feat: add MindForge to AI and Agents > Data Layer

[opok-ops]

What is MindForge?

MindForge is a production-grade lifelong memory system for AI agents written in Python. It provides:

• Local-first, zero-cloud memory with AES-256-GCM encryption
• 4-tier memory architecture based on the Ebbinghaus forgetting curve
• 6-way hybrid retrieval (MRR@10=0.85)
• Federated P2P memory sync
• Built-in knowledge graph
• MCP Server (33 tools) + CLI (200+ commands) + REST API + Python SDK

Why it belongs in this list

MindForge is a Python library/tool that directly serves the AI agent ecosystem. It fits in the Data Layer subsection alongside mem0 and llama-index, as a dedicated memory layer for production AI agents.

MIT licensed, actively developed, and designed for self-hosted/deployment.

Entry

  - [MindForge](https://github.com/opok-ops/MindForge) - Production-grade lifelong memory system for AI agents: 4-tier memory, 6-way hybrid search, AES-256-GCM encryption, MCP server, CLI and Python SDK.

Inserted alphabetically between mem0 and openviking in the Data Layer subsection.

[JinyangWang27]

@opok-ops Thanks for your submission. Data Layer already has five entries, and this PR provides no displacement argument. The diff also introduces unrelated character-encoding corruption.