Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All...

423,696 görüntüleme • 4 ay önce •via X (Twitter)

67 Yorum

Davit profil fotoğrafı
Davit4 ay önce

Hivemind works better with teams. Earn $20 credit when you invite a friend to your org on Hivemind. They’ll get $15 worth of credit to capture traces to.

Davit profil fotoğrafı
Davit4 ay önce

Here is the source, please star it!

Chubby♨️ profil fotoğrafı
Chubby♨️4 ay önce

Really promising results! Love it

Davit profil fotoğrafı
Davit4 ay önce

thanks @kimmonismus for the support! very excited for this release!

Chubby♨️ profil fotoğrafı
Chubby♨️4 ay önce

You are welcome ! All the best

Jaymin Shah profil fotoğrafı
Jaymin Shah4 ay önce

Most teams are accumulating agent data. Very few are converting it into institutional knowledge. Hivemind bridges that gap 🚀 Congrats @DBuniatyan bro

Davit profil fotoğrafı
Davit4 ay önce

thanks bro! you can fine tune your own local LLM and cut 90%+ of Anthropic/OpenAI bill on the same traces.

Charly Wargnier ♨️ profil fotoğrafı
Charly Wargnier ♨️4 ay önce

Really cool build, and AFAIK, a pretty unique approach too. big thx to the team for keeping it open source :)

Davit profil fotoğrafı
Davit4 ay önce

🦾🦾🦾

shirish profil fotoğrafı
shirish4 ay önce

This is how you build real organizational intelligence in the agent era.

Tuki profil fotoğrafı
Tuki4 ay önce

This is the first time I've seen coding agents feel less like isolated tools and more like a shared learning system.

Davit profil fotoğrafı
Davit4 ay önce

@TukiFromKL would love to get your thoughts on how it works for you!

Shruti profil fotoğrafı
Shruti4 ay önce

This is really cool. Most developers don't get the results they want from agents. It's rarely the model issue. It's that the agent has no context for how your team actually works. What you've built here changes that.

Kamo profil fotoğrafı
Kamo4 ay önce

Great tool not only for fixing agents' amnesia but also for teams running multiple agents who can't share the knowledge. With SkillOpt and Knowledge graph, Hivemind will be every company's superintelligence in the near future.

Davit profil fotoğrafı
Davit4 ay önce

@KamoAghbalyan great job @KamoAghbalyan and @efenocchi1 leading the daily releases!

Alex Prompter profil fotoğrafı
Alex Prompter4 ay önce

This is probably the next big layer for dev teams using agents daily: shared memory, reusable skills, continuous improvement.

Michael Sutyak profil fotoğrafı
Michael Sutyak4 ay önce

The SkillOpt implementation really is a game changer.

Davit profil fotoğrafı
Davit4 ay önce

fully agree it has been already useful for us internally!

Adel Bucetta profil fotoğrafı
Adel Bucetta4 ay önce

the honest answer is that most teams still struggle to reuse code between these agents. hivemind might accelerate development, but it's also a symptom of the bigger issue: how do we turn the collective knowledge of our dev teams into something more than just a bunch of smart

Davit profil fotoğrafı
Davit4 ay önce

would take an effort to have swarm of intelligence working tightly together, but sharing insights in real-time is the first step!

K profil fotoğrafı
K4 ay önce

This makes agent performance compound over time

Davit profil fotoğrafı
Davit4 ay önce

not just single agent, but many agents

Peter Mick profil fotoğrafı
Peter Mick4 ay önce

AI is getting smarter and smarter hey? 🥰

Davit profil fotoğrafı
Davit4 ay önce

now its all about the harness

Jaynit Makwana profil fotoğrafı
Jaynit Makwana4 ay önce

The cross-agent aspect is what stands out here. Most workflows still keep knowledge trapped inside one tool.

Davit profil fotoğrafı
Davit4 ay önce

exactly, this makes your agents disposable. You can easily switch across different ones without loosing context.

