Welcome to Logos - persistent, local-first memory and continuity for AI agents

[Coder8124]

Welcome to Logos

Logos is a local-first memory and context layer for AI agents.

When I started making this, the goal was simple: agents should not make you repeat your projects, preferences,
constraints, and prior decisions every time a new session begins. Logos stores and
retrieves relevant context so compatible desktop agents can work with more continuity,
while keeping users in control of what is remembered.

Current status

Logos is currently in early beta, with version 0.5.0 in progress.

The core desktop-agent workflow is working, but this is still an early project. Setup
may be rough, retrieval can fail, and some behavior will change as we learn from real
users.

How you can help

We would especially value feedback on:

1. Installation and onboarding
2. MCP/client configuration
3. Whether Logos retrieves the right context at the right time
4. Incorrect, stale, duplicated, or missing memories
5. Privacy expectations and controls
6. Workflows where persistent agent memory is genuinely useful
7. Documentation that is unclear or incomplete

Where to post

• Questions/setup help: use the Q&A category
• Feature ideas: use Ideas
• Bug reports: open a GitHub Issue with reproduction steps, logs with sensitive
  information removed, and your Logos/client version
• General feedback: use Feedback
• Integrations or projects built with Logos: use Show and Tell

Privacy reminder

Please do not post passwords, API keys, private keys, tokens, confidential code,
medical information, or other sensitive personal data in discussions or issues.
Redact logs before sharing them.

A good first reply

If you are trying Logos, introduce yourself and share:

• What agent/client you use
• What you want the agent to remember
• The workflow you hope Logos improves
• What feels confusing, broken, or unexpectedly useful

Thanks for trying an early version of Logos. Feedback is what makes all projects better.

[Coder8124]

First beta question

What is one piece of context you repeatedly have to constantly re-explain to an AI agent that
you wish it would remember correctly?

Examples:

• Project architecture or codebase conventions
• Personal preferences
• Ongoing tasks and deadlines
• A preferred writing or coding style
• Prior decisions and their reasoning

Please describe the workflow, not sensitive content. I am especially interested in
what “remembering correctly” would look like for you.