ifixai-ai / iFixAi

Python CLI and agent plugin that audits whether an AI agent does the job it is supposed to do, using adversarial and operational tests.

perixtar / Tech-OA-Interview-Questions

Daily updated list of Tech Company OAs and Interview Problems. Save your time from finding them all over the internet.

axolotl-ai-cloud / axolotl

Go ahead and axolotl questions

WeThinkIn / AIGC-Interview-Book

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

PolyU-VCLab / OmniCompass

OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding

Hao0321 / video-autopilot-kit

Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.

Canner / WrenAI

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

Future-House / paper-qa

High accuracy RAG for answering questions from scientific documents with citations

AzureAD / microsoft-authentication-library-for-python

Microsoft Authentication Library (MSAL) for Python makes it easy to authenticate to Microsoft Entra ID. General docs are available here https://learn.microsoft.com/entra/msal/python/ Stable APIs are documented here https://msal-python.readthedocs.io. Questions can be asked on www.stackoverflow.com with tag "msal" + "python".

Azure-Samples / rag-postgres-openai-python

A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.

mohit67890 / imajev

Open Jev-style typed-decision model that also takes images: photo + app state + typed questions in, calibrated probabilities out, locally.

malevrigns / agent-jev

AgentJev-0.6B - a fast 'System One' decision model for AI Agents: feed it any unstructured state (diffs, traces, logs) and structured questions, get calibrated probability distributions back in one ~50ms forward pass. Zero output-token decoding.

netease-youdao / QAnything

Question and Answer based on Anything.

andrewekhalel / MLQuestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

Mirix-AI / MIRIX

Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.

Kav-K / GPTDiscord

A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!

FalkorDB / QueryWeaver

An open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Ask your database questions in plain English, QueryWeaver handles the weaving.

Tencent / WeSmartFlow

Every question can open a new path. WeSmartFlow turns learning into conversation, exploration, stories, and hands-on discovery.

hrithikkoduri / WebRover

WebRover is an autonomous AI agent designed to interpret user input and execute actions by interacting with web elements to accomplish tasks or answer questions. It leverages advanced language models and web automation tools to navigate the web, gather information, and provide structured responses based on the user's needs.

thiswillbeyourgithub / wdoc

Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc

phoenix-zhou / agent-sweep-engine

Built on **Agentic RAG** (Agent-driven Retrieval-Augmented Generation) technology, it not only accurately answers pre-sales and after-sales questions but also generates personalized usage reports and optimization suggestions by deeply analyzing device data.

crow-hq / llm-wiki-v2

Turn your documents into a Markdown wiki you can read, that answers with citations. Works with any LLM provider, Ollama included. CROW classifier routing: 89% right note vs 62%, 2.1× faster ingest, 68% fewer tokens.

MoMoM101 / RAG-ReActAgent

RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning

OmniJev / OneJev

🚀🚀 A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.

kshetrajna12 / reflex

A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.

AboveColin / HA-Jev

Ask your house a question, get a number back. Home Assistant integration for TypeSafe Jev: typed answers as sensors, four actions for automations, and a conversation agent for Assist.

anjeongkyun / backend-interview-questions

백엔드 기술 면접 질문과 답변. 단순한 개념 설명이 아니라 '뭐라고 답해야 하나'와 '이렇게 답하면 틀린다'를 함께 알 수 있도록 합니다

joeseesun / qiaomu-learning

用苏格拉底式逐问学习把教材、截图、PDF、笔记、题目或一个主题变成主动推导对话。Use when the learner明确要求“苏格拉底式学习”“逐问带我学”“一次只问一个问题”“先别告诉我答案”“边问边引导我推出来”、interactive quiz、active recall or question-led tutoring。每个活跃回合只问一个简短、可回答的问题，并根据学习者上一步的推理调整难度；遇到陌生抽象概念时可使用具名人物的小故事，空间、因果、流程、几何或图形关系确有帮助时可调用 Codex 内置生图并提供文字替代。不用于只要直接解释、摘要、翻译、代做/解题、批量出题、评分、写苏

alanhuangyoo / OpenJev

OpenJev: open-source, local alternative to Jev. System-One decision models: typed questions in, calibrated probabilities out; general decisions and browser-agent steps.

SuperGODOG / ai-agent-interview-240

AI Agent 面试真题库：300 + 道大厂真实面试题（附答题框架）+ Java/Python/Go 语言八股文 + 2 个持续迭代 Agent 项目档案。AI Agent 面试准备、大模型应用开发面试、后端面试八股

altryne / jevify

An agent skill to discover TypeSafe Jev opportunities, design typed questions, and learn from recent community experiments.

mchittineni / ultimate-devops-guide

500+ DevOps, SRE, security, cloud, and platform engineering interview questions across 40 topics - short answer, detail, worked example, and interview tips for each.

IamBusy / OpenJev-Vision

Open visual probability research: encode an image once, answer multiple structured questions. Public data, trained weights, reproducible baselines and failure cases.

alexiocassanifm / anthropic-certifications

Unofficial open-source study kits for Anthropic certifications: a linked wiki, original practice-question banks, and Claude Code skills that teach, quiz, and track exam readiness.

akivet / Mica

A 4B decision model: calibrated probabilities for yes/no, choice and score questions over long inputs.

realHarryX / KBMR

[ACM MM 2026] Beyond Visual Similarity: Entity-Aligned Retrieval for Knowledge-Based Visual Question Answering

zhihz / openjev

Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.

Ninjutzu24 / AI_assisted_highlighting_for_learning

Web application for comparing static highlighting and interactive AI-assisted support in reading comprehension tasks. The system analyzes user-provided text, identifies key passages, and provides highlighting, summaries, explanations, and guiding questions

yoheinakajima / glance

Ask an open vision-language model typed questions about an image and get probabilities back, on your own machine.

justxor / python-primery-koda-2026

Примеры кода на Python 2026: лучшие практики, разбор примеров, Python 3.14, asyncio, FastAPI, pytest, задачи с решениями на русском

YuniqueUnic / a2ui-ask

Interactive UI for AI agents — turn structured questions into browser forms.

ankit-aglawe / tinyjev

A tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.

mchittineni / ultimate-ai-engineering-guide

100+ AI, Gen AI, LLM, Agentic AI, Forward Deployed Engineer (FDE), AI Systems Architect, Applied AI, LLMOps, AI Platform engineering interview questions across 10 topics - short answer, detail, worked example, and interview tips for each.

alipyth / AdaptiveMetric-Rag

AdaptiveMetric RAG is a self-hosted, multilingual knowledge assistant that changes its retrieval strategy for every question

xinnan-tech / xiaozhi-fde-talk

前沿部署工程师(FDE)、产品经理需求访谈助手，支持实时转写、辅助提问、导出报告。Frontline Deployment Engineer (FDE) 、Product Manager Interview Assistant, supporting real-time transcription, guided questioning, and report export.

SylphAI-Inc / AdalFlow

AdalFlow: The library to build & auto-optimize LLM applications.