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ArkHive MCP

Official

by sammyboi81 · Python

ArkHive MCP: governed, tamper-evident local memory for AI agents. Where context gives meaning.

ArkHive MCP Server (Model Context Protocol)

ArkHive MCP is a Model Context Protocol (MCP) server that provides governed, tamper-evident local memory for AI agents. It is described as local-first and emphasizes context management “where context gives meaning,” along with AI governance and audit-log oriented behavior.

🛠️ Key Features

  • Governed local memory for AI agents
  • Tamper-evident design
  • Audit-log oriented approach
  • Local-first context storage
  • Topics: ai-memory, mcp, model-context-protocol, ai-governance, agent-memory, arkhive, audit-log, local-first, responsible-ai

🚀 Use Cases

  • Preserving agent context locally
  • Supporting governance and tamper evidence for agent memory
  • Tracking or auditing memory changes via audit-log

⚡ Developer Benefits

  • MCP integration via model-context-protocol
  • Developer-relevant categorization through topics (ai-memory, ai-governance, audit-log)

⚠️ Limitations

  • No tool count or specific MCP tools are provided in the available server data.

Topics

ai-memorymcpmodel-context-protocoltamper-evidentai-governanceagent-memoryarkhiveaudit-loglocal-firstresponsible-ai