Every eng team working with agents now has the same problem: documentation is outdated the moment it's written. So we made it self-updating. Hivemind already turns your coding agents' traces into skills. Now that same pipeline maintains your docs. As your agents learn, your documentation stays current. Because everything traces back to source, two things get dramatically easier: • If you get a new team member, they onboard on docs that reflect how things work today. • Something sticky happens with an agent? See exactly what led to the choices it made. Get started with Hivemind and stop manually shuffling with docs today.

We have 3 new updates to Hivemind that are in service of our mission: making organizational agents more cost efficient and effective. 1. Proactive search experience for Claude Code + Cursor. After each user prompt, Hivemind automatically searches for relevant stored traces from the past and passes them to the agent as additional context. This improves reasoning and output. 2. Ability to share skills across teams and devices. Skill sharing is a simpler feature: it syncs the skills a user already has in their system through Deeplake, so everyone on the team can access them. Previously, we were more focused on generating and improving skills. This is about sharing existing skills across the team. 3. Ability to create and assign goals. Any teammate can create and assign goals to another that can persist across sessions until marked completed. Agents can automatically reason when the goal has been reached, and will notify the creator of the goal automatically. All of these new features work to level up your team, reduce errors and redundant work and lower AI token spend. Get set up with one command line install.

Hivemind just crossed 250 stars on github 2K weekly downloads on NPM. 🚀 Connect coding agents to a shared brain > Collect traces into deeplake > Auto-optimize skills > Share across agents, machines and teammates Your agents continuously learn from each other's experience. Get them to compound your intelligence.

Hivemind just crossed 100 stars on github 🌟 github.com/activeloopai/hive… Beyond memory. Let's compound intelligence!

🚀 New free course! Build multimodal #HealthcareAI with Deep Lake. From radiology to drug discovery, integrate text, images & more with LLMs + AI search.

Launched Activeloop L0 on @ycombinator. L0 turns multimodal documents into cited answers with state-of-the-art accuracy. Check out the link below!

We've Launched Deep Lake 4.0 at RetrieveX on October 17th, with 200+ AI Data Leaders from companies like Bayer, Tesla, Ally Financial, LinkedIn, Adobe, Walmart, Netflix, DoorDash, RingCentral, Zendesk and more attending. It was a blast! AI data retrieval systems today face 3 challenges: limited modalities, inaccuracy, and high costs at scale. Deep Lake 4.0 fixes this via true multi-modality, higher accuracy, and slashing query costs by 2-10x with our unique index-on-the-lake technology. But also, the conference was packed with amazing talks from: Armen Aghajanyan from @AIatMeta / FAIR presenting his learnings from training Meta Chameleon and his thoughts on the future of multi-modal LLMs and RAG. Rob Ferguson, Head of AI, Microsoft for Startups presenting who and why leads in retrieval augmentation. @aronchick , CEO @ExpansoIO and Co-Creator of Kubeflow and Bacalhau presenting on executing one's models wherever your data and users are. Steffen Vogler, @Bayer, presenting the next-gen approach to AI in Healthcare. Ian Trase, @FlagshipPioneer, presenting how the company's Flagship Pioneering arm makes big leaps in scientific research with GenAI. @jiayq, Founder @LeptonAI and co-creator of @PyTorch and CAFFE, presenting on building enterprise-ready LLMs. @sdianahu, Group Partner at @ycombinator, moderating a panel on scaling efficiently in the age of GenAI with HerculesAI CTO Gevorg Karapetyan and @omneky CEO Hikari Senju. Sazzadur Rahman, @spotterstudio, presenting optimizing content creation on YouTube for contextual search with up to billion-scale search. @viglovikov , CEO and Creator of @albumentations , presenting efficient data augmentation in vision AI during his practical workshop. Vivek Gangasani, @awscloud, presenting how to use Bedrock for GenAI and combine it with Activeloop Deep Lake to improve Retrieval Kelly Peng, Kura founder, presenting on building multi-modal AI that sees, remembers, generates. Bill Sun, Generative Alpha, presenting AI trader with reasoning capabilities powered with GenAI. @activeloop with @khustup and @MikayelHarut presenting sub-second, multi-modal AI search on object storage. Major thanks to our sponsors at @awscloud, @intel, and @Microsoft for supporting our vision and the event!

When it comes to healthcare AI, mistakes matter. Whether it's real-time surgical assistant error, bias in MRI scans, or incorrect information taken as input for drug discovery, mistakes can cost a lot of wasted budget on a wrong compound, or even lives. (If you're a Data Leader in AI - apply today via this link and we may grant you a complimentary ticket! retrievex.co/application) @Bayer and Steffen Vogler's team, as well as Ian Trase's team at @Flagship_PI / @FlagshipPioneer are addressing these challenges together with Activeloop by focusing on retrieval for AI. Both are presenting at RetrieveX next week! Join RetrieveX, the Conference for AI Data Leaders on October 17 to learn more. #LLMs #RAG #AI

RetrieveX is coming in 2 weeks on Oct 17 in SF - and it will be 🔥 Join the creators of Meta LLama, PyTorch, CAFFE, Kubeflow, and leaders from Microsoft, AWS, Bayer, YCombinator at the best Retrieval for AI Conference. Get a 2 for 1 deal until Oct 7! retrievex.eventbrite.com