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New engineers often waste days hunting for “why we made that architecture choice” or “what we already tried last quarter.”
I tested EverOS Cloud with one real task: saving and retrieving context from a past troubleshooting note.
I connected through the EverOS Cloud console and used the Chat Interface Playground. I saved a short note about a previous interface issue (“login button failed on mobile after the last deploy — fixed by clearing cache and checking the auth header”).
Before starting a related follow-up task, I retrieved that context. The returned memory included the earlier issue and the fix that worked. I then checked Memory Bank to browse the saved entry.
In this test I demonstrated saving and retrieving User Memory. I did not create an agent Case or Skill, so I am distinguishing those capabilities from what I verified. Memory Bank was used only for browsing; correcting, deleting, or rating entries is done through the API.
What I observed: the saved context came back clearly when retrieved, which makes it practical to carry relevant history into the next task instead of starting from zero.
Subscribe to Pro now and get 3× your monthly usage allowance for 6 months → everos.evermind.ai
🤝 Paid partnership
AI Girl retweeted
You fixed a tricky interface bug last week.
Can your agent actually remember the steps and context when a similar issue appears again?
I tested EverOS Cloud to see if past troubleshooting context can be saved and pulled back before the next task.
The screen recording shows the flow.
🤝 Paid partnership
AI Girl retweeted
Most agents forget past decisions the moment a new chat starts. I wanted to see if EverOS Cloud could hold onto one and bring it back later. For a sample internal tool I recorded these constraints:
- Use Postgres
- Keep monthly cloud spend under $120
- A $200 managed database option was rejected
- Only reconsider if traffic justifies the extra cost
In a new session I asked for database recommendations. The retrieved memory included the earlier choice and budget limit, and the suggestion stayed inside those boundaries. No need to re-explain the decision.
An AI learning app is shaped by what happens between the prompt and the answer.
Does the learner get to think something through—or does the system simply finish the task?
Gakku is built around that interaction: helping learners develop ideas while staying involved in the work. 🧵
A learning path with room to follow a question
Gakku’s Lesson Maps give learners focused missions and a sense of progression.
The Cabin provides space to explore topics beyond a set lesson. One offers a path; the other leaves room for curiosity.
Together, they give learners structure while letting their questions help shape the experience.
Keep the learner doing the learning
Explore Gakku: gakku.ai
Raku can guide, prompt, and help learners organize their ideas. The learner still needs to speak, choose, revise, and create.
That’s the product idea behind Gakku: AI can support the learning process while leaving the learner actively engaged in it.
The Memory Bank view makes it feel practical. You can browse what was stored, correct it, delete it, or rate it through the API.
It’s not a black box, and the same API works whether you stay on Cloud or move to self-hosted later.
everos.evermind.ai
#EverMind #EverOS
AI agents need more than a good prompt. They need memory.
I tested EverOS Cloud with a fictional e-commerce debugging scenario. First, I saved the debugging experience. Later, I searched for it with a different question and retrieved the earlier context, including the suggested fix and regression test.
That’s the value of persistent memory in AI workflows: experiences can be saved and retrieved when they’re needed again.
Try EverOS Cloud: everos.evermind.ai/login
#EverMind #EverOS
AI Girl retweeted
AI agents need more than a good prompt. They need memory.
I tested EverOS Cloud with a fictional e-commerce debugging scenario. First, I saved the debugging experience. Later, I searched for it with a different question and retrieved the earlier context, including the suggested fix and regression test.
That’s the value of persistent memory in AI workflows: experiences can be saved and retrieved when they’re needed again.
Try EverOS Cloud: everos.evermind.ai/login
#EverMind #EverOS
🤝 Paid partnership
AI Girl retweeted
Your next AI upgrade might be something you can hold.
Meet SlashVibe, a physical controller for your AI agents.
See agent status at a glance. Switch between agents with a flick. Speak your next instruction.
Keep your agents moving with less window juggling and fewer interruptions.
Coming to Kickstarter October 27.
Get Early Bird Access → slashvibe.ai/
Most voice-to-agent setups either miss the first word or force you to babysit the mic.
The concept of a close-range, low-latency button that just starts recording cleanly is what caught my attention here.
Less friction on the input side means you stay in the task instead of fighting the interface.
Check the launch video for how they show it.
🤝 Paid partnership
Your next AI upgrade might be something you can hold.
Meet SlashVibe, a physical controller for your AI agents.
See agent status at a glance. Switch between agents with a flick. Speak your next instruction.
Keep your agents moving with less window juggling and fewer interruptions.
Coming to Kickstarter October 27.
Get Early Bird Access → slashvibe.ai/
AI Girl retweeted
Claude + Kling AI = A seriously powerful AI workflow.
One helps you turn ideas into strong concepts.
The other turns those concepts into cinematic visuals.
Here’s how I’d use them together. 👇🧵
AI Girl retweeted
the “from concept to delivery” part really caught my attention.
taking an idea, refining it again and again, and eventually turning it into something people can actually experience—that process is what stood out to me.
Got to help @harvey bring their first brand commercial to life.
From concept to delivery in ~1 month and set to Ludacris’ “Stand Up.”
Agreements make history.
AI Girl retweeted
35 WEBSITES GOOGLE DOESN'T WANT YOU TO KNOW
1. Explee .com — sends cold emails on autopilot explee.com
2. NoteGPT — turns docs into podcasts notegpt.io
3. Napkin AI — turns text into diagrams napkin.ai
4. Ideogram — generates text in images perfectly ideogram.ai
5. Suno — makes full songs from a prompt suno.com
6. HeyGen — clones your face into videos heygen.com
7. Kling AI — best AI video generation klingai.com
8. ElevenLabs — clone any voice instantly elevenlabs.io
9. Gamma — AI presentations in seconds gamma.app
10. Perplexity — AI search with real sources perplexity.ai
11. Pika — animate any image into video pika.art
12. Runway — cinematic AI video generation runwayml.com
13. Cursor — AI code editor that builds for you cursor.com
14. v0 — generate UI components with AI v0.dev
15. Lovable — turn ideas into working apps lovable.dev
16. Descript — edit video by editing text descript.com
17. Opus Clip — auto cut long videos into shorts opus.pro
18. Krea AI — real time AI image generation krea.ai
19. Magnific — upscale any image with AI magnific.ai
20. Viggle — make characters move realistically viggle.ai
21. tl;dv — record and summarize any meeting tldv.io
22. Fireflies — AI meeting notes automatically fireflies.ai
23. Castmagic — turn audio into content pieces castmagic.io
24. Replit — code and deploy from browser replit.com
25. Leonardo AI — generate images for free leonardo.ai
26. Synthesia — AI avatar videos no camera needed synthesia.io
27. Fliki — turn text into videos with AI fliki.ai 28. Photoroom — AI product photography photoroom.com
29. Invideo AI — turn prompts into full videos invideo.io
30. Consensus — search what science agrees on consensus.app
31. SciSpace — understand any research paper scispace.com
32. Tome — AI builds your pitch decks tome.app
33. Beautiful AI — smart presentation design beautiful.ai
34. Meshy — turn text into 3D models meshy.ai
35. Vizcom — turn sketches into renders vizcom.ai
The AI revolution isn't coming.
It already happened and you missed half of it.
AI Girl retweeted
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