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DeepTrust — Agent context

What this is: TypeScript research agent (LangGraph state graph + local LLM + Next.js). Plan → audit → tools → synthesize. Real-time workspace UI with SSE streaming and context/knowledge upload.

Where the truth lives: Structure and features change over time. Prefer these for current details:

  • README.md — Overview, stack, project structure, API, frontend, run/config.
  • docs/ARCHITECTURE.md — Low-level design: state machine, nodes, routing, LLM layer, SSE protocol, frontend architecture.

Rough layout (may evolve):

  • lib/agent/ — Graph, state, nodes, LLM client (worker thread), utils.
  • app/ — Next.js app; page.tsx = workspace UI; app/api/ = research + model endpoints.
  • dist/llm/ — Built worker (from npm run build:worker).

Commands: npm run build:worker before first run; npm run dev to develop; npm run build then npm run start for production.

When editing: Follow existing patterns in the area you change. For agent graph or state, check lib/agent/state.ts and lib/agent/graph.ts; for API/streaming, see the route handlers and README/ARCHITECTURE.