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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
Odysseus — A Self-Hosted AI Workspace
r0xsh · 2026-06-01 · via Hacker News - Newest: "AI"

Yours for the voyage.

Your own AI workspace,
running on your hardware.

Odysseus is a self-hosted interface for talking to language models — chat, autonomous agents, tools, model serving, email, research, and more. Local-first, privacy-first, and no telemetry. Just you and your models.

(if you want to add an API that's cool too — I'm not here to tell you how to live your life…)

One app, a lot of capabilities

Started as an AI chat. Became a workspace. Each piece runs locally against whatever endpoints you point it at.

Chat & Agents

Multi-turn chat plus autonomous agents that plan, call tools, and work through tasks.

Tools & MCP

Built-in tools (bash, files, web, memory) plus any MCP server you connect. Toggle per tool.

Cookbook

Hardware-aware model recommendations and one-click serving across 270+ catalogued models.

Email Assistant

AI summaries, style-matched draft replies, auto-tagging and spam triage over IMAP/SMTP.

Deep Research

Multi-step research runs that gather, read, and synthesize sources into a written report.

Compare

Send one prompt to several models at once and compare their answers side-by-side.

Memory

Persistent memory the assistant builds up and recalls across all your conversations.

Skills self-evolving

The assistant writes, refines, and reuses its own skills — getting more capable over time.

Private by default

Runs on your machine against your own endpoints. No telemetry, with optional external integrations when you choose them.

What our customers are saying

Odysseus was created by a carefully crafted one-shot AI prompt:

user@odysseus: ~

> idk what to make come up with something oh make an AI chat but make it good and make it look nice

Hover or tap to take a closer look

Each panel expands and plays its preview when you hover or tap it. Swipe on mobile to move through them.

Chat & AgentsTalk to any local model, or give it tools and let the agent run.

CookbookDownload, serve, and manage local models across your machines.

Deep ResearchAsk once: it searches, reads sources, and writes back a cited report.

CompareSend one prompt to many models at once and watch them answer side by side.

DocumentsA document editor that puts you first — work on what you want, with AI help when you want it.

Notes & TasksCapture notes and to-dos, or let scheduled agents work and brief you after.

Image GalleryGenerate, edit, remove backgrounds, and inpaint in your own gallery.

ThemesRestyle and make it yours — edit your own, or ask the agent to make one.

Uncompromised local LLM experience.

I started working on the Odysseus project because running local AI felt fun and powerful. But the options at the time to engage with LLMs felt like taking steps back. The idea that you could just self-host AI and not pay for a subscription wasn't there. All the tools and functions that make it all magic were missing.

So I started building Odysseus bit by bit — and the more I gave it to work with, the better it served me. Turns out the more your model knows about you, the more useful it gets. Which is the other reason to self-host: you get all that context without handing your private data to someone else's cloud.

Odysseus is yours.

It's open source and free. No sales team, no demo request, no Trojan horse.

$ git clone https://github.com/pewdiepie-archdaemon/odysseus.git && cd odysseus

Self-hosted Bring your own models Local-first MCP-ready No telemetry