Emanuele Fenocchi profil fotoğrafı
Emanuele Fenocchi4 ay önce

Finally, agents can stop having the memory of a goldfish every time you open a new session. Really curious to see how much SkillOpt and the knowledge graph can improve real day-to-day coding workflows

Davit profil fotoğrafı
Davit4 ay önce

very proud of you and @KamoAghbalyan on implementing the feature! great job guys!

Alvin profil fotoğrafı
Alvin4 ay önce

oh wow, this is actually crazy cool fam . so if my team uses Claude Code and Cursor side by side, they both get smarter over time from each other’s traces? might have to try this out. Starred the repo for sure

Davit profil fotoğrafı
Davit4 ay önce

exactly, for fun weekend projects, you can also turn of hivemind capture, to keep it private.

Prasenjit profil fotoğrafı
Prasenjit4 ay önce

one line install and it works across all agents, that's clean

Davit profil fotoğrafı
Davit4 ay önce

yep, you can customize which agent you want to include. Also exclude specific projects.

Shraddha Bharuka profil fotoğrafı
Shraddha Bharuka4 ay önce

The idea of agents learning from previous successful runs is really interesting.

Davit profil fotoğrafı
Davit4 ay önce

continual learning is going to unlock fire and forget agents!

AI Mastery Guide profil fotoğrafı
AI Mastery Guide4 ay önce

Agents that get smarter from your own team's usage is such a compounding advantage 🔥

Shubham Sharma | AI & Tech profil fotoğrafı
Shubham Sharma | AI & Tech4 ay önce

Really cool build, and AFAIK, a pretty unique approach too. big thx to the team for keeping it open source :)

Davit profil fotoğrafı
Davit4 ay önce

let us know how it goes for you

Shubham Sharma | AI & Tech profil fotoğrafı
Shubham Sharma | AI & Tech4 ay önce

Sure

Alex Veremeyenko profil fotoğrafı
Alex Veremeyenko4 ay önce

This is where coding agents get scary useful: not just executing tasks, but compounding team knowledge every time they run.

Gina Acosta profil fotoğrafı
Gina Acosta4 ay önce

The future is agents that learn from the whole team

Davit profil fotoğrafı
Davit4 ay önce

pluribus is the way to go!

Chidanand Tripathi profil fotoğrafı
Chidanand Tripathi4 ay önce

The cross-agent part is wild

Davit profil fotoğrafı
Davit4 ay önce

yep, no longer you are locked into a single agent.

Mr Das profil fotoğrafı
Mr Das4 ay önce

Finally, AI coding teams can learn continuously together. Hivemind’s skill sharing is brilliant and seamless!

Vipin Gautam (Viipin I Gautam) profil fotoğrafı
Vipin Gautam (Viipin I Gautam)4 ay önce

Most agents learn per task. Hivemind learns across tasks.

Davit profil fotoğrafı
Davit4 ay önce

thanks @viipin8 for support!

Vipin Gautam (Viipin I Gautam) profil fotoğrafı
Vipin Gautam (Viipin I Gautam)4 ay önce

Pleasure is all mine, Davit And, it is well deserved appreciation

Bit Space 🚀 profil fotoğrafı
Bit Space 🚀4 ay önce

This is how coding agents start compounding real intelligence over time.

Andrew Yeung profil fotoğrafı
Andrew Yeung4 ay önce

!!!

Davit profil fotoğrafı
Davit4 ay önce

!!!

arc. profil fotoğrafı
arc.4 ay önce

definitely trying this one! congrats team

Davit profil fotoğrafı
Davit4 ay önce

@arceyul would love to hear how it goes for you!

Gregor profil fotoğrafı
Gregor4 ay önce

congrats on training it on my 3am debugging sessions

Davit profil fotoğrafı
Davit4 ay önce

😂😂😂

Ege profil fotoğrafı
Ege4 ay önce

Kinda love this idea and it would be interesting to test this on a real team

Davit profil fotoğrafı
Davit4 ay önce

it becomes increasingly useful especially for teams! would love to hear feedback.

