memory-query

name	memory-query
description	Read from the knowledge graph — natural language questions, semantic search, or hybrid search over objects and documents.
metadata	{"author":"emergent","version":"2.0"}

New to Emergent? Load the memory-onboard skill first to set up the project's knowledge graph schema before querying. Want to write to the graph? Load the memory-graph skill to create, update, or delete objects and relationships.

Query an Emergent project knowledge base using the memory query command.

Rules

• Project context is auto-discovered — the CLI walks up the directory tree to find .env.local containing MEMORY_PROJECT or MEMORY_PROJECT_ID. If .env.local is present anywhere above the current directory, --project is not needed. Only pass --project <id> explicitly when overriding or when no .env.local exists.

Modes

Agent mode (default) — AI reasoning over the knowledge graph. Best for complex or multi-hop questions.

memory query "who directed fight club and what are their other movies?"
memory query --project <id> "list all requirements for the auth module"
memory query --show-tools "what are the key relationships between X and Y?"

Search mode — Direct hybrid search (semantic + lexical), no AI reasoning. Best for finding specific content fast.

memory query --mode=search "fight club"
memory query --mode=search --result-types=graph --limit=20 "authentication"
memory query --mode=search --result-types=text "API rate limiting"

Session Continuation

After each agent query, a session ID is printed:

Session: abc123  (use --session abc123 to continue)

Pass it back to continue the conversation with full history:

memory query "what are the main services?"
# Session: abc123  (use --session abc123 to continue)

memory query --session abc123 "which of those handles auth?"

Sessions are scoped to the project. Only supported in --mode=agent.

Key Flags

Flag	Default	Notes
--mode	agent	agent or search
--project	from config	Override target project
--session	—	Continue a previous query session (agent mode only)
--json	false	Machine-readable output
--show-tools	false	Show agent tool calls (agent mode only)
--limit	10	Max results (search mode only)
--result-types	both	graph, text, or both (search mode only)
--fusion-strategy	weighted	weighted, rrf, interleave, graph_first, text_first

Workflow

1. If the user's question is broad or relational -> use agent mode (default)
2. If the user wants to find specific documents or objects quickly -> use search mode
3. If no --project is set, the CLI uses the default project from config; ask the user to confirm or specify one if the context is ambiguous
4. Use --output json + --json for downstream processing or to pass results to another tool
5. To follow up on a previous query, pass --session <id> to continue with full conversation history

Output Format

Agent mode streams the response and prints a final answer. Search mode returns a table (or JSON) of matching objects/documents with scores.

Use --json to get structured output suitable for parsing:

memory query --mode=search --json "authentication" | jq '.[].title'