Examples

Real-world use cases

From simple AI agent memory to enterprise knowledge systems — see how MuninnDB fits into real applications.

Beginner ⏱ 10 min

AI Agent Memory (Claude + MCP)

Connect Claude to MuninnDB via MCP so it has persistent memory across conversations. Each conversation reads relevant context and stores new learnings automatically.

1 Install MuninnDB and start the server

2 Run "muninn init" to auto-configure Claude Desktop

3 Claude now has 19 MCP memory tools available

4 It will automatically store and recall relevant memories

#mcp#claude#ai-agent

Intermediate ⏱ 30 min

Go Agent with Cognitive Memory

Build a Go AI agent that stores project context, user preferences, and decision history — with automatic decay so stale info fades and fresh info surfaces.

1 Install the Go SDK

2 Create a vault per user/project

3 Store context on each interaction

4 Activate relevant memories before each LLM call

#go#sdk#ai-agent

Intermediate ⏱ 45 min

Enterprise Knowledge Base

Index your company's decisions, policies, and institutional knowledge. Semantic triggers notify relevant teams when related engrams update.

1 Bulk import existing documentation

2 Enable the enrich plugin for entity extraction

3 Set up triggers for compliance-relevant concepts

4 Connect your internal AI assistant via REST

#enterprise#knowledge#triggers

Advanced ⏱ 1 hour

Research Memory System

Build a research tool that stores paper findings, tracks confidence as evidence accumulates, and surfaces related work when reading new papers.

1 Store each paper as an engram with confidence score

2 Link related papers with explicit associations

3 Update confidence when contradictions are found

4 Activate relevant research before writing

#research#confidence#associations

More examples coming as the community grows.

Contribute an example on GitHub →

Real-world use cases

AI Agent Memory (Claude + MCP)

Go Agent with Cognitive Memory

Enterprise Knowledge Base

Research Memory System

You can start today.