LearningCircuit/local-deep-research is the privacy-respecting answer to OpenAI Deep Research and Perplexity's research mode. Everything runs locally and encrypted — no telemetry, no third-party API calls unless you explicitly configure cloud LLMs. The headline benchmark is ~95% on SimpleQA tested on Qwen3.6-27B running on a single RTX 3090, putting it inside the band that hosted research products achieve at 100× the cost. The agent searches across 10+ sources — arXiv, PubMed, the open web, and your own private documents — and synthesizes citations into a structured report. Picked up +564 stars on May 7, 2026, riding the broader 'local agents that don't phone home' wave alongside Hermes Agent and the DeepSeek-V4 inference stack. MIT licensed, deployable via Docker / Unraid / direct install. The natural fit is for security researchers, journalists, healthcare professionals, and anyone who needs deep research without their queries leaving the machine.
Local Deep Research solves the privacy gap in the deep-research agent category. OpenAI Deep Research, Perplexity, and similar hosted services run your queries through their infrastructure — fine for most users, but a non-starter for journalists, healthcare workers, security researchers, and anyone whose queries themselves contain confidential information.
LearningCircuit’s project ships an end-to-end deep-research loop — query decomposition, multi-source search, evidence synthesis, citation tracking — that runs against any local LLM via Ollama or llama.cpp. The benchmark headline is ~95% on SimpleQA with Qwen3.6-27B on a single RTX 3090, which puts the local stack inside the same accuracy band as the hosted alternatives at orders-of-magnitude lower marginal cost.
The repo accelerated this week alongside the broader local-agents wave: DeepSeek-TUI hitting #1 on GitHub trending, Hermes Agent’s local-AGI stack continuing to pick up stars, and the antirez/ds4 Metal inference engine putting V4 Flash on a MacBook with 128GB of unified memory. Local Deep Research is the research-flavored corner of that wave.
Local Deep Research is a standalone agent — install via Docker, point it at your local Ollama or llama.cpp endpoint, and it handles the rest. It complements rather than replaces coding-agent harnesses; if you’re running DeepSeek-TUI for code work, Local Deep Research slots in alongside it for the research half of your workflow.
An AI-powered academic search engine that finds and synthesizes evidence-based answers from peer-reviewed scientific research.
An AI research assistant that helps researchers search, analyze, and synthesize findings from academic papers at scale.
xAI's conversational AI with real-time X (Twitter) data access, web search, and image understanding capabilities.