Build the context layer first.
Then let agents run on top of it.
Memoire is not just docs search. It is shared memory, version-aware retrieval, prompt assembly, and the operator surface that makes systems like Memi usable in real teams.
npm install -g memoire-ai memoire auth login memoire mcp start memoire index docs # then connect Cursor / Claude Code / Codex # then layer Memi on top for Slack execution
Get running fast
Install the CLI, connect your workspace, and verify shared memory is available across your coding tools in a few minutes.
- >CLI install and local setup
- >MCP connection for Cursor, Claude Code, and Codex
- >Team onboarding and workspace bootstrapping
Ground answers in real context
Index project memory, dependency-aware docs, and reference sources so retrieval stays current instead of drifting on stale model priors.
- >Memory search and prompt assembly
- >Version-aware documentation indexing
- >Shared context across agents and teammates
Operate Memi in production
Understand the procedure engine, governed memory, connector flows, and dashboard surfaces that turn Memoire into a usable AI engineering system.
- >Slack-first task execution
- >Governed memory and phase-aware retrieval
- >Observability, auditability, and deployment posture
Pick the path that matches how you work
The platform has three entry points: local developer setup, retrieval infrastructure, and Memi as the operator layer.
Install Memoire
CLI install, local config, MCP setup, and the fastest path to getting retrieval live in your editor.
OPEN ↗Use the dashboard
Inspect memory health, add connectors, manage secrets, and monitor the shared context layer from one place.
OPEN →Explore Memi
See how the memory layer turns into a Slack-native engineering workflow with procedures, planning, and governed context.
OPEN →What the docs should help you understand
Memoire is strongest when you treat it as infrastructure, not a one-off prompt enhancer.
Shared memory model
Persistent memory, session continuity, retrieval ranking, and why multiple clients can safely share one context backend.
OPEN ↗Version-aware docs
Dependency detection, exact-version reference retrieval, and how docs are combined with memories at answer time.
OPEN →Enterprise operation
Security posture, deployment options, governed retrieval, and operational controls for serious engineering teams.
OPEN →The shortest useful path from zero to shared context
Install the Memoire CLI and connect it to your workspace.
Point your editor or agent client at the Memoire MCP server.
Index memory and docs so retrieval has real project material to work with.
Use the dashboard to inspect sources, search quality, and operational health.
Layer Memi on top when you want Slack-native task execution and governed memory flows.