Hello, MementoHub
28 de mayo de 2026 · 5 min lectura
Hello, MementoHub
Every developer who has worked with AI coding agents knows the feeling.
You start a new session. The agent is smart, fast, capable. It writes code, fixes bugs, refactors modules. And then the session ends — and everything it learned disappears.
Next session? The agent starts from zero. It asks the same questions. It makes the same mistakes. It re-reads the same files it already read three times before.
The agent forgot. And there was nothing you could do about it.
Why Memory Matters
Think about how you work as a developer. You do not re-learn your codebase every morning. You carry context in your head — architecture decisions, bug fixes you applied, conventions your team follows, gotchas you discovered the hard way.
That context makes you faster. It prevents you from making the same mistake twice. It lets you pick up where you left off.
AI agents deserve the same advantage.
What Memento Does
Memento is a persistent memory system designed specifically for AI coding agents. It gives agents a brain that survives across sessions, projects, and collaborators.
Three steps:
┌──────────┐ ┌──────────┐ ┌──────────┐
│ │ │ │ │ │
│ Save │────▶│ Sync │────▶│ Share │
│ │ │ │ │ │
└──────────┘ └──────────┘ └──────────┘
Save — The agent saves observations locally: a decision it made, a bug it fixed, a non-obvious discovery about the codebase.
Sync — Push and pull to the cloud. Changes propagate automatically.
Share — Team members see changes. Memory becomes collective knowledge.
Under the hood, Memento uses SQLite with FTS5 full-text search, giving your agent millisecond-level recall across thousands of observations.
Built for the Tools You Already Use
Memento integrates natively with the MCP protocol (Model Context Protocol), which means it works out of the box with:
- Claude Code and Claude Desktop
- Cursor
- OpenCode
- Any MCP-compatible AI tool
No custom plugins. No vendor lock-in. Just a persistent brain that follows your agent wherever it works.
Open Source at the Core
Memento Core, MCP Server, and CLI are open source. You can inspect the code, run it locally, and self-host. Your data stays on your machine until you decide to sync.
The architecture is intentionally simple — a few tables, a clean API, and a philosophy that memory should be structured, searchable, and durable.
memento save "Fixed N+1 query in UserList" \
--type bug \
--topic-key "performance/user-list"
memento search "N+1 query"
# Found: Fixed N+1 query in UserList (5m ago)
memento sync push
# Pushed 3 observations to cloud
memento sync pull
# Pulled 7 observations from team
What We Are Building Toward
MementoHub is the next step. A platform where memory is not just personal — it is shared, discoverable, and collaborative.
We are working on:
- Cloud Sync — Seamless push/pull across devices and teams
- Team Memory — Shared project knowledge that everyone benefits from
- Smart Search — Semantic and hybrid search across all your observations
- Session Continuity — Pick up exactly where your agent left off, days later
Why We Are Writing This Blog
We believe in building in public. Not just shipping features, but explaining the thinking behind them. The architecture decisions. The mistakes. The surprises.
This blog is where we will share:
- Architecture — Design patterns and technical decisions
- Engineering — Implementation details and devlogs
- AI & Agents — What we learn about working with AI coding agents
- Building — Product progress and lessons learned
- Release — Changelogs and new features
If you are building with AI agents — or just curious about how memory changes the way agents work — subscribe and follow along.
Welcome to MementoHub. Let's give AI agents a memory worth having.