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Hacker News: Show HN

PurrrrrFocus: Pomodoro Timer App - App Store Workflow Engine — Multi-Step Orchestration for Bun RapidPhoto: Pro Photo Editor App - App Store GitHub - think41/extrasuite: Token-efficient pull/edit/push workflow for AI agents editing Google Workspace files (Sheets, Docs, Slides, Forms) GitHub - DheerG/swarms: Achieve extraordinary results with claude code across a variety of tasks SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Show HN: VCoding – A 5 MB native Windows IDE with no dynamic dependencies Show HN: LLMs don't hallucinate because they're bad at math, it's the format GitHub - Agent-FM/agentfm-core: AgentFM is a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. AgentFM lets you run massive AI workloads directly across a global mesh of idle CPUs and GPUs. Show HN: Tracking Top US Science Olympiad Alumni over Last 25 Years GitHub - Potarix/agent-hub: One place to talk to all your agents Show HN: Runtime security for AI agents(injection,tool abuse, data exfiltration) GitHub - dubeyKartikay/lazyspotify: Terminal Spotify client for macOS and Linux GitHub - the-banana-tool/king-louie: Easy to use GUI Personal AI Assistant. Win/Linux/Mac. Show HN I made my vacation rental bookable by AI agents–no Airbnb, 0% commission GitHub - basteez/jsf-autoreload: maven plugin to enable hot reload on jsf projects uvm32/hosts/host-gdbstub at main · ringtailsoftware/uvm32 GitHub - labsai/EDDI: Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus. GitHub - glitchnsec/fortyone-oss: AI Executive Assistant Platform Quickstart | Alien GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. GitHub - ocrbase-hq/ocrbase: 📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. GitHub - impactjo/home-memory: MCP server that lets your AI assistant remember everything about your home. GitHub - Sets88/dbcls: DbCls is a powerful terminal database client that supports various databases GitHub - neptun2000/heor-agent-mcp GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh RollQuation: Math Puzzles - Apps on Google Play GitHub - dropbox/witchcraft Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis GitHub - opentalon/opentalon: OpenTalon is an open-source platform built from the ground up in Go as a robust alternative to OpenClaw
在 Steam 上购买 FriedrichAI: Offline AI 立省 10%
2026-04-10 · via Hacker News: Show HN

抢先体验软件

随着软件的发展参与其中。

注意:该抢先体验的软件内容尚不完整且也许会发生变化。如果您目前不是特别想使用这款软件,那么您 应该等待一段时间来观察软件的开发进度。了解更多

开发者的话:

为何要采用抢先体验这种模式?

“FriedrichAI is being released in Early Access to gather feedback and improve stability, usability, and feature depth in real-world use.

Core functionality — including the local AI runtime, persistent memory system, and context-aware responses — is already implemented and usable. During Early Access, we are expanding capabilities, improving performance, and refining the user experience.

Features and behavior may evolve over time as the system is improved based on feedback. The goal is to deliver a stable, fully featured offline AI assistant while maintaining performance and reliability across a wide range of hardware.”

这款软件的抢先体验状态大约持续多久?

“6-12 months”

计划中的完整版本和抢先体验版本到底有多少不同?

“The full version of FriedrichAI is planned to expand on the core functionality available in Early Access, with a focus on improved performance, stability, and usability.

Planned improvements include enhanced context handling, more efficient long-term memory, expanded feature support, and a more refined user interface. Additional tools and customization options will be introduced to support a wider range of workflows and use cases.

The goal is to deliver a stable, fully featured offline AI assistant that is reliable, responsive, and adaptable to different user needs.”

抢先体验版本的现状如何?

“The Early Access version of FriedrichAI is functional and usable as a fully local, offline AI assistant. It includes a working user interface, local model execution, and a persistent memory system for maintaining context across interactions.

Users can interact with the system through a text-based interface, generate code and written content, and use it for development, productivity, and general problem-solving — all without requiring an internet connection.

Ongoing updates during Early Access will focus on improving performance, expanding capabilities, and refining the overall user experience.”

在抢先体验期间和结束之后,这款软件的价格会有所不同吗?

“The price of FriedrichAI will increase as development progresses, additional features, improvements and refinements are added after Early Access.

Early Access provides an opportunity to purchase the product at a lower price while it is still evolving.”

在开发过程中,你们是如何计划让玩家社区参与进来的?

“We plan to involve the community by gathering feedback from Early Access users and using it to guide improvements to performance, usability, and features.

User input will help identify issues, prioritize updates, and refine the overall experience. We will monitor feedback and continue improving the application throughout Early Access based on real-world use.

Our goal is to build a stable and useful offline AI assistant shaped by practical feedback from its users.”

了解更多

不支持简体中文

本产品尚未对您目前所在的地区语言提供支持。在购买请先行确认目前所支持的语言。

关于此软件

Run AI locally. No cloud. No API. No data leaving your machine.
Turn off WiFi — it still works.

FriedrichAI runs entirely on your PC, giving you a private, self-contained AI experience with no subscriptions, no accounts, and no internet required.

It installs, starts, and just works.

FriedrichAI is a fully local AI system designed for people who want the benefits of AI without relying on cloud services or complicated setup. It keeps your usage on your machine, remembers useful context locally, and stays under your control.

Built for people who want AI that runs on their machine — not in the cloud. FriedrichAI helps with problem-solving, writing, planning, ideation, and general day-to-day assistance — all processed locally.

Most AI tools depend on remote servers, accounts, and usage limits. FriedrichAI doesn’t. You own it. You run it. It answers to you.
FriedrichAI runs locally on your own hardware, so speed, quality, and feature performance depend on your PC. It is designed for private offline use, not cloud-scale AI performance.

Designed for users who want local AI without dependency hell.

Features

🔒 100% local — nothing leaves your machine

⚡ No API keys, no subscriptions, no cloud required

🧠 Remembers useful context locally over time

📦 Simple setup — installs and runs without complex configuration

🖥 Runs directly on your own hardware

What FriedrichAI can do

Answer questions and help think through problems

Support writing, planning, and ideation

Retain useful local context

Assist with ongoing personal projects and workflows

Provide a private AI experience that stays under your control

This isn’t another AI service.
This is a self-contained AI system you actually control.

System Tiers

High (Default) — best quality, requires NVIDIA GPU

Mid (Recommended) — balanced, works on most systems

Low — CPU-friendly, maximum compatibility

Not sure? Start with Mid.

This product uses Qwen models licensed under the Apache License 2.0.

AI 生成内容披露

开发者对其游戏如何使用 AI 生成内容的描述如下:

FriedrichAI uses a locally hosted AI model to provide responses, assist with coding tasks, and support general interaction.

All processing is performed on the user’s machine. The application does not rely on cloud-based AI services and does not send user data externally.

The AI generates text-based responses based on user input and is intended for productivity, development assistance, and general-purpose use.

系统需求

    最低配置:
    • 需要 64 位处理器和操作系统
    • 操作系统: Windows 10/11
    • 内存: 20 GB RAM
    • 存储空间: 需要 14 GB 可用空间
    推荐配置:
    • 需要 64 位处理器和操作系统
    • 操作系统: Windows 10/11
    • 处理器: Ryzen 7 5700x or equivalent.
    • 内存: 32 GB RAM
    • 显卡: RTX 3080 or better
    • 存储空间: 需要 34 GB 可用空间