返回首页
最新
Hola Hackers!<p>I'm building Rice (docs.tryrice.com). Think of Rice as a managed state machine for AI agents with long term memory.<p>Rice is a platform that unifies long term memory and short term state management for AI agents. Effectively, Rice solves the context compounding issue in the immediate sense - by using Rice Slate (our state management service), the context consumption was down 60%. This makes the agents more efficient. The state management layer also allows agents to share context without the conventional "message passing" approach meaning you can run parallel AI agents.<p>The memory layer enables the agents to have a broader contextual understand of the data and relationships - personalisation and automation at scale for agents.<p>How we're different (https://docs.tryrice.com/rice-vs) and working on some cool aspects.<p>The core value prop -<p>1. Auditable Agentic executions out of the box
2. Shared state for AI agents (not using message passing approach) for efficient executions
3. Persistent memory for historical data and more.<p>Currently in beta phase, so looking for beta testers. Appreciate any thoughts and tests.<p>Please enter your email at tryrice.com if you'd like to get in the beta.
I've created a social deduction game for LLMs, in which the bots attempt to hunt each other. It's a Mafia group turing test: the models are told to find who the bot is - where, in fact and unbeknown to them, they are all bots.
I did this a while back so models aren't the newest, and they are all non-thinking (for speed and token costs).
Et voilà.
I made a fun site, where you can track your mood every day from 1-10.
You can also view how other people felt throughout the year for an average rating.<p>There are already 5000 votes for 2026!<p>Tell me what you think!
Hi all,<p>Over the weekend I felt nostalgic for classic anthology-style storytelling and wanted to see if I could create something new in that format. Rather than trying to imitate any specific show, I was interested in the broader idea of short speculative stories built around irony, choice, and unintended consequences.<p>I decided to experiment with AI as a storytelling tool. Going in, I expected the results to be fairly mediocre, but I was genuinely surprised by the output. Some of the stories — and even the generated images — were better than I anticipated and made me want to explore the idea further.<p>The result is Twisted Logic, a small choose-your-own-path anthology story generator. It can use Google’s Gemini models if you provide an API key, but I’ve also been working to make it function with free alternatives and allow people running local LLMs to point the project at their own models. By default it uses free generators and the browser’s built-in voice (which can be turned off).<p>The project is free to use and open source (<a href="https://github.com/anefiox/TwistedLogic" rel="nofollow">https://github.com/anefiox/TwistedLogic</a>). I mainly built it as a hobby experiment and a way to explore generative storytelling and interactive narrative design. If anybody wants some links to the some stories generated as ebups please let me know.