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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 views • 5 months ago •via X (Twitter)

67 Comments

Davit's profile picture
Davit5 months ago

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's profile picture
Davit5 months ago

Here is the source, please star it!

Chubby♨️'s profile picture
Chubby♨️5 months ago

Really promising results! Love it

Davit's profile picture
Davit5 months ago

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

Chubby♨️'s profile picture
Chubby♨️5 months ago

You are welcome ! All the best

Jaymin Shah's profile picture
Jaymin Shah5 months ago

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

Davit's profile picture
Davit5 months ago

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

Charly Wargnier ♨️'s profile picture
Charly Wargnier ♨️5 months ago

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

Davit's profile picture
Davit5 months ago

🦾🦾🦾

shirish's profile picture
shirish5 months ago

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

Tuki's profile picture
Tuki5 months ago

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

Davit's profile picture
Davit5 months ago

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

Shruti's profile picture
Shruti5 months ago

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's profile picture
Kamo5 months ago

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's profile picture
Davit5 months ago

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

Alex Prompter's profile picture
Alex Prompter5 months ago

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

Michael Sutyak's profile picture
Michael Sutyak5 months ago

The SkillOpt implementation really is a game changer.

Davit's profile picture
Davit5 months ago

fully agree it has been already useful for us internally!

Adel Bucetta's profile picture
Adel Bucetta5 months ago

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's profile picture
Davit5 months ago

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

K's profile picture
K5 months ago

This makes agent performance compound over time

Davit's profile picture
Davit5 months ago

not just single agent, but many agents

Peter Mick's profile picture
Peter Mick5 months ago

AI is getting smarter and smarter hey? 🥰

Davit's profile picture
Davit5 months ago

now its all about the harness

Jaynit Makwana's profile picture
Jaynit Makwana5 months ago

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

Davit's profile picture
Davit5 months ago

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

Emanuele Fenocchi's profile picture
Emanuele Fenocchi5 months ago

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's profile picture
Davit5 months ago

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

Alvin's profile picture
Alvin5 months ago

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's profile picture
Davit5 months ago

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

Prasenjit's profile picture
Prasenjit5 months ago

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

Davit's profile picture
Davit5 months ago

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

Shraddha Bharuka's profile picture
Shraddha Bharuka5 months ago

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

Davit's profile picture
Davit5 months ago

continual learning is going to unlock fire and forget agents!

AI Mastery Guide's profile picture
AI Mastery Guide5 months ago

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

Shubham Sharma | AI & Tech's profile picture
Shubham Sharma | AI & Tech5 months ago

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

Davit's profile picture
Davit5 months ago

let us know how it goes for you

Shubham Sharma | AI & Tech's profile picture
Shubham Sharma | AI & Tech5 months ago

Sure

Alex Veremeyenko's profile picture
Alex Veremeyenko5 months ago

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

Gina Acosta's profile picture
Gina Acosta5 months ago

The future is agents that learn from the whole team

Davit's profile picture
Davit5 months ago

pluribus is the way to go!

Chidanand Tripathi's profile picture
Chidanand Tripathi5 months ago

The cross-agent part is wild

Davit's profile picture
Davit5 months ago

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

Mr Das's profile picture
Mr Das5 months ago

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

Vipin Gautam (Viipin I Gautam)'s profile picture
Vipin Gautam (Viipin I Gautam)5 months ago

Most agents learn per task. Hivemind learns across tasks.

Davit's profile picture
Davit5 months ago

thanks @viipin8 for support!

Vipin Gautam (Viipin I Gautam)'s profile picture
Vipin Gautam (Viipin I Gautam)5 months ago

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

Bit Space 🚀's profile picture
Bit Space 🚀5 months ago

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

Andrew Yeung's profile picture
Andrew Yeung5 months ago

!!!

Davit's profile picture
Davit5 months ago

!!!

arc.'s profile picture
arc.5 months ago

definitely trying this one! congrats team

Davit's profile picture
Davit5 months ago

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

Gregor's profile picture
Gregor5 months ago

congrats on training it on my 3am debugging sessions

Davit's profile picture
Davit5 months ago

😂😂😂

Ege's profile picture
Ege5 months ago

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

Davit's profile picture
Davit5 months ago

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

Ege's profile picture
Ege5 months ago

Gonna give it a spin and share some feedback

Adarsh Chetan's profile picture
Adarsh Chetan5 months ago

Intelligence compounds when every solved problem becomes a reusable skill.

Davit's profile picture
Davit5 months ago

every trace counts!

Callam's profile picture
Callam5 months ago

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's profile picture
Davit5 months ago

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

Callam's profile picture
Callam5 months ago

any free trials available

Davit's profile picture
Davit5 months ago

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

Nelly;'s profile picture
Nelly;5 months ago

this is one of those posts that makes builders stop scrolling

Zenith_Ai's profile picture
Zenith_Ai5 months ago

Nice share

Krishna Agrawal's profile picture
Krishna Agrawal5 months ago

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's profile picture
Davit5 months ago

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!

Related Videos

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 🚀

54,039 views • 17 days ago