engram-core 0.21.1

AI Memory Infrastructure - Persistent memory for AI agents with semantic search
Documentation
# Engram Examples

These examples show how Engram fits into common agent ecosystems without
overstating support.

## Native Examples

- [Claude MCP]claude-mcp/ - configure Engram as a Claude Code MCP memory server.
- [Cursor MCP]cursor-mcp/ - use Engram from Cursor through `.cursor/mcp.json`.
- [CrewAI memory]crewai-memory/ - use the Python SDK's CrewAI memory adapters.

## Integration Patterns

These ecosystems can benefit from Engram through MCP, HTTP JSON-RPC, or the SDKs,
but they do not have first-party adapters in this repository today.

- [OpenAI Agents SDK]openai-agents-sdk/ - persist agent facts and decisions via HTTP.
- [FastMCP server]fastmcp-server/ - call Engram as a separate memory service.
- [LangGraph tool]langgraph-tool/ - use Engram search/create calls from graph nodes.

## What These Examples Are Not

- They are not a promise that every ecosystem has a native adapter.
- They are not production auth, tenancy, or backup templates.
- They are starting points for wiring Engram into an agent workflow.