We just shipped Second Brain 3.4.0, and since the last Product Hunt update was 3.0, I wanted to share what has changed.
The biggest addition in 3.4 is Projects.
If you use AI across different products, clients, codebases, or areas of your life, one giant pool of memory can get messy fast. Projects let you keep related memories together, so your AI can pull from the right context without you having to explain everything again.
Spent the last stretch wiring MCP servers into an agent product instead of hand-building every integration. The pitch is great in theory: paste a URL, click connect, tools show up as a checklist.
In practice it's been a mixed bag. Some servers are exactly as plug-and-play as advertised. Others expose tools that don't match how the underlying API actually behaves, so the agent confidently calls something that returns garbage, and you don't find out until you're debugging why a real user got a wrong answer.
Ended up hand-building the connectors that really matter (the ones where getting the semantics wrong costs someone money) and using MCP purely for the long tail where "mostly works" is good enough.
Anyone else gone deep on MCP servers? Curious if others found the same gap between the demo and production, or if I just hit unlucky servers.
Meridian is an open-source, MIT-licensed, local-first AI work journal. It runs on your device, captures work that often gets forgotten, and drafts clear worklogs and project updates for you to review and approve.
If you believe productivity tools should help people make their work visible without becoming surveillance software, please support Meridian on Product Hunt. We would also value your honest feedback on what works, what feels unclear, and what we should build next.
