or governance behavior.
ArkHive is the open governed-memory layer beneath DonDataBrain. The mission is humane, accountable AI; the public MCP listing leads with functionality that users can independently verify.
Apache-2.0 © 2026 ZagAIrot Technologies LLC.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.