research-agent

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#research-agent

@Xudong07452910: If you've been following AI Scientist recently, I highly recommend this article. Currently, many Research Agents generate a large number of experiments and hypotheses first, then let a Judge select the best. Research often involves, after a failure, figuring out where you went wrong and what areas remain unexplored. …

X AI KOLs Timeline · 4d ago Cached

This article recommends paying attention to AI Scientist and discusses how research agents can learn from failures by analogizing to fuzz testing, thereby mapping the unknown and guiding subsequent experiments.

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#research-agent

@PrajwalTomar_: Everyone's sleeping on research agents. Every builder I know has ten ideas in their notes and no clue which one is wort…

X AI KOLs Following · 2026-07-30 Cached

A Web Search Agent on nimble_search automates market research by scanning live public sources to provide structured snapshots including competitors, pricing, user complaints, and market gaps, saving builders from manual tab-hopping.

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#research-agent

@tavilyai: Matthew Stublefield, CEO of Fieldway, wanted to build a research agent that could do work he used to outsource to six-f…

X AI KOLs Following · 2026-07-27 Cached

Matthew Stublefield of Fieldway built a product research agent using Tavily's web search API integrated with Claude Code via MCP, reducing a 5-hour manual cycle to 25 minutes and cutting weeks of work to 10 hours.

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#research-agent

@DanKornas: Building a research agent is one problem. Connecting its search loop, backend, and usable frontend is another. Gemini F…

X AI KOLs Timeline · 2026-07-22 Cached

An open-source full-stack research agent example using Gemini, LangGraph, React, and Google Search, demonstrating an end-to-end workflow with dynamic query generation, reflection loops, and cited answers.

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#research-agent

@DanKornas: Research agents need more than a prompt—they need search, extraction, planning, source tracking, and synthesis. Open De…

X AI KOLs Timeline · 2026-07-22 Cached

Open Deep Research is an open-source Next.js app that combines Firecrawl Search and Extract with a reasoning model to perform iterative web research loops, including search, extraction, planning, source tracking, and synthesis.

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#research-agent

On-Device Deep Research at 4B: Exposure Bounds Faithfulness, Retrieval Bounds Coverage

arXiv cs.AI · 2026-07-15 Cached

This paper investigates what makes a small 4B parameter model's citations faithful when used as an on-device research agent, finding that exposure to more source text improves faithfulness while retrieval recall limits coverage.

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#research-agent

@QingQ77: 开源的"代码即动作"科研智能体,用持久化内核运行真正的 Python/R 代码而不是固定工具表,让研究者靠便宜模型(豆包 ¥9.9/月)复现 Claude Science 级别的科研自动化。 https://github.com/PKU-…

X AI KOLs Timeline · 2026-07-13 Cached

开源的科研智能体 OpenAI4S,通过持久化内核运行真正的 Python/R 代码,结合 JSON 工具编排,让研究者可以用极低成本(豆包 ¥9.9/月)复现 Claude Science 级别的科研自动化。

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#research-agent

@Xudong07452910: Many people talk about Research Agent, and the easiest image to imagine is: give it a bunch of papers and let it come up with a new idea. But this paper reminds me of a critical issue: the quality of an idea often depends on whether it has been placed back into the real literature context. The paper proposes a system called R…

X AI KOLs Timeline · 2026-07-11 Cached

This paper introduces ResearchStudio-Idea, a reusable research ideation skill suite based on analysis of ML conference papers. It includes Paper-Search, Scoop-Check, and IdeaSpark, generating evidence-supported research ideas using 15 patterns extracted from 1,947 papers.

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#research-agent

@LangChain: This agent drafts a cited VC investment memo in ~90 seconds for $0.40. 4 LangGraph nodes powered by the @Perplexity_AI …

X AI KOLs Following · 2026-07-10 Cached

LangChain demonstrates an agent that drafts a cited VC investment memo in ~90 seconds for $0.40 using the Perplexity Agent API and LangGraph, with four parallel research nodes and a synthesizer.

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#research-agent

@X_Ibyte: So i am back with another project and i know i am late but it's a banging one now, So, i have built an research agent f…

X AI KOLs Timeline · 2026-07-09 Cached

Built a research agent from scratch without frameworks, available on GitHub.

