Built by the creators of @NanoClaw_AI On a mission to give every employee their very own AI assistant that gets real work done.
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Agents should answer to the same identity policy as the people they work for.
That is why NanoCo is adopting Cross App Access, led by @okta. Your agents run on the policy you already approved.
Being governed stops being the thing that slows you down.
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NanoCo retweeted
And It was great to see the @NanoCo_AI shout out 😉
businessinsider.com/vibe-cod…
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NanoCo retweeted
Slack just killed Buzz.
One click to add your own open source NanoClaw agent to Slack.
If you want more agents, just ask it.
Collaborate with your agents in a shared room.
Work together and tag them on a canvas.
Slack is the new Slack.
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NanoCo retweeted
Agent Plugins are now supported in NanoClaw and we took it a step further.
Meet Agent Templates: install a full working agent in seconds, make it yours, and share it with anyone.
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NanoCo retweeted
A security lead banned the bigger agent tool company-wide. Then told his team: "go look at NanoClaw. A much smaller, auditable code base that depends on already trusted and approved software."
You don't have to choose between security and AI.
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Most enterprise sales don't die at the demo. They die in procurement.
NanoCo Pro Assistant is now on @awscloud Marketplace, so teams already on AWS can bring it in through the process they already use, under the security they already have.
If your team's on AWS, let's talk.
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This is a foundation for enterprise-ready agents: security that comes built in, so teams can build fast without their security team slowing them down.
@Follow_our_Echo
NanoClaw is now the first open-source agent framework secured all the way down to the software it runs on. free and ready to use. we built it with @Follow_our_Echo 🧵
👉@thenewstack
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Departments across the business are now provisioning API keys to autonomous agents outside any existing review process.
That's a governance gap, not a tooling gap.
It's the problem NanoCo was built around.
"Get the key, put it in the environment, and I'll take care of it for you." 🔑
Your AI agent will ask for a password eventually, especially once you want it running on its own.
Most people hand it over, because the alternative is it not working.
But. Where does it go after that? Who else can read it? Would you know if it was given to someone else?
📽️ Panel by @Docker about securing AI in 2026.
Link to the full conversation here: dub.sh/dockercisopanel
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Most of the AI conversation is still theoretical. This one isn't.
Mark Lechner (Docker CISO), @zachlloydtweets (@warpdotdev CEO), @Gavriel_Cohen (@NanoClaw_AI CEO), & Moriah Hara (Founder, CISO Next Gen) compare notes on what teams are actually doing to govern agents without slowing adoption: bit.ly/4ffkIZD
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NanoCo retweeted
AI agents don't need better search. They need better memory systems. 🧠
NanoClaw has it built in.
@swyx's full interview with @Gavriel_Cohen our founder here: dub.sh/swyx-pod
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NanoCo retweeted
Pre AI, there was an asymptotic bound on the value a company could create.
Net-positive companies focused on create+capture of value. They generated surplus value, but the more they succeeded and approached the asymptote, the more they had to shift focus from create to capture.
AI removed the bound. Value creation is no longer coupled to human headcount and hours worked. At every point on the curve, it’s now higher leverage to focus on generate than capture.
The most successful companies will capture a tiny portion of the value they create. It will continuously shrink as they get more successful, and they’ll gather massive ecosystems around their value creation engine.
@vercel has made the ultimate ai-native transition: their lifetime value created / captured is trending up.
They are extremely good at internally using AI to build high-leverage product capabilities and open source projects. And the whole tech ecosystem is benefiting from it. One example: their Chat SDK project provides the rich chat integration across 15+ messaging apps for countless people who interact with NanoClaw agents every day.
This has also changed the playing field for open source projects. Creators no longer need to focus on capture, we can instead focus on creating additional value alongside.
@NanoClaw_AI has created a massive amount of value. It’s used by tens of thousands of individuals including leaders in the private and public sectors, like @VivianBala, the Minister of Foreign Affairs of Singapore. People have built products and services on it. Teams are using it and companies have built their internal agent platforms on it.
