EverMind

Long-term agent memory | self-improving | agent harness

[EverMind @evermind]

Meet EverOS Cloud. 💛

Your agent shouldn’t have to start from scratch every time a conversation ends.

The preferences a user shared. The decisions made during a project. The approach that worked on a previous task. That context should be available when it matters again.

EverOS Cloud gives your agents persistent memory through an API:
• Remember users and retrieve relevant context across sessions
• Turn task experience into Cases and reusable Skill memories
• Bring conversations, images, and documents into your memory workflow

You build the agent experience. We handle the memory infrastructure, so you can spend less time maintaining the stack and more time making your product useful.

Subscribe to EverOS Cloud Pro and get 3× the standard Pro usage allowance for 6 months.

Start here:
https://t.co/BSmwSpwJij

[EverMind @evermind]

Agent Memory: An AI Companion That Reaches Out First

You mention your coffee preference once. In a later conversation, she remembers.

OpenHer shows how memory can make an AI companion feel more familiar over time.

In this demo, Iris remembers “black, no sugar” and sends a morning message without waiting for you to start the conversation.

EverOS provides the long-term memory behind those remembered details.

OpenHer combines that history with its own personality and proactive messaging systems, so conversations can develop beyond the first introduction.

OpenHer is one example of what you can build with EverOS. Bring persistent memory to your own application with EverOS Cloud.

EverOS Pro users get 3X usage for 6 months.
https://t.co/u0X6kA6ANg

[EverMind @evermind]

Agent Memory: Your Team’s Experience, Put to Work

Your agent can search the company handbook. Can it also remember what worked on the last support ticket?

Consider a request: “Refund this customer and close the ticket.”
Getting it right takes more than finding a document:

User Memory captures working preferences: the support lead wants refunds over $500 flagged for review and a short summary afterward.
Agent Memory brings back relevant experience from previous tasks.

Recorded Cases can help inform the next run, while reusable Skills capture approaches that have worked repeatedly.

The Knowledge Base provides the business reference: refund windows, approval limits, and account ownership.

With EverOS Cloud, we’re bringing these together so teams can give agents relevant context before a task and save useful experience afterward, through APIs that fit into existing workflows.
Start with one recurring task. Give your agent something to build on next time.

Subscribe to EverOS Cloud Pro now and get 3× the standard monthly usage for your first 3 months.

https://t.co/u0X6kA6ANg

[EverMind @evermind]

@Charles__Kira 🌒 ♾️ 💛

[aloha @alohaproxy]

I tested @evermind’s EverOS Cloud by giving an AI agent something important to remember: a project decision.

For my fictional SpendWise app, I saved:
→ PostgreSQL as the database
→ Infrastructure budget under $100/month
→ A managed database at ~$180/month rejected for exceeding the budget
→ Reconsider only if traffic or operational needs justify the cost

Then I opened a fresh session and searched EverOS for that decision. It retrieved the saved episode and profile, and the next-step recommendation respected those constraints, without resending the original decision.

That’s persistent memory in action: save context once, retrieve it later, and use it to inform the next task.

[Joshua Guo @jshguo]

EverOS Cloud × Claude Code 🧵

Claude Code built this living blueprint in Three.js: ink shaders on cyanotype paper, stage-by-stage GPU assembly, 17 vehicle kinds.

EverOS Cloud turned what it learned into self-evolving skills that any agent, not just Claude Code, can recall.

[EverMind @evermind]

@jshguo Cooool.

[EverMind @evermind]

@RokidGlobal Way to go together 👓 + 🧠

[EverMind @evermind]

@sashikantsingh_ @RokidGlobal You bet~

[EverMind @evermind]

Agent Memory: A Real-World Use Case on Rokid AI Glasses

Your next conversation with your AI glasses shouldn’t start from zero.

A community builder has brought EverOS Cloud to @RokidGlobal glasses, giving a wearable assistant a memory that carries across conversations.

As you use it, saved details and preferences can help it respond with more relevant context, without making you explain everything again.

We love seeing our community bring long-term memory into everyday life, on devices you can actually wear.

Build something of your own. Subscribe to EverOS Cloud Pro now and get 3× the standard monthly usage for your first 6 months.

https://t.co/BSmwSpwJij

[Sashi @sashikantsingh_]

Every AI I use eventually forgets what I'm building. Chat gets too long, or I'm re-explaining the whole project from scratch

Tried @EverMind's EverOS Cloud. Went through the docs and liked how it organizes context into profiles, episodes, and a Memory Bank.

Built a small chat app on its APIs. Real use case:

I'm building a student resume portal for my college. Students showcase skills and resumes, alumni search by skill, review profiles, and find people for referrals and collabs.

Video shows the workflow and the Memory Bank 🚀

Tired of starting from zero? Check it out:

https://t.co/PLONufWrZ9

[EverMind @evermind]

Made it 💛

https://t.co/G7NzOgjPs0

[EverMind @evermind]

Some guide. Some build. Some create. Some spread the word.

Together, you keep our open-source projects moving forward.

To our advisors, builders, creators, and evangelists.

Thank you for being part of the EverMind Open-Source
Ambassador community.

Your time, ideas, and contributions mean a lot to us. 💛

@li9292 @Tz_2022 @xiqingongzi @hylarucoder @OipsAnthony @yinmin1987 @t20000622yy @Av1dlive

[EverMind @evermind]

@yumi_2333 @Jason_Young1231 我认为有 🫰

[EverMind @evermind]

EverOS open-source v1.4.2 is here.

This release tackles problems that show up when memory servers keep running:

• Fixed a file-descriptor leak in long-lived indexes
• Separated query embeddings from background writes, so searches don’t queue behind ingestion
• Fixed cross-project index overwrites, your Markdown memories were never affected

Upgrade: pip install --upgrade everos

Check the release notes before upgrading: Milvus and certain multi-project deployments require an index rebuild.

Prefer managed memory infrastructure?

Build with EverOS Cloud.

https://t.co/d3OWzdjZ1f

[EverMind @evermind]

Your agent finished the task. What should it keep for next time?

Not just the conversation, the approach that worked.

EverOS captures task execution as Cases and consolidates recurring successful approaches into reusable Skill memories. Agents can retrieve those procedures when a similar task comes up.

Memory for what happened. Skills for how to do it again.

Build with EverOS Cloud. We handle the memory infrastructure, you focus on your agent.

https://t.co/BSmwSpwJij

[EverMind @evermind]

Trying a new personal agent is exciting. Uploading the same documents and explaining your work all over again is less exciting.

Over time, your agent picks up the small things: how you like things written, what your project is about, which decisions you’ve already made. Moving that context elsewhere takes work, and some of it gets lost along the way.

With EverOS, we’re giving that context a place to grow across supported agents. Save your conversations, documents, and useful knowledge, then connect your agents to the same memory source.

We recently shared how to connect EverOS to Muse. You can start building your own memory today and keep adding to it as your work evolves.

Sign up for free: https://t.co/u0X6kA62XI

[EverMind @evermind]

In case you missed it: EverOS open-source v1.4.1

The 1.4 series brings native Windows support, faster memory retrieval, and more reliable indexing. The v1.4.1 patch fixes a dependency issue affecting fresh installs.

Building an agent that needs to remember users, retrieve past context, and reuse lessons from previous tasks?

EverOS Cloud provides managed memory through an API, with support for conversations, images, and documents. We handle the memory infrastructure so you can focus on your product.

Start building for free:

https://t.co/NSF9zpsM8P