Give your agent a production memory

Your agent searches the production in one place, and Stringout tracks which machine holds each file. Stringout indexes media on your Macs and connected team computers into one shared library. For Stringout Podcast Ep1, the agent finds the interview on the studio Mac and the supporting footage on a teammate’s drive through the same MCP connection.

The agent sees what your library and team access settings allow. A file it finds in search is not a copy of the media on your Mac. File Streaming serves supported edit media through Finder, and a camera-original transfer needs the source drive and both Macs online. The agent finds the source first, and the editor decides which media to move.

Stringout transcribes and visually analyzes indexed media before the editing request. The agent searches those transcripts and analysis results from the first message of each conversation. It uses the same results for the next brief and the next episode, and they cover more as more of the library is indexed.

A project summary gives the agent a short list of sources with their readiness, timecode and sync status. The agent asks for the transcript passage it needs, or a bounded stretch of picture and sound. Responses are scoped and paged, which leaves unrelated footage out of the conversation and spends less of the context window on finding shots. You have more of the window for editorial direction.

The source recording is the authority. The agent reads a summary to choose what to inspect, and the edit itself uses word timings and source ranges. Incomplete analysis appears as a readiness condition to resolve before the agent relies on that file.

Stringout holds the project’s record of what was shot and what was chosen. Transcripts, visual analysis, named selects and saved sequences are stored in the library, outside any one assistant’s chat history. A connected agent reads them when you return to Stringout Podcast Ep1 or start the next episode.

Put editorial decisions where another editor can open them. Save the complete answer as a select with its source range, and create each proposed revision as a separate sequence. The earlier cut is there to compare against. Stringout stores these records. It does not store the assistant’s private reasoning or every chat message.

Stringout’s MCP App shows supported file and project views inside a ChatGPT conversation. In Claude, the same Stringout views open through the MCP UI for browsing sources and checking the cut. The editor looks at the project the agent is working on and sees for themselves what changed.

What plays inline depends on the host. Inline playback works where the assistant allows Stringout’s media connection. ChatGPT’s restricted media path does not play a full timeline. When the host cannot play the cut, open that exact saved cut in Stringout to play and review it.

Add Stringout to the agent you edit with now. The assistant searches Stringout’s indexed library, checks the transcript passage or picture it needs, and saves a cut whose clips point back to their source recordings. Your other tools handle generation, motion graphics and publishing, and Stringout handles the library and edit preparation.

Connecting two products to the same agent does not give them a shared project. Stringout supplies its own sources and sequences through its connection. It does not automatically import another editor’s timeline or read another assistant’s memory. Inference runs on the external assistant’s account, under its own policies for the transcripts, metadata and media it receives.

After review, ask for a handoff to the target editing application. Stringout prepares a supported Premiere, DaVinci Resolve or Final Cut Pro project in its Finder share. The editor opens it, checks the cut against the available media and continues timing, sound and finishing in the NLE the team uses.

The agent session ends with a cut another person can open, its clips linked to their source recordings. A supported NLE project returned to Stringout becomes a new revision. Effects and other application-specific detail come through only as far as the target’s interchange format supports them. The next note starts from the same library.