Ege profil fotoğrafı
Ege4 ay önce

Gonna give it a spin and share some feedback

Adarsh Chetan profil fotoğrafı
Adarsh Chetan4 ay önce

Intelligence compounds when every solved problem becomes a reusable skill.

Davit profil fotoğrafı
Davit4 ay önce

every trace counts!

Callam profil fotoğrafı
Callam4 ay önce

how do you determine what should and shouldn’t be a skill? I built this as a POC at work and it became a full time job triaging what was actually useful + came with a bunch of PII concerns

Davit profil fotoğrafı
Davit4 ay önce

we took inspiration from SkillOpt. Would love you to give a try and share your experience!

Callam profil fotoğrafı
Callam4 ay önce

any free trials available

Davit profil fotoğrafı
Davit4 ay önce

yes! you get free $15 credit for cloud storage. You can also invite others and get top ups :)

Nelly; profil fotoğrafı
Nelly;4 ay önce

this is one of those posts that makes builders stop scrolling

Zenith_Ai profil fotoğrafı
Zenith_Ai4 ay önce

Nice share

Krishna Agrawal profil fotoğrafı
Krishna Agrawal4 ay önce

AI coding agents are evolving fast. The idea of turning every coding session into reusable team knowledge is a big step toward truly learning agents.

Davit profil fotoğrafı
Davit4 ay önce

every stored session is a treasure for you and your team. Let's store them safely and learn from it. would love to see how it works for you!

Benzer Videolar

I gave Claude Code, Codex, and Cursor a self-improving, shared MEMORY. Now my coding agents learn from each other, and their knowledge follows me wherever I work. Coding agents work in silos. Your corrections in Cursor don't carry over to Claude Code, and skills built in Codex don't automatically transfer to other harnesses. So switching tools often means starting from scratch. What if every coding agent could learn from everything you've already done? I invited Justin D'Souza, co-founder of Asymptote Labs, to show me how to make this possible with Beacon, a 100% open-source memory layer for coding agents. We set it up live, explored real coding sessions, and watched Beacon turn past work into reusable knowledge. Here's what I learned: 1. One memory layer for 20+ coding agents. Beacon captures activity across Claude Code, Cursor, Codex, and 20+ harnesses using OpenTelemetry, hooks, and local session files. Everything gets normalized into a single format, regardless of which agent you're using. 2. Your entire coding history becomes searchable. Every prompt, tool call, command, file change, and response is captured in a structured trace. Instead of losing valuable context when a session ends, you build a searchable history of everything your agents have done. 3. Switch agents without starting over. Hit your usage limit in Cursor? Open Claude Code and ask it to continue your latest Cursor session. Beacon retrieves the relevant context in milliseconds so your next agent can pick up where the last one left off. 4. Your agents learn from your past work. This is where things get interesting. Beacon identifies repeated workflows and turns them into reusable skills. In our demo, it discovered a recurring UI development workflow and generated a skill containing the exact dev server commands, screenshot steps, and deployment instructions. You teach one agent something once. Every other agent can benefit. 5. Stop accumulating skills nobody uses. Have 100 skills but only use five? Beacon analyzes actual usage across thousands of sessions and identifies skills worth keeping, combining, or removing. Your agent's memory gets more useful, not just bigger. 6. Security rules that follow you across every harness. Beacon includes hundreds of detection rules that work across agents. It can identify risky behavior, including sequences where an agent reads sensitive credentials and then makes an outbound network request. 7. It even caught a real credential leak. While reviewing Justin's actual Cursor history, Beacon surfaced an incident where part of a production database password had been sent to a model provider. That's the power of having visibility into what your agents are actually doing. 8. One prompt to get started. Completely open source. Paste a setup prompt into your coding agent and you're off. Keep everything local on your machine, or use Beacon Cloud for free. If you're juggling multiple coding agents, you need to check this out. Drop a like and share it with someone facing the same issue. Beacon on GitHub: (don't forget to star 🌟) Enjoy the episode. Cheers!

Akshay 🚀

53,627 görüntüleme • 11 gün önce