@NanoCo_AI, our commercial entity, is not focused on capturing any of that value. We raised $12m and are investing heavily in growing the NanoClaw community and ecosystem.
Instead, NanoCo is focused on creating additional value alongside NanoClaw - a second value generation engine. We’re doing bespoke agent deployments for large enterprises and organizations with strict security and compliance requirements. These orgs won’t use the open source themselves.
I’d estimate our current lifetime create / capture at >100x. My ambition is to increase that by many orders of magnitude.
The ultimate test for coding AI: is software as a whole getting better? Are companies shipping faster? Do you now have apps and games you couldn't even dream of before? Is the software you're getting bug-free?
For me: my own ability to influence my productivity has radically increased. I feel a level of agency and autonomy I never had before. I'm free to create and execute. I can communicate a vision with my colleagues instantly. Personal software is real and a big win, I have a bunch of web tools and macOS apps I wrote just for myself.
For Vercel: it's been amazing to see our CTO @cramforce bring novel software to life with swaths of agents. Genuinely useful software that's having an impact industry-wide emerged nearly autonomously (chat-sdk.dev, just-bash.dev, deepsec.sh). That's just an example. Our PM team ships software and fixes bugs. Our junior engineers and interns ship quality software at scale. On a personal note, AI at my fingertips, as CLI or v0, allows me to keep up with all the product updates. I can build demos, apps and benchmarks on top of @vercel as new products go out.
But the ultimate jury is that people should love our products, expand their usage, refer their friends and colleagues to the platform. So far that tracks well, and it's the main metric I watch (and obviously we take token costs seriously, just like any other infrastructure spend… there isn't and has never been a proclamation to "tokenmaxxx").
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NanoCo retweeted
Recorded an impromptu podcast episode with @swyx for @latentspacepod last month at @aiDotEngineer SG.
Covered good ground including:
- Why "second brain" is the killer agent use case
- Messaging platform tier list
- NanoCo's origin and business model
piped.video/hLUGXO5DSpo?si=buMG…
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🚨 Autonomous AI agents aren't just coding helpers anymore. They are the developers, running 24/7 and installing self-extending skills at runtime. But what happens when an agent pulls a malicious package from the open internet?
🛡️ To close this critical gap, JFrog has integrated with NanoCo AI's open-source framework, NanoClaw!
🤖 Now, agent requests are routed through JFrog to block threats in real time and automatically deliver clean alternatives, keeping workflows secure without manual review.
👉 Read the full breakdown: jfrog.co/4eOp6NY 🚀 💻
#AIAgents #SupplyChainSecurity #DevSecOps #AppSec #NanoClaw
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Partnering with the best.
Thank you, @tomocchino, for the shout-out at @vercel Ship New York!
Two months ago, we announced a partnership with Vercel to solve the trust problem that was holding AI agents back.
Together with Vercel’s Chat SDK, we integrated the first approval system to give humans the final call on every agent action, delivered natively in Slack, WhatsApp, Teams, and a dozen other messaging channels.
Appreciate the love from a great partner 🩵🖤
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NanoCo retweeted
NanoClaw now armed with JFrog for safer packages theregister.com/ai-and-ml/20…
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We’ve teamed up with @jfrog to make sure your agents can’t install compromised packages.
Self-improving agents that install their own packages are a supply chain risk. Our new @jfrog partnership closes that gap.
NanoClaw agents now pull software packages, CLI tools, MCP servers, and skills from JFrog's scanned and vetted registries. If an agent tries to install a compromised package, the scan blocks it, tells the agent why, and points it to a safe version instead.
Full story in this @VentureBeat exclusive: venturebeat.com/security/nan…
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Introducing NanoCo, our enterprise offering from the team behind @NanoClaw_AI, backed by a $12M seed round led by Valley Capital Partners, with participation from Docker, Vercel, Monday.com, Hugging Face's Clem Delangue, and many more incredible investors.
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