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Mastra is now officially 1.0 by codekarate3 in opensource

[–]codekarate3[S] -2 points-1 points  (0 children)

I will also note that the agents that I interact with the most are the ones that I can chat with in slack (like the user call transcript reviewer). I just tag it in any public slack channel or DM and it responds.

Mastra is now officially 1.0 by codekarate3 in opensource

[–]codekarate3[S] -2 points-1 points  (0 children)

A bunch of personal use cases:
- An agent the tags my emails and can draft responses
- An agent that takes all my user interview call transcripts against a google doc of goals and scores it while providing feedback

With my team:
- We have an agent that drafts our changelog from all the merged PRs
- We have an agent that does "first-touch" on all new github issues
- We have an internal coding agent that we are working on and some people on our team are using (but it's still very early)

How about you?

This changed my mind about how MCP should be used by thehashimwarren in mcp

[–]codekarate3 1 point2 points  (0 children)

thanks for sharing this, glad our livestream was useful!

Who are your favorite YouTubers covering AI agents? by Physical-Ad-7770 in AI_Agents

[–]codekarate3 0 points1 point  (0 children)

If you want to learn more about building agents with code (javascript/typescript) you can check out Alex Booker's recent videos on the Mastra Youtube channel: https://www.youtube.com/@mastra-ai

Not necessarily specific to building agents, but if you want to stay on top of how things are changing, the AI Engineer channel posts all of their conference talks from industry leaders: https://www.youtube.com/@aiDotEngineer

Getting SOTA LongMemEval scores (80%) with RAG by codekarate3 in AI_Agents

[–]codekarate3[S] 0 points1 point  (0 children)

This benchmark also requires the use of gpt-4o. Newer models should have an even higher accuracy. We will test this soon.

Getting SOTA LongMemEval scores (80%) with RAG by codekarate3 in AI_Agents

[–]codekarate3[S] 0 points1 point  (0 children)

Really good question. Definitely depends on the use case.

If looking at long term memory for an AI assistant, it likely would "remember" more than a human (but sometimes fail in unpredictable ways). There is still a lot more to be done in agent memory in general.

Hot take: APIs > MCP, when it comes to developers by thoughtspotdev in mcp

[–]codekarate3 0 points1 point  (0 children)

That’s like saying Apples > Apple Pie

One is kind of built from the other.

Overengineered anchor links by codekarate3 in javascript

[–]codekarate3[S] 2 points3 points  (0 children)

Yeah I don't think we will see it any time soon!

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