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Alternatives

Products that do what Second – solution to decentralize does

Second's goal is to be your fully decentralized, AI twin that runs everywhere (in the cloud, in your browser, on your phone or smart tv), managing all your data, connections, and software. You give it instructions, and it follows them, answering only to you. Decentralization has three major problems: - Identity: how do I know I'm talking to you? ("Zooko's Triangle" = decentralized, secure, human-addressable) What is your reputation for X transaction? Where can I find Y thing that you made? - Language and Storage: What is the format of the data we exchange, where is the data stored, and who…

  1. 1
    Stellar143

    Decentralized protocol for real-world currencies

    2014

  2. 2

    Explore a virtual world owned by its users

    2021

  3. 3

    Sharing economy built on blockchain

    2018

  4. 4

    P2P desktop app for building, browsing, & sharing knowledge

    Apr 2026

  5. 5

    Bringing Data and AI together for the Web3 Data Economy

    2019

  6. 6
    Agihalo68

    LLM Router for A.I Agent & Saas with x402

    Jan 2026

  7. 7ME
  8. 8DD

    I've been working on something for a while now. It's a combination of a decentralised identity system and a decentralised messaging system that makes use of the aforementioned new identity system. It's based on cryptographic keys with one major property: keys are paired with arbitrary mnemonic strings, e.g. your favourite username, so apps can send messages in a P2P fashion addressed to the strings directly without having to worry about IP addresses. These key-string pairs can be generated on-the-fly on any computer and there's no central database. When multiple people inevitably choose the…

    2020

  9. 9IM

    Hey HN, I’m Chris, a solo dev in Melbourne AU. For the past month I've been spending my after work hours building AgentVisa. I'm both excited (and admittedly nervous) to be sharing it with you all today. I've been spending a lot of time thinking about the future of AI agents and the more I experimented, the more I realized I was building on a fragile foundation. How do we build trust into these systems? How do we know what our agents are doing, and who gave them permission? My long-term vision is to give developers an "Agent Atlas" - a clear map of their agentic workforce, showing where…

    2025 · agentvisa.dev

  10. 10MC

    We moved our expensive long-running jobs to Hetzner while keeping the web nodes on good-old Heroku. And we took the chance to move the jobs back to the monolith from very difficult to maintain Fargate microservices. Kamal from Basecamp enabled us to do this in a straightforward way

    2023 · happyscribe.com

  11. 11WB

    Hey HN: Kaveh here, founder of https://www.usage.ai/ We help companies drive down AWS, GCP, and Azure spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. I have been building Usage AI for almost 4 years now (4 year anniversary in 1 month from now!) with an incredible group of founding people. We started as a product just to help lower AWS EC2 costs, and now we do all major AWS services (such as RDS, OpenSearch, ElastiCache, and Redshift with more on the way) and other…

    2024

  12. 12AD

    Experiments are fun. I recently came across Bitclout, and I love the underlying concept. It’s ballsy, will it work? — time will tell. I think Bitclout as a thesis is moving towards the right direction. Decentralised Social Media networks will be the next thing and allowing users to own their own social equity and monetise that is the future. Last year I started an experimental fund, Khoob (www.khoob.group) The idea was to invest in and build interesting Indian companies (a Betaworks / Expa for India). Thus far we have made 4 investments, and are building 4 companies. At Khoob I’m the…

    2021

  13. 13CA

    I built this because I was tired of creating pull requests in 20 repositories just to change a single line of workflow job version. With Infra as AI, just mention the change. Agents work on all repos in parallel, read the docs, make a bunch of PRs and fill in the description. You can see the demo of the actual dashboard in the landing. Let me know your thoughts :) It means a lot to me!

