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Alternatives

Products that do what Shinkai: Local AI Agents does

Create advanced AI agents effortlessly (Local / Remote AI)

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    local.ai104

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    The modern Jira alternative for teams, free & now w/ Gitlab.

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  7. 7NO

    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

  8. 8

    Hire your first AI Agent teammates today

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    Nansen AI138

    A Crypto Research Team In Your Pocket, 24/7

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    Openbase216

    Manage your team of AI agents by voice, from anywhere

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    The power of Codex with local, self-hosted models and voice

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    An open-source AI agent that builds full-stack SaaS apps

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    Lunen.ai112

    Build AI agents your whole team can run, and control

    Jul 2026 · lunen.ai

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    OpenYak114

    The open-source Claude Desktop with any model you want

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    OpenMolt132

    Let your code create and manage AI Agents (OpenSource)

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    Open-source platform for enterprise AI agents, web-first.

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    Open-source runtime for durable AI agents

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    Run AI Agents at Scale, Reliable and Fast

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  19. 19IB

    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…

    Dec 2025 · docs.trysoma.ai

  20. 20NC

    There's been some interesting work lately with BrowserAI (runs LLMs in the browser using WebGPU) enabling local, private AI processing. Now, the team has released BrowserAgent - a no-code tool built on top of it. BrowserAgent lets you create custom AI workflows using a drag-and-drop interface, all within your browser. This means personalized web summarizers, research assistants, or content generators can all run locally with no cloud costs and full data privacy. Check it out here - https://browseragent.dev Key features include: - No-Code Workflow Builder: Design custom AI agents…

    2025 · browseragent.dev

  21. 21AI

    The goal of Agentic is to create a set of standard AI functions / tools which are optimized for both normal TS-usage as well as LLM-based apps. It's designed to work with all of the major TS AI SDKs (LangChain, LlamaIndex, Vercel AI SDK, OpenAI SDK, Firebase Genkit, etc) via adaptors. Would love feedback from the HN community :)

    2024 · github.com

  22. 22AT

    Hi Hacker News! We're launching Zalor, an agent testing platform. Agents often break when you tweak system prompts, swap models, or add tools. Zalor automatically generates test scenarios and evaluates your agent so you know it's reliable before deploying to production. We currently support the OpenAI Agents SDK and are onboarding other frameworks. A GitHub integration is coming so you can get feedback on every update. Looking forward to hearing feedback from people building agents.

    Mar 2026 · agents.zalor.ai

  23. 23GA

    Hello! Introducing geniusrise, an agent framework and component ecosystem for building AI agent networks that are as flexible as your team. landing page: https://geniusrise.ai (fancy but useless) docs: https://docs.geniusrise.ai (please check this out) github: https://github.com/geniusrise (for dear devs) ## Thought process Since the ChatGPT disruption, I've been pondering on what the tooling layer is going to look like for building LLM-interfacing agents. Saw a plethora of tools coming out as we witness here every week. I'd broadly categorize them into the…

    2023 · github.com

  24. 24RA

    Hi HN! Sean from MindStudio here. I wanted to share something we've been working on that I think introduces some new ideas into the "AI coding agent" space. Remy is an AI agent that builds full-stack TypeScript apps from a spec written in a new flavor of annotated markdown. The spec has two layers: prose describing what the app does, and annotations that carry the technical precision (data types, edge cases, validation rules, code snippets). The agent then "compiles" this into code: backend methods, typed schemas, frontends, test scenarios, and everything else are derived artifacts of the…

    Apr 2026 · remy.msagent.ai

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