AI Tool AI Tools

Open-source context graph for agentic GTM teams. Nous unifies scattered sales and account data into a single identity-resolved record that agents can query in one call, with API and MCP access.

CoreMem is a context management platform for AI agents and chat tools. It lets users store preferences and notes as reusable mems, then load them into tools through MCP, public profile URLs, scoped share links, and AI-readable docs.

An AI chess coach that explains Stockfish-backed move choices in plain language and shows the reasoning on the board.

Yogen is a self-hosted AI swarm that uses 500 agents to debate an idea and produce a verdict and written report. It targets decision support for startup ideas, product changes, and other uncertain choices, with both a hosted demo and local setup using an Anthropic API key.

Google’s Gemini 3.5 Live Translate is a near real-time speech-to-speech translation model that works across 70+ languages and is being rolled out in Google AI Studio, Google Meet, and Google Translate.

A local-first AI calculator that explains arithmetic step by step in a browser-based workspace. It supports percentages, powers, roots, parentheses, and follow-up math while keeping conversations stored on the device.

A web tool that estimates when a local LLM machine pays for itself versus using an API. It compares hardware options, model fit, speed, and break-even usage, with notes on assumptions and methodology.

Lucid is a browser-based tool for inspecting what a language model is representing before it answers, using Anthropic’s Jacobian lens. It supports small open models, lets users type prompts, view concepts across layers, and export shareable session slices.

A reverse CAPTCHA site that gives short timed tasks for LLMs and agents, with an MCP endpoint, machine-readable docs, challenge submission, certificates, and a leaderboard.

Model Salt is a web tool for rerunning the same prompt across multiple runs to surface varied LLM outputs by adding external randomness. The page shows example prompts, side-by-side generations from several models, and a simple workflow for exploring answer diversity.

A runtime for AI agents that grounds answers in retained evidence, refuses uncited claims, and logs citations for auditability. The page describes pointer-based facts, refusal rules, and a judge layer for meaning checks.