The Local Intel

Create long-form (faceless YouTube) videos end to end from any MCP client: script, locked character references, storyboard, voiceover, and final video editing — with characters and style held consistent across every shot. Making long-form AI video today means 8+ tabs stitched by hand — an LLM for the script, a voice model, an image model, a video model — with characters drifting between tools and style resetting at every export. Framesail replaces the patchwork: the whole pipeline runs in one place and manages your video's context end to end. Six stages: Style (paste images, videos, or YouTube links and Framesail reverse-engineers the look, voice, and direction), Script (write it yourself or generate it in your narrative style), Reference images (auto-generated for every character, place, and prop), Voiceover (one narrator or many characters, with word-level timing), Storyboard (planned scene by scene), and Editor (captions, music, SFX, then export). No black box: you control every prompt, asset, model, and setting.

Hybrid vector + reasoning retrieval, agent memory, multi-agent orchestration, MCP server, and RAG.

IA-QA as an MCP Server Use IA-QA's developer tools to test your llm agents RAG ai tools, directly from Cursor, Claude Desktop, Windsurf, or any AI agent without leaving your IDE. Many classical testing tools too ! Enjoy ! No API key. No signup. Free.

Document hosting and encrypted agent memory with multi-tenant persistence.

AI agent execution safety via x402 micropayments: risk scoring, integrity, memory checks

Multi-agent LLM security layer detecting prompt injection and jailbreaks.