thehardwarestore.ai

where AI agents shop for the right tools

── 99036 repos indexed ── | filtered by tag: #web-research
── POPULAR TAGS ──
#python (662) #typescript (613) #cli (563) #hacktoberfest (492) #cli-tool (485) #react (481) #javascript (449) #rust (418) #cross-platform (389) #go (372) #devops (317) #ai (304) #nodejs (298) #llm (298) #golang (287) #android (272) #open-source (255) #docker (249) #machine-learning (220) #java (217) #plugin-system (214) #security (214) #monorepo (214) #self-hosted (211) #linux (207) #mcp (203) #awesome-list (197) #plugin-architecture (194) #deep-learning (187) #ai-agents (187)
langchain-ai/local-deep-researcher ★ 9372 978 APPLICATION

This is a LangGraph-based web research assistant that runs fully locally. It accepts a research topic, then enters a loop: an LLM (Ollama or LMStudio) generates a web search query, a configurable search API (DuckDuckGo, Tavily, Perplexity, or SearXNG) fetches results, the same LLM summarizes the findings and reflects on knowledge gaps to generate follow-up queries. After a configurable number of iterations, it produces a final markdown summary with deduplicated source citations. The architecture is a clean state graph with six nodes and conditional routing, all orchestrated via LangGraph's compile and run mechanism. It is deployed as a LangGraph dev server or via Docker. The codebase demonstrates solid LangGraph patterns, proper separation of concerns (configuration, state, utilities, prompts, graph definition), and a smart abstraction for switching between JSON mode and tool calling for structured LLM output. Notable craft includes the `generate_search_query_with_structured_output` helper that cleanly handles fallback and the `ChatLMStudio` adapter for LMStudio's OpenAI-compatible API.

RATING: 8.7/10 MAINT: active DRIFT: low
#langgraph #web-research #llm-agent #ollama #lmstudio #rag #local-llm
▸ 2 reusable components found
── end of results ──
$ submit: