Memory Ingest

Turn raw, unstructured input into structured Basic Memory entities. Meeting transcripts, conversation logs, pasted documents, email threads, anything with information worth preserving gets parsed, cross-referenced against existing knowledge, and written as proper notes.

Project scope

If the project is unknown, discover it with bm_project(command="list"). Pass a nonempty project on every note, folder, context and schema call, even with one project or a qualified memory:// URL. Use the chosen project's name, workspace/project, or external ID; <project> below is a placeholder for it. Recent activity also requires project. Search accepts project for one project, projects for selected projects, or all_projects=True explicitly. Discovery and bundled manuals need no project. Keep the same scope when following returned paths, paginating, or recovering from a refusal.

When to Use

• User pastes a meeting transcript or conversation log
• User says "process these notes" or "add this to Basic Memory"
• User pastes a document, article, or email for knowledge extraction
• Any time raw external text needs to become structured knowledge

Workflow Overview

1. Parse raw input           → identify structure, extract key info
2. Extract entities          → people, orgs, topics, action items
3. Search existing entities  → multi-variation queries
4. Research new entities     → optional web research (see memory-research)
5. Present entity proposal   → get approval before creating
6. Create source note        → verbatim content + observations + relations
7. Create approved entities  → structured notes for each new entity
8. Extract action items      → follow-ups and commitments

Step 1: Parse Raw Input

Read the pasted content and identify its structure: