AI Agent that researchs the lifes of historical figures and extracts the events into a structured JSON timeline.
Les fonctionnalités principales de bernatsampera/event-deep-research sont : Research Agents.
Les alternatives open-source à bernatsampera/event-deep-research incluent : imbad0202/academic-research-skills — This project is an LLM research workflow framework and academic writing automation tool designed to coordinate the… duartecaldascardoso/article-explainer — An intelligent document analysis tool that helps you understand complex technical articles through AI-powered… guy-hartstein/company-research-agent — A multi-agent tool that generates comprehensive company research reports. The platform uses a pipeline of AI agents to… iblameandrew/local-deepsearch-academic — I built this tool to solve a problem I know well: you need to dive into a new research topic, but you're faced with a… bytedance/deer-flow — Deer-flow is an autonomous agent orchestration platform designed to manage multi-step workflows where AI agents… assafelovic/gpt-researcher — GPT Researcher is an autonomous agent framework designed to automate the process of gathering, synthesizing, and…
This project is an LLM research workflow framework and academic writing automation tool designed to coordinate the research, drafting, and peer-review processes of scholarly papers. It functions as a scientific manuscript auditor and an AI peer review system that uses multi-agent evaluation to verify citation integrity and score manuscripts against quality rubrics. The system distinguishes itself through a verification suite that employs vision models for figure fidelity auditing and anchor links for claim support verification. It includes a writing style calibration utility that analyzes pre
An intelligent document analysis tool that helps you understand complex technical articles through AI-powered explanations, analogies, and summaries. A good introduction to the Swarm Architecture from LangChain.
A multi-agent tool that generates comprehensive company research reports. The platform uses a pipeline of AI agents to gather, curate, and synthesize information about any company.
Deer-flow is an autonomous agent orchestration platform designed to manage multi-step workflows where AI agents reason, plan, and execute tasks. It functions as a development framework for building agents that utilize various large language models to solve complex problems through structured, sequential, and parallel reasoning. The platform distinguishes itself through a secure, sandboxed execution engine that isolates generated code and system operations from the host environment. This architecture allows agents to safely test and validate solutions within ephemeral containers, ensuring that