paperpilot: PaperPilot 是一个基于 LangGraph 的个人深度研究系统,通过递归 Deep Research × LLM Wiki × Obsidian

by boluodaixue · Agent Tool · ★ 91

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install paperpilot

git clone https://github.com/boluodaixue/paperpilot.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentresearch-assistant

Quick Facts

Stars91
Forks2
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score62/100
Last Updated2026-09-17
Created2026-08-26
Platformspython
Est. Tokens~15k

About paperpilot

🔬 PaperPilot 统一对话 × 递归 Deep Research × LLM Wiki × Obsidian 把一次性研究,沉淀为可追溯、可问答、可继续生长的长期知识。 📖 项目介绍 大多数研究 Agent 在交付报告后就结束了:下一次提问仍要从头搜索,历史证据散落在会话中,也很难在自己熟悉的知识管理工具里继续整理。 PaperPilot 是一个基于 LangGraph 的个人深度研究系统。统一对话入口先区分普通聊天、当前 Memory 问答、快速联网和深度研究;研究任务由用户确认计划后,再由同质 Research Agent 递归拆解问题、并行检索和汇聚证据。结果写入长期 Markdown Memory,并通过 LLM Wiki 与 Obsidian 进入后续问答、笔记和继续研究流程。 ✨ 四项核心能力 统一对话编排 Web 默认入口会区分普通聊天、当前 Memory...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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