iai-personal-memory-engine / setup / langgraph
Setup guide
Set up iai-personal-memory-engine in LangGraph
communityunknownunknownno verified config · noindex
MCP memory server for AI coding assistants. Works with Claude Code, Cursor, Codex, Gemini CLI, Cline, Continue, Cherry Studio, Zed, Hermes, OpenClaw, and any MCP client. Local, encrypted, verbatim recall. MIT.
01Configuration
# iai-personal-memory-engine via LangGraph
# transport: unknown
# launch: the server's install method
LangGraph connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.
02Steps
- Make sure LangGraph is installed and up to date.
- Wire the server into LangGraph using its MCP client API.
- Provide any required API keys/credentials as environment variables.
- Restart LangGraph and confirm iai-personal-memory-engine’s tools appear.
03Other runtimes
04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-29 07:50Z
sourcesGitHub repo search [p4]
Next step
Ship iai-personal-memory-engine to your agents as a governed Loadout — config, scopes, and approval rules in one place.
Build a LoadoutSee also: server page · is it safe? · alternatives