I built an open-source Rust/TS AI agent runtime with a Next.js-style DX
Link: https://docs.trysoma.ai/ For the past ~9 months I’ve been building Soma, an open-source AI agent & workflow runtime written in Rust, with a TypeScript SDK (Python coming soon). It’s not a framework; it’s meant to sit underneath whatever agent/tooling code you already write (Vercel AI SDK, LangChain, custom code, etc.). It provides features around your framework + a better DX for building agents. I’ve tried to take a Next.JS model: open-source, good DX, self-deployable. I originally set out to build a vertical back-office/operations product for SMEs. I needed a…
What it does
In the maker’s words, at launch
Link: https://docs.trysoma.ai/ For the past ~9 months I’ve been building Soma, an open-source AI agent & workflow runtime written in Rust, with a TypeScript SDK (Python coming soon). It’s not a framework; it’s meant to sit underneath whatever agent/tooling code you already write (Vercel AI SDK, LangChain, custom code, etc.). It provides features around your framework + a better DX for building agents. I’ve tried to take a Next.JS model: open-source, good DX, self-deployable. I originally set out to build a vertical back-office/operations product for SMEs. I needed a way to coordinate multiple AI agents, workflows, and SaaS integrations (Xero, Gmail, Slack, etc.) behind a single chat interface — something that behaves like “one employee”, even though it’s made of many agents under the hood. It’s very early. The core runtime, MCP server, and TypeScript SDK are usable, but the multi-agent routing layer is still experimental. I’d really appreciate technical feedback, critiques, or use cases the runtime does or doesn’t fit. Soma aims to make it easy to run long-lived agents and workflows with the plan being to eventually offer a unified UX to route chats to agents and a governance / observability plane. Features: * Fault-tolerant runtime * Built-in chat, MCP server debugger * Generates Google A2A-compliant endpoints to serve agents & chats * MCP proxy server that handles credentials + encryption * Strongly-typed generated clients for your MCP tools * Multi-platform TS SDK Coming soon (in active development): Python SDK, multi-agent coordination layer, OIDC/API-key auth middleware, and a VM-based compute sandbox. I hate how a lot of core features in products, like MCP servers with SaaS integrations are paywalled or not being able to self-host code that models your business processes (which is your IP!!) or needing to buy in to very custom DSL's that don't scale with your business... Plain 'ol code tends to be better if pre-AI orchestrators like Temporal (Conductor) & Restate have anything to say about it under free market conditions and developers will most likely fight tooth and nail to avoid custom DSLs (I've got scars from debugging complex AWS step functions). So what's started out as an experiment to create something to unlock a better developer experience and work towards a more unified AI agent UX & observability has led me here. I've been working on my own on this for a helluva long time and I'm keen to start getting some feedback and understanding people's use case for the project. I have a few alpha testing clients and engagements with potential enterprises but I'm struggling to understand the right customer to go after. If you have that sort of feedback please reach out to me directly but otherwise, I'm interested in hearing the community's thoughts on this and how to shape it moving forward. (Maybe all my opinions are wrong ¯\_(ツ)_/¯ but I'm keen to engage in the dialogue ) Credit to Restate ( https://restate.dev/ ) and Turso / Libsql / Sqlite fork ( https://turso.tech/ ) for doing a lot of the heavy lifting.
Does the same job
all alternatives →- NONous – Open-Source Agent Framework with Autonomous, SWE Agents, WebUI2024 · github.com · ▲155
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…
- OSOpen-source AI app builder you can embed into your own SaaSJul 2026 · github.com · ▲6
We just open sourced a first class our AI web app builder. Instead of using another hosted AI coding platform, you can fork this project and build your own AI app builder, fully customized and running under your own brand. It includes: Next.js + TypeScript AI chat with streaming Artifact generation File explorer Code editor Live preview Databases Sandboxes to be used by AI agents Versions Responsive production-ready UI And a lot more... The only required dependency is the Totalum API, which exposes the AI generation engine through a simple REST API. You can replace or extend the backend…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, December 2025
the whole month →- GP
Life & fun · Dec 2025 · dosaygo-studio.github.io
- JG
Hi everyone! My name's Luke and I made the original Jmail here alongside Riley Walz. We had a ton of friends collaborate on building out more of the app suite last night in lieue of DOJ's "Epstein files" release. Please AMA!
Life & fun · Dec 2025 · jmail.world
PlanEat AI▲733AI turns your health goals into a 7-day menu & grocery list
AI · Dec 2025 · planeatai.com
- 2G
Community, All the HN belong to you. This is an archive of hacker news that fits in your browser. When I made HN Made of Primes I realized I could probably do this offline sqlite/wasm thing with the whole GBs of archive. The whole dataset. So I tried it, and this is it. Have Hacker News on your device. Go to this repo (https://github.com/DOSAYGO-STUDIO/HackerBook): you can download it. Big Query -> ETL -> npx serve docs - that's it. 20 years of HN arguments and beauty, can be yours forever. So they'll never die. Ever. It's the unkillable static archive of HN and it's…
Dev tools · Dec 2025 · hackerbook.dosaygo.com
