Local video and animated-GIF RAG for MCP-compatible coding agents
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# Keyframe **Local video and animated-GIF RAG for coding agents.** Keyframe turns a tutorial, screen recording, or animation into timestamped transcript segments, searchable on-screen text, representative frames, and reconstructed code. Ask what was *said*, what was *shown*, or both—and inspect the source frame before trusting uncertain OCR. It runs locally in Codex, ChatGPT desktop, Claude Code, Cursor, and Google Antigravity/Agy through the same MCP server. Keyframe is deliberately split into two parts: - a local MCP server performs deterministic acquisition, OCR, indexing, and retrieval; and - a small workflow skill teaches any connected agent to retrieve narrowly, verify visual evidence, and cite timestamps. The server does not call an LLM. In the Build Week workflow, Codex running GPT-5.6 reasons over Keyframe's evidence, changes code, and runs the tests. ### Topic discovery versus video analysis An explicit Keyframe invocation selects the analysis capability; it does not change the subject of the question. When a user asks for videos about a topic without supplying a source, the connected agent uses its normal web-search capability to identify up to three individual public videos. If one centrally matches the requested subject and task, Keyframe ingests that one source and adds timestamped evidence. Adjacent or keyword-only results are recommended with a caveat rather than ingested. Keyframe itself does not search the public web, and its library-wide `video_search` covers only previously indexed media.  *Product-story concept; Keyframe is a local MCP server and plugin, not a hosted UI.* ## Quick start ### Prerequisites Keyframe v0.3.1 supports CPython 3.12, 3.13, and 3.14. Install these native tools before starting: - FFmpeg and `ffprobe` f…
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