    Sep 2025 · infrastructureas.ai

  14. 14TC

    the cloud is a walled garden built for profit [ not efficiency ]. you’re paying for idle, autoscaling is too slow, and serverless is a scam. locked in, overcharged, and out of options. lttle.cloud is different. decentralized, open-source, and built for real performance [ sub-10ms cold start ], true pay-for-what-you-use pricing, and zero vendor lock-in. deploy anything as "serverless" from any docker image, no rewrites, no bullshit. powered by the blockchain and built in public, it’s transparent, efficient, and free from vendor lock-in. run your own private cloud or join the decentralized…

    2025

  15. 15HO

    gm gm, We’re excited to show our project, Hive Network, a new frontier for decentralized AI agents that operate both on-chain and off-chain. Our mission is to make AI more powerful and transparent, and we’re inviting you to join us in this revolution. What is Hive Network AI? -- Hive Network AI is a platform where developers can create, deploy, and manage AI agents that function autonomously across blockchain and traditional networks. Our system addresses significant issues in the AI space, such as the lack of transparency, difficulty in monetizing models, and insufficient research funding.…

    2024 · hivenetwork.ai

  16. 16AA

    Hi HN! Last night, I live streamed myself coding this Llama 2 Agent on a Single GPU (Colab). After 6 hours it actually has some good results. How it works is it takes in your intuition (e.g. "I think x would be cool") and develops a business idea (with a name and branding colors) and a business plan. After the business plan is developed, it criticizes this plan recursively until the "Investor" prompt is satisfied with the plan. After all this it will generate the final MVP idea and pass it to a the React Engineer Agent I live coded 2 days ago…

    2023 · github.com

  17. 17IM

    Hi HN, I’m one of the devs behind StarDesk, a P2P-first remote desktop we’ve been building for ~1 year. We started this partly out of frustration: some popular RDP tools haven’t seen meaningful updates in a long time, and long-standing issues are often left unaddressed. As devs, we really dislike software that stagnates once it “works well enough”. StarDesk is our attempt to do it differently. What we focus on: -P2P by default (relay as fallback) -Low RTT + low jitter > chasing max bitrate -Encoder / input path tuned for real-time interaction -Modern E2EE (TLS/DTLS) UX-wise, setup…

    Jan 2026 · stardesk.net

  18. 18OS
  19. 19IB

    Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…

    Jan 2026 · github.com

  20. 20UA

    Three months ago, we started developing an open source agent framework. We previously tried existing frameworks in our enterprise product but faced challenges in certain areas. Problems we experienced: * We risked our stateless architecture when we wanted to add an agented feature to our existing system. Current frameworks lack server-client architecture, requiring significant effort to maintain statelessness when adding an agent framework to your application. * Scaling problem - needed to write Docker configurations as existing frameworks lack official Docker support. Each agent in my…

    2025 · github.com

  21. 21OC

    Hi everyone, I'm Vasek (https://x.com/mlejva), the CEO of the company behind this - https://e2b.dev. The company is called E2B. We're an open-source (https://github.com/e2b-dev) devtool that makes it easy to run untrusted AI-generated code in our secure sandboxes. You can think of us as coding runtime for LLMs. You can self host us on GCP (https://github.com/e2b-dev/infra/blob/main/self-host.md) and we're working on AWS, then Azure, and any Linux machine. This repo is one of our open-source projects that we're…

    2025 · github.com

  22. 22MF

    Hello HN, I created Decispher (decispher.com) to enable human developers and AI agents working alongside each other to share their context. It has some pretty cool features, like Branch Story (explains why a branch's code looks the way it does) and Session Context Transfer (an MCP tool that can copy context from one chat, agent, or machine to another). You can also capture context from engineering platforms like Slack, JIRA, and Git(hub/lab) just by tagging @Decispher.

    Jul 2026

  23. 23PF

    PD founder here. Building integrations with all of your customer's systems is a core challenge for every company building agentic AI solutions. Connect is the easiest way for your users to connect to over 2,400+ APIs and get access to 10,000+ tools, right in your product or AI agent. You can build in-app messaging, CRM syncs, vertical agents, and much more, all in a few minutes. Demo app - https://pipedream-connect-demo.vercel.app/ Quickstart - https://pipedream.com/docs/connect/quickstart You have full, code-level control over how these integrations…

    2025 · pipedream.com

  24. 24SR

    Hello all, I'm a software developer. Over the last few months more and more of my work has turned into using coding agents instead of typing the whole code myself. Usually a few claude sessions at once, sometimes codex, one per feature or per revealed bug. I ran them in a split terminal for a few weeks, and quickly spotted two main problems. The first is that I couldn't easily tell which agent was stuck waiting on me and which was still working, so I'd cycle through sessions and checking on them. The second one: agents sharing a single branch step on each other. Two of them could be editing…

    Jul 2026 · shikigami.dev

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