Bring valuable history into a memory you can use.
Your useful history does not have to stay inside its original application. Memrain’s import tools and connected-agent workflows turn selected archives into stored context that can be retrieved alongside new work.
Illustrative workflow
Bring these project notes and conversation exports into my memory, keeping the sources behind the important decisions.
The workflow starts with a sample, processes supported inputs and reports skipped or unresolved items. Retrieval checks after indexing establish whether the expected context is available.
Illustrative scenario, not a live product result.Inventory the material before moving it
Identify formats, ownership, access restrictions and the information worth retaining. Supported conversation exports use the transcript importer. Other documents need a suitable extraction or transformation path in your agent’s tools. Keep a clear distinction between included content and material still awaiting review.
Preserve the context of each source
Titles, dates and source references make migrated content easier to understand later. Review page mappings and duplicate handling on representative inputs before expanding a batch. Keep the original archive under your control while checking the resulting pages and import reports.
- A defined source and format inventory
- A reviewed sample and repeatable import path
- A record of processing gaps and refusals
Check questions as well as counts
Stored records need indexing and embeddings before search can retrieve them. Ask representative questions after processing, inspect their sources and check for outdated or conflicting claims. An upload receipt alone does not establish a complete migration.
Keep the context. Move the work forward.
Connect your knowledge to the AI you already use. Find your starting point and make the next conversation count.