We are building the memory layer
for AI-native engineering
Memoire gives AI coding agents persistent memory, shared context, and version-aware documentation so every session starts where the last one left off.
Shared memory, retrieval, and operator tooling for AI engineering
Agents need continuity across sessions, people, and tools
Open infrastructure with practical product surfaces on top
AI agents forget everything between sessions. We fix that.
Every engineering team using AI coding agents faces the same problem: context evaporates. You explain your architecture, conventions, and preferences in one session, and the next session starts from zero. Multiply that across a team of ten engineers using three different AI tools, and you are burning thousands of hours per year on re-explanation.
Memoire captures what matters from every AI session, enriches it, and serves it back when the context is needed. Whether your team uses Cursor, Claude Code, Windsurf, or Codex, they all share one memory backend. The result: agents that get smarter over time, code that stays consistent, and engineers who spend their time building instead of repeating themselves.
What we believe
We want AI engineering infrastructure to be inspectable, composable, and useful in the ways real teams actually work.
OPEN SOURCE FIRST
Our core memory system is AGPL-3.0. We believe the infrastructure that powers AI agents should be transparent, auditable, and community-driven.
DEVELOPER EXPERIENCE
Every feature ships with a CLI command, an MCP tool, and a dashboard view. If it takes more than 60 seconds to set up, we failed.
PRIVACY BY DEFAULT
Your code context stays yours. Self-host the entire stack, strip PII before it hits any LLM, and audit every memory access.
COMPOUND INTELLIGENCE
AI agents that remember get better over time. We are building the infrastructure to make that compound learning possible across your entire team.
Our journey
The product is evolving quickly, but the throughline has stayed the same: make context accumulate instead of evaporate.
Join us in building the future of AI-native engineering
If you care about shared context, better retrieval, and more trustworthy agent workflows, this is the layer we are building.