Echo FAQs

Question 1

What kind of data can Echo store for AI agents?

Accepted Answer

Echo can store contextual memories like architectural preferences, project-specific snippets, frequent instructions, and any other relevant information. It enforces strict data contracts, including 8KB content limits and metadata validation.

Question 2

What are the core features Echo provides to AI agents?

Accepted Answer

Echo offers contextual recall based on project or global preferences, persistent logic with high-concurrency SQLite, XDG compliance for standardized memory storage, a reproducible environment with Nix/Makefile, and high integrity with strict data contracts.

Question 3

Can I audit or inspect my AI's memories stored by Echo?

Accepted Answer

Yes, since Echo uses a standard SQLite database, you can directly audit your AI's memories from your terminal using the `sqlite3` CLI tool. This provides full transparency into what your AI has learned.

Question 4

How does Echo ensure long-term memory and context retention?

Accepted Answer

Echo uses a local SQLite database with WAL (Write-Ahead Logging) mode to store memories. This allows AI agents to automatically inherit established project preferences and instructions in all future sessions, even if the LLM process restarts.

Question 5

What is Echo and how does it help AI agents?

Accepted Answer

Echo is a Model Context Protocol (MCP) server that gives AI agents a persistent, contextual 'brain.' It bridges stateless LLMs with local SQLite, enabling them to store and recall architectural preferences and project-specific instructions across sessions.

Echo

Echo

Key Features

Use Cases

Key Features

Use Cases