Alternatives
Products that do what Moneta – Conversation as the Engine of Application State does
Hi HN! I’m Thunder. Longtime lurker and first time poster. I’m excited to present Moneta (https://moneta.studio/) with my co-founder Rob. *Moneta is a conversation-as-code platform for building multiplayer AI-native applications in which the AI can reactively update the application based on interactions with users or other AI via CRDTs.* The key idea is that rather than using a conversation to generate an application, in Moneta the conversation *is* the application. We call this idea 'conversation as the engine of application state' (CATEOAS). This means that instead of saying…
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Hello HN! The day has finally come to stop adding features and start sharing what I've been building the last 5-6 months. It's a bit of CrewAI, OpenDevon, LangFuse/Cloud all in one, providing devs who prefer TypeScript an integrated framework thats provides a lot out of the box to start experimenting and building agents with. It started after peeking at the LangChain docs a few times and never liking the example code. I began experimenting with automating a simple Jira request from the engineering team to add an index to one of our Google Spanner databases (for context I'm the…
2024 · github.com
- 3IM
It’s written in Python and I call it GoalChain. It lets you build a conversation flow graph that the user traverses. When there’s enough input it spits out a dictionary with the defined fields. Otherwise it will jump state to state as led by the user. It was fun to write, and it’s surprisingly effective if you keep in mind you’re prompt-engineering every string and field name. README.md has a mini-tutorial. Would be cool to get some ideas for how to build it further and what improvements I could make.
2024 · github.com
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Everything that would be here is in the README. I hope this gets big, it has tons of potential.
2013 · github.com
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I've been using this daily for 4 months and figured others might find it useful. This is my first open source project so would love any feedback. Ray connects to your bank via Plaid, stores everything in an encrypted local SQLite database, and lets you ask questions about your finances in natural language. No cloud, no account, your data is stored on your machine. Before anything reaches the LLM, all PII is stripped — your name, companies, transaction details are redacted and replaced with tokens, then rehydrated locally in the response. The AI never sees who you are.
Apr 2026 · rayfinance.app
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Hey HN! I'm Jacob Sansbury, a software developer and founder of Pluto. After working at Bridgewater Associates and moving to San Francisco, I decided to combine my passion for software development and finance to create Pluto – an AI-driven platform that revolutionizes the way retail investors manage their finances. Today, I'm excited to share our beta with you: https://pluto.fi/ Pluto is built with a combination of Next.js and Python, running on K8s and Kafka. Our AI Copilot, Plato, uses a three-part system (thinkers, actors, and communicators) to analyze data, execute…
2023 · pluto.fi
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I'm Tom, the cofounder of Canonical AI. I build a Voice AI agent that interviews you, then writes LinkedIn and X posts based on the interview. ### Why did I build this? 1. LinkedIn and X are b2b lead goldmines. But generating content is hard. You have to figure out what to say. If you're like me, you have trouble coming up with social post ideas when staring at a blank screen. But interesting ideas arrive when I step away from my laptop and talk to people. Also, it's hard to compose the content in a way that appeases the platform algorithms. 2. I want to dogfood my product. We’re building…
2024
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Hey HN! I really like local apps for their simplicity and privacy and hate paying Saas bills and I wanted a way to start automating my life with AI so I started building Anything. Anything is built on Tauri so the front end is React and the "backend" is Rust. It's 100% local & 100% doesn't ask you to spin up docker to use. Another core goal of the app is to get away from "package bloat" you see in other general purpose AI oss projects where they have a package.json that is 300 lines long ( more on that later. ) Oh btw I suck at Rust! I learned Rust while building this so the code is _not…
2024 · github.com
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A self-hosted ReAct agent with 12 tools and real memory
Jul 2026 · phinn.github.io
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hello everyone, my first post! AA here, founder of ⌘ Langbase.com — we are a developer platform for building and scaling serverless AI memory agents. I know surveys can be boring, but this one’s different—it’s interactive! That's very much intentional. My team and I have been up for the last 21 hours putting together this report. This was a looot of work, so I hope y'all like it. Introducing … State of AI Agents 2024 report On Langbase, we processed 184 billion tokens and handled 786 million AI agent runs from 36K developers. From all that data plus insights from 3.4K builders who filled out…
2024 · langbase.com
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- 13TI
I'm an "ideas person" who messes around with AI on a low budget. I got tired of watching my tokens vanish and context windows filling up while agents fumbled around trying to find the right thing. Agents don't flail like they used to with shell tools, but there are still weak/blind spots and back-and-forth episodes — especially when using tools in combination/sequence. So I built "tilth" today. Or rather, AI built it — every line is Opus 4.6. I spent a lot of my precious tokens getting it to "not shit" (at least several of the different vendors' AI overlords assure me it's not…
