oomkapwn/enquire-mcp — The most advanced Obsidian MCP — long-term memory for AI agents.

Description and use

**Project Summary:**
Enquire-MCP is an open-source, long-term memory system for AI agents, designed to enhance their capabilities by providing a hybrid retrieval mechanism and enabling the coordination of multi-agent workflows. This system is built to integrate with popular AI platforms such as Claude, Codex, and ChatGPT, allowing for the creation of repeatable agent workflows. With its high production readiness and strong ecosystem signals, Enquire-MCP is a promising solution for standardizing agent memory and tool-use pipelines.

**Value Proposition:**
The Enquire-MCP system offers several key benefits, including:

• **Enhanced AI Agent Capabilities:** By providing a robust long-term memory system, Enquire-MCP enables AI agents to learn and retain knowledge more effectively, leading to improved performance and decision-making.
• **Increased Efficiency:** The system's ability to coordinate multi-agent workflows and integrate with various tools and platforms streamlines the development and deployment of AI-powered applications.
• **Improved Standardization:** Enquire-MCP's standardized agent memory and tool-use pipelines facilitate the creation of repeatable workflows, making it easier to deploy and maintain AI-powered systems.

**Practical Adoption Path:**
To adopt Enquire-MCP, developers can follow these steps:

1. **Evaluate the System:** Assess the En

Problem

oomkapwn/enquire-mcp helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

The most advanced Obsidian MCP — long-term memory for AI agents. Hybrid retrieval (BM25 + ML + BGE rerank, RRF-fused), HNSW live-update, agentic RAG (HyDE + sub-question), Obsidian Bases, PDFs+OCR. For Claude Code/Desktop, Cursor, ChatGPT, Codex, OpenClaw. MCP-native, MIT, SLSA L2.

Source