Provides local, evidence-aware research memory with human review, revision history, and an inspector, allowing assistants to preserve source reports, inferences, assumptions, and evidence across sessions.
Provides Claude Code with local-first multimodal semantic search across documents, code, images, and video, plus multi-engine web research with active counter-evidence hunting and source-verified, extract-only briefings.
Enables AI agents to perform deep research across multiple sources, arbitrating consensus while evaluating source authority and detecting contradictions. It integrates via MCP with clients like Claude Desktop and Cursor to deliver deterministic, structured research dossiers.
Enables coding agents to run local-first web research: intent-routed search across independent engines with reranking, a multi-stage fetch/crawl ladder, and document extraction. Results come back as signed-cursor, citation-bearing evidence envelopes, with an optional separately enabled profile for browser click/type actions.
Enables AI agents to conduct local, auditable opportunity discovery by collecting public discussions, tracing claims to exact quotes and source provenance, testing claims with counterevidence, and exporting deterministic evidence packs.
Gives any MCP client 27 tools for turning scattered feeds, forums, and media into a persistent, searchable evidence corpus, so an agent can search and import evidence, verify claims with independent-source counting and citation checks, and run multi-round research that produces cited, revisable reports. It also supports adaptive retrieval widening, tiered evidence where only author-written sections count as sources, and honest degradation when no LLM key is available.
