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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 Aufrufe • vor 4 Monaten •via X (Twitter)

67 Kommentare

Profilbild von Davit
Davitvor 4 Monaten

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.

Profilbild von Davit
Davitvor 4 Monaten

Here is the source, please star it!

Profilbild von Chubby♨️
Chubby♨️vor 4 Monaten

Really promising results! Love it

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Chubby♨️
Chubby♨️vor 4 Monaten

You are welcome ! All the best

Profilbild von Jaymin Shah
Jaymin Shahvor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Charly Wargnier ♨️
Charly Wargnier ♨️vor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

🦾🦾🦾

Profilbild von shirish
shirishvor 4 Monaten

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

Profilbild von Tuki
Tukivor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Shruti
Shrutivor 4 Monaten

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.

Profilbild von Kamo
Kamovor 4 Monaten

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.

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Alex Prompter
Alex Promptervor 4 Monaten

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

Profilbild von Michael Sutyak
Michael Sutyakvor 4 Monaten

The SkillOpt implementation really is a game changer.

Profilbild von Davit
Davitvor 4 Monaten

fully agree it has been already useful for us internally!

Profilbild von Adel Bucetta
Adel Bucettavor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von K
Kvor 4 Monaten

This makes agent performance compound over time

Profilbild von Davit
Davitvor 4 Monaten

not just single agent, but many agents

Profilbild von Peter Mick
Peter Mickvor 4 Monaten

AI is getting smarter and smarter hey? 🥰

Profilbild von Davit
Davitvor 4 Monaten

now its all about the harness

Profilbild von Jaynit Makwana
Jaynit Makwanavor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Emanuele Fenocchi
Emanuele Fenocchivor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Alvin
Alvinvor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Prasenjit
Prasenjitvor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Shraddha Bharuka
Shraddha Bharukavor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

continual learning is going to unlock fire and forget agents!

Profilbild von AI Mastery Guide
AI Mastery Guidevor 4 Monaten

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

Profilbild von Shubham Sharma | AI & Tech
Shubham Sharma | AI & Techvor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

let us know how it goes for you

Profilbild von Shubham Sharma | AI & Tech
Shubham Sharma | AI & Techvor 4 Monaten

Sure

Profilbild von Alex Veremeyenko
Alex Veremeyenkovor 4 Monaten

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

Profilbild von Gina Acosta
Gina Acostavor 4 Monaten

The future is agents that learn from the whole team

Profilbild von Davit
Davitvor 4 Monaten

pluribus is the way to go!

Profilbild von Chidanand Tripathi
Chidanand Tripathivor 4 Monaten

The cross-agent part is wild

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Mr Das
Mr Dasvor 4 Monaten

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

Profilbild von Vipin Gautam (Viipin I Gautam)
Vipin Gautam (Viipin I Gautam)vor 4 Monaten

Most agents learn per task. Hivemind learns across tasks.

Profilbild von Davit
Davitvor 4 Monaten

thanks @viipin8 for support!

Profilbild von Vipin Gautam (Viipin I Gautam)
Vipin Gautam (Viipin I Gautam)vor 4 Monaten

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

Profilbild von Bit Space 🚀
Bit Space 🚀vor 4 Monaten

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

Profilbild von Andrew Yeung
Andrew Yeungvor 4 Monaten

!!!

Profilbild von Davit
Davitvor 4 Monaten

!!!

Profilbild von arc.
arc.vor 4 Monaten

definitely trying this one! congrats team

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Gregor
Gregorvor 4 Monaten

congrats on training it on my 3am debugging sessions

Profilbild von Davit
Davitvor 4 Monaten

😂😂😂

Profilbild von Ege
Egevor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Ege
Egevor 4 Monaten

Gonna give it a spin and share some feedback

Profilbild von Adarsh Chetan
Adarsh Chetanvor 4 Monaten

Intelligence compounds when every solved problem becomes a reusable skill.

Profilbild von Davit
Davitvor 4 Monaten

every trace counts!

Profilbild von Callam
Callamvor 4 Monaten

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

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Callam
Callamvor 4 Monaten

any free trials available

Profilbild von Davit
Davitvor 4 Monaten

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

Profilbild von Nelly;
Nelly;vor 4 Monaten

this is one of those posts that makes builders stop scrolling

Profilbild von Zenith_Ai
Zenith_Aivor 4 Monaten

Nice share

Profilbild von Krishna Agrawal
Krishna Agrawalvor 4 Monaten

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.

Profilbild von Davit
Davitvor 4 Monaten

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!

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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!

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53,159 Aufrufe • vor 10 Tagen