The new agent‑memory‑bench repo lets you measure four real‑world failure modes, retraction, collision, recall, and conflict, in any AI agent's memory layer. By exposing gaps that standard retrieval metrics miss, it helps developers spot why agents confidently err and iterate toward robust long‑running workflows.
A multi‑agent loop runs entirely on your workstation, using free local LLMs (Ollama) to brainstorm CAD geometries, then CadQuery to build them, and OpenFOAM to evaluate thrust, noise, and efficiency. The system iterates toward Pareto‑optimal propeller designs without human intervention, showing how AI can replace manual engineering tweaks.
E3d‑pod2vid stitches together AssemblyAI diarization, GPT‑4o‑mini curated Pexels B‑roll, and OpenAI TTS to turn any podcast episode into a fully‑formatted YouTube video with subtitles and social‑ready thumbnails. The one‑command workflow automates uploading, description generation, and cross‑platform posting, letting creators repurpose audio content at scale.
Peek-CLI streams live screenshots of any Chrome tab to a WebSocket daemon, letting AI coding agents like Claude Code, Codex, or Copilot introspect the browser UI. By turning the browser into a visual data source, it merges agent‑driven development with real‑world web testing, accelerating UI‑aware code generation.
Moumantai lets you self‑host personal apps that run everywhere, from browsers to watches, while an LLM‑powered agent handles fuzzy language tasks. Define an app once, store its logic on a server, and let the runtime render native faces on any device, keeping code reusable and data private.