Feb 2026 · github.com
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We have been exploring ways to coordinate AI agents and services cleanly, observably, and without turning everything into YAML spaghetti. We came across this repo Happen, how good will it be cause we have We’ve tried the usual stuff: LangChain (too bloated, too magic) Autogen (chat loop hell) CrewAI (fun, but brittle when workflows grow) https://github.com/RobAntunes/Happen/tree/main/examples
2025 · github.com
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Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…
Jul 2026 · github.com
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Hey everyone on HN! We recently spent the past couple of weeks building out an end-to-end platform which can plug-in multiple models (both open/closed-source) to create voice driven conversational applications. We've tried to make the process simple & concise through documentation. Feel free to try it out and provide feedback. We will be launching a dashboard in the coming week for monitoring and analytics alongwith more open source models. Let us know what you all think. (if you want to contribute, we have tons of features planned - do let us know)
2023 · github.com
- 17IM
Hey HN, When I was learning to code I was always intrigued to see the guys on twitter making money with a SaaS. I always wondered how to make them and after a few months I developed my own. I wanted to share a Boilerplate for any new devs who are wondering how to start their own SaaS or wonder how things work. Boilerplate comes with Auth, Payments, UI and all the good stuff. Ali
2024 · github.com
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Hi HN! Solo developer here. 10 days ago, I started building this after spending countless hours copying/pasting marketing sections and fighting to keep them consistent with our design system. I wondered: "What if AI could understand our design system and generate React components that actually match it?" Current progress (10 days in): - Can generate hero sections that follow your design tokens - Uses your actual component variants and styles - Works with Next.js, Tailwind, shadcn/ui It's very early days, but I'm excited to share it with other devs who: - Are tired of rebuilding…
2024 · robustlaunch.com
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I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Feb 2026 · github.com
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Hi HN, my name is Maria, and I’m a co-founder of Maritime. We started Maritime at MIT to build infrastructure for companies that need to run thousands of isolated AI agents for their customers. Imagine you set up an agent like OpenClaw, or a personal assistant agent with a custom framework, and want to give a separate version of it to every customer/friend. Each customer needs their own agent running in an isolated microVM, with persistent state, secrets, triggers, and sleep/wake behavior. Building such scalable and secure infra will take you months and will cost hundreds of…
19d ago · maritime.sh
- 21PA
I built PostIdentity because I was tired of rewriting the same idea for different platforms in different tones. On X I needed something short and casual. On LinkedIn it had to be longer and more formal. I spent more time polishing tone than writing. PostIdentity is a web app that learns how you write and builds AI identities that capture more than just tone. Each identity encodes pacing, intent, and personality to create posts that sound like you or match different styles for brands or clients. Unlike ChatGPT or other AI writing tools, PostIdentity keeps each identity persistent instead of…
Nov 2025 · postidentity.com
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Hey HN! I built a thing and I'm really excited to share it. EDIT: I meant to link to the github, not the website: https://github.com/max-hq/max Like many of us here, I've been commonly reaching for a pattern of "pull data into db; give it to claude" for a while, whilst doing data spelunking or building tooling - for the same reasons mentioned by thellimist over here [1] and a few other recent "CLI vs MCP" posts. To that end, about a month ago I started building a project called `max` - its goal is to cut the middleman and schematise any data source for you. Essentially,…
Mar 2026 · max.cloud
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Hi HN, I’m excited to share LocoStudio (http://locostudio.ai), a local-first AI chat app for Mac that lets you chat with AI models both locally and in the cloud—all in one place. Why I built it: I wanted a private, fast, and flexible way to use the latest AI models without sending my data to the cloud. Most AI chat apps are either cloud-only (raising privacy concerns) or have clunky interfaces for local models. LocoStudio aims to make local AI chat as easy and powerful as using ChatGPT, but with your data staying on your device. What it does: - Private, local-first: Run open models…
2025 · locostudio.ai
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A friend and I are launching an alpha first thing in 2011. We're trying to gain some momentum and whatnot, so we're opening early registration as of tonight. We're planning to develop a Bayesian network to derive suggestions. If you're interested in seeing our progress, check it out. Edit: Any and all suggestions, criticism, advice, etc is highly appreciated!
2010 · osmoar.com
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