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: everos.evermind.ai

EverOS Open Source v1.6.0 is here. Giving agents memory is only half the job. You also need control over what they keep. With v1.6.0, self-hosted EverOS can delete memories by session or by specific memory IDs. You can scope ID-based deletion to a user, and forget_session now works with self-hosted servers through EverOS MCP. We also hardened background writes so they don’t recreate memory from a source you’ve already deleted, improved recovery after restarts, and added safeguards for large search workloads. github.com/EverMind-AI/EverO…

Raven 🐦‍⬛ v0.2.7 is out. This video walks through one of our favorite additions: Task Board. When several tasks are moving at once, you shouldn’t have to scroll through every conversation to figure out what’s happening. Task Board brings together: • Progress updates inside each conversation • Sub-agent activity and questions that need your input • A cross-session view of what’s running, idle, completed, or waiting on you There’s more in this release: • An agent execution waterfall with session replay • Mid-run reassignment of stuck DAG tasks • Lower RAM usage for built-in product agents • Compressed trace storage • Per-conversation reasoning effort • DeepSeek web search and fetch support • Skill Hub retrieval enabled by default after onboarding Watch the Task Board walkthrough below, and check the upgrade notes for compatibility changes. github.com/EverMind-AI/raven

Raven’s 🐦‍⬛ observability system just got a full rebuild. When an agent team runs a task, the final answer only tells part of the story. Now you can follow the execution timeline, drilling down from Agent → Turn → Step to see: • Which agent is working • What happened at each step • Which tools were called • Where errors occurred A clearer view of how your agents work together, and where to start debugging when they don’t. github.com/EverMind-AI/Raven

Thanks for having us at @RokidGlobal Jungle 2026! On stage, Gary introduced a fitness companion we worked on with Rokid and Fun Pizza, powered by EverMind’s memory. It remembers your habits and workout patterns, so it can offer proactive guidance that’s personal to you, before, during, and after exercise. The more you use it, the better it knows you.

EverOS: Putting the Pieces Together to Find Loved Ones A face, a place, a small detail someone still remembers. When you’re searching for a loved one, those fragments can mean so much. ReUnite is a nonprofit project built with EverOS and an award-winning use case from the Memory Genesis competition 2026. It brings scattered pieces of memory together to help people search for their loved ones. We’re deeply moved by what this team is building. Seeing our community use EverOS for something so human means a great deal to us.

EverOS v1.5.1 is here. A small open-source update for a frustrating problem: memory searches queuing up under load. We increased the default query-embedding concurrency from 4 to 16, giving hybrid and vector search more room to handle concurrent requests. In our five-minute test with 10,020 indexed entries at 10 requests per second: • p95 latency dropped from 101s to 1.45s • All 3,000 requests were served No migration needed, just upgrade. If your embedding endpoint has tight rate limits, tune the concurrency to match. Prefer to build without managing the infrastructure? EverOS Cloud brings managed memory to your existing agent workflows. Save useful context after a task, retrieve it before the next, and give your agents access to user preferences, business knowledge, and past experience through APIs. Start with one recurring workflow and let useful context accumulate across runs. Subscribe to EverOS Cloud Pro now and get 3× the standard monthly usage for your first 3 months. Cloud: everos.evermind.ai

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. everos.evermind.ai

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. everos.evermind.ai

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. everos.evermind.ai

Made it 💛 xitter.twitterapi.xyz/i/trending/21124051532…

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

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. evermind.ai/everos

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. everos.evermind.ai

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: everos.evermind.ai

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: everos.evermind.ai/

EverOS, meet @Muse 💛 Connect EverOS to Muse as a custom connector to save and retrieve context from your projects, past decisions, useful knowledge, and task outcomes. A personal agent, with another memory source to work from. Setup instructions, give this link to Muse: evermind.ai/connectors/muse.…

Love seeing our open-source ambassadors help more developers get started with EverOS and long-term agent memory. Thanks for putting this walkthrough together, @yinmin1987 💛 Maybe Raven 🐦‍⬛ can lend a wing with the next video.

First Daily. Then Weekly. Now Monthly. 💛 Raven 🐦‍⬛ reached #1 on @HuggingFace @HuggingPapers Daily and Weekly Papers, and now tops September’s Monthly Papers list. We’re building the “harness of harnesses”: coordinating specialist agents, preserving experience through EverOS memory, and turning that experience into reusable skills. Open-source code you can run, research you can examine, and a community helping us move forward. Thank you to everyone who read the paper, tried Raven, and supported the project. This means a lot to our team. github.com/EverMind-AI/raven

Thank you for all the love for Raven 🐦‍⬛ v0.2.0, the harness of harnesses, built for RSI. 💛 We kept shipping through China’s National Day holiday, and v0.2.4 is already here. You can now ask Raven to inspect and update its own settings in chat, with approval controls and API keys kept out of the conversation. Plus: unified Connectors, clearer approvals, and workspace diffs. Huge thanks to the team and everyone building with Raven. github.com/EverMind-AI/Raven