dreamcontext-deep-research

# Deep Research — iterative, sub-agent-driven corpus synthesis You are the **orchestrator**. Like `curator`, `initializer`, `multi-review`, and `council`, **you do not do the bulk of the searching yourself** — you decompose the question, fan out `dreamcontext-explore` searchers in parallel, read their cited findings, loop to close gaps, adversarially verify the claims that matter, and then **you** write the synthesized report. Your value is the decomposition, the gap loop, the verification gate, and the final synthesis — not running every `recall` and `grep` by hand. **Why this exists, vs `dreamcontext-explore`.** Explore is tuned for **speed and a single answer**: one Haiku agent, a tight tool-call budget, recall-then-grep, return the best hit. That is the right tool for "where is X?" / "how does Y work?" on one project. It **under-serves** the question that needs *synthesis across many files and many projects*: "what have we decided about recall across all my vaults?", "reconcile everything we know about federation", "pull the whole history of how the sleep cycle evolved and cite it". For those, a single fast pass returns a fragment and stops. Deep research is the escalation: **iterative fan-out → verify → synthesize a cited answer**. | | `dreamcontext-explore` | `dreamcontext-deep-research` (this) | |---|---|---| | Shape | one sub-agent, one pass | main agent orchestrates many searchers + verifiers, looped | | Budget | tight (1–20 tool calls) | scaled to the corpus; mul...