Awesome GitHub RepositoriesResearch APIs

GPT Researcher is an autonomous agent framework designed to automate the process of gathering, synthesizing, and documenting information from diverse web and local sources. It functions as a research-oriented execution environment that orchestrates specialized agents to perform complex, multi-branch research tasks, transforming raw data into structured, factual, and cited reports. The project distinguishes itself through a graph-based orchestration layer that manages state transitions and information flow between specialized agents. It employs recursive tree-search execution to explore comple

Local Deep Research is an autonomous research system consisting of an LLM research agent, a local model orchestrator, and a multi-engine search aggregator. It is designed to execute deep research by decomposing complex questions into atomic facts and synthesizing cited reports from academic, technical, and private document sources. The system features an encrypted research workspace that ensures zero-knowledge privacy through isolated, per-user encrypted databases. It utilizes a local RAG knowledge base to index research sources into searchable vector stores, allowing for retrieval-augmented

Deep Searcher is an open-source retrieval-augmented generation engine that indexes private documents into a vector database and uses large language models to answer complex questions with cited reasoning. It functions as both a command-line interface and a web API research tool, enabling users to load data and generate comprehensive reports by combining indexed private information with LLM-powered analysis. The system distinguishes itself through a plugin-based provider architecture that supports multiple embedding models, LLM providers, vector databases, and file loaders as interchangeable c

PraisonAI is an autonomous AI agent platform that coordinates multiple LLM-powered agents for research, planning, and execution of complex workflows. It functions as a multi-agent orchestration framework, a workflow builder, and a Model Context Protocol server, while also providing retrieval-augmented generation through vector knowledge bases. Agents can interact via CLI, web, or standardized protocols with sandboxed code execution. The platform distinguishes itself with a rich set of agent communication protocols, including A2A, REST, WebSocket, voice and telephony integration, and MCP, allo

Deep research ist ein automatisiertes System zur Forschungsgenerierung, das große Sprachmodelle und Websuchmaschinen nutzt, um umfassende Berichte und Deep-Dive-Analysen zu komplexen Themen zu synthetisieren. Es kombiniert Echtzeit-Websuchergebnisse mit hochgeladenen lokalen Dokumenten, um generierte Inhalte auf spezifischen Fakten zu fundieren. Das System verwendet einen iterativen Forschungsworkflow, um Berichte durch einen schrittweisen Prozess des Bearbeitens, Aktualisierens und Neustartens spezifischer Forschungsphasen zu verfeinern. Es kann unstrukturierte Berichtsdaten in Wissensgraph-Visualisierungen umwandeln, um Beziehungen zwischen verschiedenen Erkenntnissen abzubilden und die Struktur eines Forschungsprojekts zu organisieren. Zu den Funktionsbereichen gehören die Integration mehrerer KI-Modelle und Suchmaschinen, die Verwendung spezialisierter Vorlagen zur Definition des Forschungsumfangs sowie die Verwaltung der Forschungshistorie. Das System unterstützt zudem das Model Context Protocol, um Forschungsfähigkeiten und Datenströme mit externen Tools zu verbinden.