Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.
Agent
Escalation-lane fetcher that drives the user's REAL Chrome browser (via Claude-in-Chrome) for sources headless crawling cannot reach: login-gated pages, bot-walled sites, interactive/infinite-scroll pages, viewer-rendered PDFs, and Google Scholar searches. Drains the hyperresearch escalation queue serially — one item…
Agent
Step 14.5 of the hyperresearch V8 pipeline. Verifies that each sampled citation actually supports its sentence by reading the cited note's body. Receives batches of (sentence, noteid) pairs the mechanical triage could not auto-pass; returns per-pair verdicts (supported / partially-supported / unsupported /…
Agent
Use this agent in Layer 5 of the hyperresearch deep research pipeline. Reads the Layer 4 draft and returns a findings list of places where the draft skates over technical substance that the vault's interim notes could actually support. Spawn ONCE per draft, parallel with dialectic-critic and width-critic.
Agent
Use this agent in Layer 3 of the hyperresearch deep research pipeline. Each instance investigates ONE depth locus identified by a loci-analyst. The agent reads existing vault sources relevant to the locus, fetches new sources as needed (via the hyperresearch-fetcher subagent), and writes ONE interim report note…
Agent
Use this agent in Layer 5 of the hyperresearch deep research pipeline. Reads the Layer 4 draft and returns a findings list of places where the draft ignores, hedges, or straw-mans counter-evidence. Adversarial reading is real reasoning. Spawn ONCE per draft, in parallel with depth-critic and width-critic.
Agent
Use this agent in Layer 5 of the hyperresearch deep research pipeline. Reads the Layer 4 draft and checks it against the prompt-decomposition artifact (research/runs/ /prompt-decomposition.json) produced in Layer 0. Emits findings when atomic items from the prompt are missing, under-covered, out-of-order, or delivered…
Agent
Use this agent in Layer 2 of the hyperresearch deep research pipeline. Reads the width corpus (the sources fetched during the Layer 1 sweep) and identifies 1—8 "depth loci" — specific questions where deeper investigation would meaningfully improve the final report. Spawn 2 of these in parallel; the orchestrator…
Agent
Step 16 agent. Reads the polished final report and writes a JSON file of readability RECOMMENDATIONS (not edits) for the orchestrator to selectively apply. Each recommendation includes the existing text (anchor), the suggested replacement, severity, rationale, and category (merge-paragraphs / break-paragraph /…
Agent
Research fetcher with primary-source-chasing agency. Fetches assigned URLs, reads and summarizes content, extracts structured claims, then follows citation chains and references to discover and fetch primary sources the secondary sources cite. Needs solid comprehension and judgment. Spawn multiple in parallel for bulk…
Agent
Use this agent in Layer 5 of the hyperresearch deep research pipeline. Reads the Layer 4 draft and returns a findings list of topics the width corpus supports but the draft doesn't cover. Spawn ONCE per draft, parallel with dialectic-critic and depth-critic.