Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.
The definitive list that answers "I want to do X in Python, which tool should I use?"
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
A skill to stop your coding agent from burying the answer. ADHD-friendly output.
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
When Claude keeps giving you bad answers, make 100 versions of it fight to the death. Same task, 100 different strategies, a bracket, one answer left. Free Claude Code skill.
A free AI assistant and survival library that runs on your own computer, with no internet needed. Shows the source of every answer.
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3Γ lower latency than vLLM in FP8 and bit-identical answers.
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
Perturb-and-continue causal tests of chain-of-thought: does the written reasoning actually constrain the answer? Code, data, and probes for "From Decorative to Load-Bearing: Task Difficulty Shapes the Causal Role of Chain-of-Thought" (TMLR 2026).
GEO Optimizer, the open-source engine behind GeoReady (geoready.dev): audit whether ChatGPT, Perplexity, Gemini & Google AI Overviews cite your site. CLI, Python, MCP.
A SIP phone daemon with local speech and language models on Apple Silicon.
High accuracy RAG for answering questions from scientific documents with citations
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.
ππ A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.
Cited Q&A over IIIT Delhi academic rules β answers only from official PDFs, with page links. RAG + FastAPI + Gemini.
The Duel (Face Off): make Claude defend and improve its answer against an OpenAI critic.
BullshitBench measures whether AI models challenge nonsensical prompts instead of confidently answering them, created by Peter Gostev.
Open-source end-to-end GEO implementation: status analysis, diagnosis, strategy, tickets, execution, verification
Question and Answer based on Anything.
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%, 2.1Γ faster ingest, 68% fewer tokens.
Librarian Agents trains a builder agent to organize a document corpus into a reusable hierarchical filesystem-based workspace before future queries are revealed. An answering agent then navigates that workspace to answer queries.
Talk to your Claude Code agent out loud. Hold a key, speak, and it answers in a real voice about a second later, with all its tools and its own personality. The hearing and the voice run on free local models, no API keys.
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.
Local proxy that learns your app's typed LLM decisions and answers them with a Laya head. Jev and OpenAI compatible.
AdalFlow: The library to build & auto-optimize LLM applications.
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
MCP server and CLI that crawls websites for AI agents: finds the answer page 2x more often than Crawl4AI, 10x cheaper per answer than letting Claude crawl.
500+ DevOps, SRE, security, cloud, and platform engineering interview questions across 40 topics - short answer, detail, worked example, and interview tips for each.
A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
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.
Distill a repeated Jev classification task into a local model, on the fly β same answers, your hardware.
Your coding agents remember what you decided β and what you changed. Plain-Markdown memory in Obsidian, shared by Claude Code, Codex and Cursor over MCP. Every answer cites its page; when the vault does not know, it says so. Imports your past sessions on install.
Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
Gravitas is a free add-on for Google Antigravity that makes its AI agent check what your answer depends on, tell you kindly when something you assumed is wrong, and still give you what you came for.
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.
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.
[OPEN SOURCE] Cut, trim, merge video clips quickly with ease without launching a heavy program. Made for memes, gaming clips and similar basic use cases. Tired of not having a reliable program to do tasks that should take seconds? This is the answer for all of your problems. I made it for myself and everyone else too. Enjoy.
instant coding answers via the command line
Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.
A delightful and complete interface to GitHub's amazing API
Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc
Offline timezone lookup for WGS84 coordinates, with no polygon simplification - so the answer stays correct at timezone borders.
CLI-first orchestration for AI coding agents: run selected agents and models in parallel, compare raw answers, and coordinate review or implementation workflows.
A fast browser agent: Jev picks each action from what is on the page, an LLM reads and plans, and every claim in an answer cites a quote from the page.
Manufacturing production-planning assistant that answers natural-language queries about BOMs, inventory, and material shortages for PMC planners.
Map unfamiliar code. Verify every answer.
Open-source audio/video notebook: ask across hundreds of hours of recordings, and every answer links to the exact second it was said.
Three trap-laden fix-it tasks with hidden graders for testing an AI coding agent's judgment. Sandbox setup, prompts, answer key, and results for Qwen3.8-Flash, Qwen3.6-35B and Claude Opus 5.
Open visual probability research: encode an image once, answer multiple structured questions. Public data, trained weights, reproducible baselines and failure cases.
Turn any local language model into a fast decision API with typed, probabilistic answers
[ACM MM 2026] Beyond Visual Similarity: Entity-Aligned Retrieval for Knowledge-Based Visual Question Answering
Open, calibrated System 1 decision models: typed choice / score / yes-no answers with a probability for every option. 400M to 80B; CPU, NVIDIA, Apple Silicon, LM Studio, Ollama and vLLM.
Agent skill for auditing web search evidence and search-based answers
MCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answer
βοΈ KadΔ± β a calibrated judge in front of your frontier LLM. Routine decisions answered locally with a conformal-prediction guarantee (β€ Ξ± disagreement with the oracle); everything else escalated and learned from. Zero-dependency Python.
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.