Summary
brane storm — divergent brainstorming against accumulated knowledge. "Here's what I know — what's missing? What connections haven't I made? What questions should I be asking?"
Why
Brane is purely retrieval right now. It finds what's there but never proposes what isn't. An agent that can only recall is half an agent — it also needs to speculate, question assumptions, and surface blind spots. Bunny's storm does this against markdown files; we do it against the structured graph.
What
CLI
brane storm # brainstorm on bare knowledge
brane storm "security implications" # seeded brainstorm
brane storm --input threat-model.md # brainstorm against a document
brane storm --rounds 3 # multi-round deepening
Flags
--rounds <n> — iterative rounds (reload context each round, default: 1)
--input <path> — seed from file
--dry-run / -n — show what would be created without writing
--json / -j — JSON output
Flow
- Load context — vector search for relevant concepts + episodes (seeded by topic or broad sample)
- LLM generation — Claude thinks divergently: gaps, questions, connections, contradictions
- Output — new concepts, edges, episodes, plus suggestions
LLM Response Schema
{
concepts: { name: string, type: string }[],
edges: { source: string, target: string, relation: string }[],
episodes: { observation: string, tags: string[] }[],
suggestions: { kind: "question" | "source" | "lens", value: string, reason: string }[],
reasoning: string
}
Suggestions
Storm doesn't just create — it suggests next actions:
- question — "Have you considered X?" (becomes a future ask)
- source — "You should read about Y" (becomes a future digest)
- lens — "Try looking at this from Z perspective" (becomes a future lens)
Multi-round
Each round reloads context (seeing previous round's additions), goes deeper. Stops early if LLM signals convergence.
MCP Tool
storm: { seed?: string, rounds?: number, dry_run?: boolean }
Depends On
Acceptance
Summary
brane storm— divergent brainstorming against accumulated knowledge. "Here's what I know — what's missing? What connections haven't I made? What questions should I be asking?"Why
Brane is purely retrieval right now. It finds what's there but never proposes what isn't. An agent that can only recall is half an agent — it also needs to speculate, question assumptions, and surface blind spots. Bunny's storm does this against markdown files; we do it against the structured graph.
What
CLI
Flags
--rounds <n>— iterative rounds (reload context each round, default: 1)--input <path>— seed from file--dry-run / -n— show what would be created without writing--json / -j— JSON outputFlow
LLM Response Schema
Suggestions
Storm doesn't just create — it suggests next actions:
Multi-round
Each round reloads context (seeing previous round's additions), goes deeper. Stops early if LLM signals convergence.
MCP Tool
Depends On
Acceptance