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#research-agent

I reimplemented Arbor (a research agent that grows a tree of hypotheses) on LangGraph — an agent that keeps its experiments instead of forgetting what failed

Reddit r/AI_Agents · 2026-07-07

A developer reimplements Arbor, a multi-agent research system from a paper, on LangGraph, sharing lessons about graph structure enforcing invariants and backpropagating insights from failures. The reimplementation, arbor-lg, uses LangGraph's StateGraph and SQLite checkpointer for durability.

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#research-agent

@cevenif: Reminiscing about the hard days of research? Staying up all night refreshing arXiv, tweaking parameters and running code around the clock, spending a week to squeeze out a literature review, losing a lot of hair, and progress crawling like a snail. Now Feynman steps in – just throw a sentence at it and it handles everything: one-click deep search of arXiv, automatic literature review generation thrown right at you…

X AI KOLs Timeline · 2026-07-05 Cached

Feynman is an open-source AI research agent that automates deep arXiv searches, literature review generation, code reproduction, and more. It runs locally, reducing redundant work for researchers.

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#research-agent

@_akhaliq: LiteResearcher A Scalable Agentic RL Training Framework for Deep Research Agent

X AI KOLs Following · 2026-07-01 Cached

LiteResearcher is a scalable reinforcement learning training framework designed for deep research agents.

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#research-agent

@xiaohu: Anthropic launches Claude Science, an AI workbench for scientists with over 60 research skills built in. It is an application installed on your own computer or server: you ask an AI scientific questions in plain language, and it mobilizes dozens of specialized tools to query data, run analyses, draw charts, and draft manuscripts…

X AI KOLs Timeline · 2026-07-01 Cached

Anthropic has launched Claude Science, an AI workbench for scientists with over 60 built-in research skills. It supports local deployment and HPC clusters, and can autonomously draft computing tasks and review results.

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#research-agent

@HuggingPapers: Microsoft Research introduces Arbor A generalist autonomous research agent that uses persistent hypothesis-tree refinem…

X AI KOLs Following · 2026-06-11 Cached

Microsoft Research introduces Arbor, a generalist autonomous research agent that uses persistent hypothesis-tree refinement for cumulative learning, outperforming Codex and Claude Code across six research tasks and achieving 86% Any-Medal on MLE-Bench Lite.

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#research-agent

@DanKornas: Complex research agents get messy fast: planning, search, RAG, code execution, feedback, and final reports all need to …

X AI KOLs Timeline · 2026-06-10 Cached

DeepResearch is an open-source multi-agent research tool built with Spring AI Alibaba that converts queries into structured reports using dynamic planning, multi-agent roles, hybrid RAG, and Docker-based execution.

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#research-agent

@tavilyai: Tavily Deep Research is a single API endpoint that runs multi-step research end-to-end, returning a structured, source-…

X AI KOLs Following · 2026-06-08 Cached

Tavily announces its Deep Research API, a single endpoint that performs multi-step research end-to-end and returns structured, source-cited reports. The API supports custom files, output schemas, and configurable research modes.

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#research-agent

An autonomous research agent was the #1 contributor in OpenAI's Hiring Competition Parameter Golf (by merged records)[R]

Reddit r/MachineLearning · 2026-06-05

An autonomous research agent built by Weco became the top contributor by volume of merged records in OpenAI's Parameter Golf competition, demonstrating effective human-agent collaboration.

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#research-agent

Recursive Self-Improvement for Skills (Skill RSI)

Reddit r/AI_Agents · 2026-06-03

Skill RSI is a free tool that recursively evaluates and improves AI skills via procedural evaluations and a research agent, supporting standalone or Codex plugin usage.

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#research-agent

@LangChain: This macroeconomic research agent powered by Deep Agents, LangSmith, and the @youdotcom Finance Research API: Analyzes …

X AI KOLs Following · 2026-06-01 Cached

LangChain showcases a macroeconomic research agent built with Deep Agents, LangSmith, and the You.com Finance Research API that analyzes GDP data, detects anomalies, and investigates structural and cyclical drivers at the sector level, producing structured, cited briefings.

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