hermes-memory-mcp
A multi-tier memory system for autonomous agents to persist, retrieve, and manage cognitive states across semantic, structural, and technical levels.
README
Hermes Memory MCP: The Cognitive Substrate
A high-fidelity, multi-tier memory system designed for the SuperInstance Ecosystem. This Model Context Protocol (MCP) server provides a standardized interface for autonomous agents to persist, retrieve, and manage cognitive states across different levels of abstraction.
🧠The Multi-Tier Memory Matrix
The core innovation of this system is its non-linear, multi-tier storage architecture. Rather than a flat "key-value" store, Hermes organizes intelligence into three distinct tiers:
| Tier | Cognitive Level | Description | Use Case |
|---|---|---|---|
| Semantic | The "Why" & "How" | High-level reasoning, design principles, and philosophical intent. | "Why was the sensor fusion logic implemented this way?" |
| Structural | The "Who" & "What" | Entity maps, agent taxonomies, repo structures, and SOPs. | "What is the current hierarchy of the Claw fleet?" |
| Technical | The "Where" & "How Much" | Absolute paths, API schemas, hardware constraints, and environmental facts. | "What is the absolute path to the sonar logs?" |
🛠Agent Capabilities (Tools)
Agents interacting with this server have two primary superpowers:
1.
Purpose: Commit a new piece of intelligence to the substrate.
- Parameters:
- : ( | | ) — The ownership domain.
- : ( | No files replaced | ) — The modification type.
- : ( | | ) — The cognitive layer.
- : The actual declarative fact or instruction.
- : Metadata for high-speed retrieval.
2.
Purpose: Perform targeted retrieval of intelligence.
- Parameters:
- : Natural language or keyword search.
- : Filter by cognitive level to reduce noise.
- : Filter by ownership.
🤖 Agent-to-Agent (A2A) Native Instructions
To maximize the efficacy of this memory center, agents must adhere to these Communication Protocols:
A. The "Declarative Fact" Protocol (DFP)
Agents must avoid writing "intent" or "transient thought" to the memory substrate. Memory should only contain stabilized intelligence.
| Bad Practice (Transient/Intent) | Good Practice (Declarative Fact) |
|---|---|
| "I am going to try to find the log file." | "Target: Log directory identified at ." |
| "I think the user wants concise answers." | "User preference: Concise, technical-first communication styles." |
| "I will record the sensor data every 10m." | "SOP: Sensor telemetry is recorded at 10-minute intervals." |
B. The "Handover Pattern"
When an agent enters a "Task Completion" state, it must perform a Memory Handover to ensure its successor doesn't start from zero.
- Identify: What was learned? (e.g., a new API endpoint).
- Tier: Which tier does it belong to? (e.g., ).
- Commit: Call .
🚀 Installation & Setup
- Install Dependencies: up to date, audited 18 packages in 949ms
3 packages are looking for funding
run npm fund for details
1 high severity vulnerability
To address all issues (including breaking changes), run: npm audit fix --force
Run npm audit for details.
2. Build:
hermes-memory-mcp@1.0.0 build tsc
- Configure MCP Client: Add the following to your configuration (e.g. Claude Desktop):
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.