Naptha AI

📰 Honored to be featured in StartupHub.ai! The article explores our vision for decentralized multi-agent systems and how we're building the infrastructure for the Internet of Intelligence. A big thank you to Daniel Singer for capturing our journey and mission to enable seamless collaboration between AI agents across frameworks and industries. Read more about our work and vision here: https://lnkd.in/dzwwdxv3 #AI #DecentralizedAI #MultiAgentSystems #StartupNews

Wondering why your users don’t activate? You gave them APIs and docs… but something’s missing. What if emerging technologies could help? As a service provider, exposing your product through APIs or SDKs gives developers access — but often leaves you in the dark about how your service is being used, what users are trying to achieve, and where they’re getting stuck. Most integrations today suffer from three key limitations: 🧩 Hide context across sessions and systems — you have little visibility into what users are trying to accomplish ⏱️ Lack real-time adaptation — you can’t respond to shifting user needs or usage patterns as they unfold 🔁 Don’t support personalized negotiation or multi-step discovery — users follow fixed flows, regardless of context or intent This limits your ability to provide dynamic support, improve onboarding, or identify opportunities for expansion and optimization. Agent protocols like Model Context Protocol (MCP) and Agent2Agent (A2A) change this by making the interaction between users (or their agents) and your service bidirectional, contextual, and intelligent. Imagine being able to: ⚠️ See where users hesitate: Are they unsure which parameter to use? Are they trying the wrong combination? 📉 Understand drop-off points: Which part of your onboarding flow or configuration journey causes the most abandonment? 📈 Identify growth levers: Where are users organically trying to do more with your service than your current model supports? If you're building a developer platform or API-driven service and this sounds like the future you want to live in, get in touch. We’re working on the infrastructure to make it real.

Should we build something to make this better? https://lnkd.in/g3R4YRff

At Naptha AI, we've spent the past few months diving deep into MCP. It's a protocol with an incredible vision and lots of promise, but it's going through some serious growing pains. In my latest for Naptha's blog, I break down the Great, the Broken, and the Downright Dangerous parts of MCP: https://lnkd.in/gn8-BvUx

At Naptha AI we've been thinking a lot about MCP lately. In the past few weeks it has exploded in popularity, but there's still lots of confusion! In our latest blog post I explore what you should know about MCP and why it's so popular. Make sure to read to the end for a curated list of some of our favorite MCP servers for shipping faster! #MCP #AI #Agents

Arize AI, SwirlAI, and Naptha AI joined the AGNTCY Collective to help build the foundational technologies and standards for the Internet of Agents. See what Jason Lopatecki, Aurimas Griciūnas, and Richard Blythman say about their collaboration. Join the collective: http://cs.co/60464dBAj #AGNTCY #InternetOfAgents #OpenSource #AIagents

On our most recent Trillion Agents podcast, we dive deep into what’s really moving the needle in the AI agent space. From the evolution of context engineering to why vertical AI startups are pulling ahead, here’s what we unpacked: 1. Why context engineering is more important than clever prompt engineering. 2. Why vertical (domain-specific) AI agent startups are currently more successful than horizontal (general-purpose) dev tools. 3. Rapid-fire ideas for combining agents—think coding + education, coding + landing page optimization—and the challenges of bringing multi-agent systems into production. 4. Why building from conviction and real expertise—not hype, trends and quick wins—is something that can be lacking in the space. Check out the full discussion in the video! https://lnkd.in/ecUVi3ZQ Spotify link: https://lnkd.in/e9P8_M2j

Andrej Karpathy nailed it: more context → better answers. But what if your context is locked behind OAuth scopes, consent screens, and brittle integrations? At Naptha AI, this was our biggest pain point building agents. So we built a better way in-house. We call it OneDollarOAuth. 💡 What’s the problem? LLMs are only as good as the context you give them. But getting access to your own data—from Google Docs, Notion, Slack, etc.—is surprisingly painful. Each OAuth flow is a mini integration project. Each provider is slightly different. It's a pain. To get OAuth working properly, you need to build at least 8 components: 1. Client credential management 2. Auth flow + consent screen 3. Callback handler 4. Token exchange 5. Token refresh logic 6. Scope management 7. State param + CSRF protection 8. Secure token storage https://lnkd.in/evShWeqh ⚙️ What we built So we packaged everthing and made it easier to use. It’s not a Zapier clone. It’s not an iPaaS. It’s just OAuth, done right—for LLM-native apps. And it's $1 per user per month. We built this because we were tired of reinventing the same plumbing in every AI app. Now we turned it into a product. If you’re building AI tools that rely on third-party context, this saves weeks of OAuth pain. 🔗 Try it here: https://lnkd.in/eBJ229RU

Today, Naptha is launching OneDollarOAuth.com, offering a straightforward and secure OAuth integration platform starting at just $1 per month. As developers, we understand the frustration of dealing with complex OAuth setups, managing token refresh logic, and ensuring secure token storage. Many existing solutions come with high monthly costs ranging from $99 to $500, bulky SDKs, and unnecessary unified APIs. Our approach is different. We aim to make OAuth integration mundane, efficient, and cost-effective. Key features of OneDollarOAuth include: - Elimination of webhooks and refresh logic management - Simplified setup with only two API calls required - Enhanced security with field-level encryption to safeguard your tokens - Customizable with white-label options for branding - Affordable pricing at just $1 per app per month Here's how it operates: 1. Input your Slack, GitHub, Discord, or other OAuth credentials 2. Receive a redirect URI and let us handle the process 3. Access a secure API for retrieving continuously updated tokens We developed OneDollarOAuth to tackle the complexities of OAuth without the hefty price tag. Experience the simplicity and affordability firsthand. Visit our website for more details and share your valuable feedback: https://OneDollarOauth.com Our platform is a product of dedication fueled by caffeine and a commitment to making infrastructure straightforward and budget-friendly.

Check out OneDollarOAuth.com!