What is local-deep-research built with?
local-deep-research is a Python repo built with anyio, FastAPI, starlette, uvicorn, werkzeug, and 1 more. It reaches its data with peewee, SQLAlchemy, and alembic, signs people in with ecdsa, id, keyring, and pyjwt, uses AI through tiktoken, LangChain, langchain-openai, faiss-cpu, langchain-ollama, and 5 more, makes its content with docutils, markdown-it-py, mdurl, nh3, readme-renderer, and 22 more, validates its data with annotated-types, beartype, jsonschema, jsonschema-specifications, referencing, and 3 more, is tested with patchright, Pytest, Vitest, happy-dom, playwright, and 2 more, deploys with boto3, botocore, docker, OpenTelemetry, opentelemetry-instrumentation, and 5 more, and uses gitdb and s3transfer. It has 1,820,812 written lines, with 3,252 test files.
Read on November 14, 2026, at commit 3d6e615. Read it as markdown
The card says what it's built with. Its whole map opens it up: every part of the code and how it connects to the rest.
Frontend
The base 1
- anyio1 file
Interface 4
- Chart.js1 file
chartjs-adapter-date-fns1 file
chartjs-plugin-annotation1 file
- Rich
Icons 2
- bootstrap-icons1 file
- Font Awesome1 file
Backend
The base 1
Data 2
Data access 3
- SQLAlchemy101 files
peewee
- alembic1 file
AI 9
- LangChain81 files
langchain-openai5 files
langchain-ollama3 files
langchain-anthropic2 files
crawl4ai1 file
mcp1 file
sentence-transformers1 file
- faiss-cpu4 files
- tiktoken
Services 1
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Frequently asked questions
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