CLI appResearch and knowledge

vexor

Build reusable semantic indexes for files and code, then search via CLI, Python, or MCP.

Stars: 227
Forks: 13
Updated: Updated Jul 13, 2026

CLI appResearch and knowledge

vexor

Build reusable semantic indexes for files and code, then search via CLI, Python, or MCP.

Stars: 227
Forks: 13
Updated: Updated Jul 13, 2026

CLI appResearch and knowledgeLinux

AutoCLI

@nashsuRust

Fetch structured data from dozens of websites with one CLI command.

Project overview

AutoCLI gives scripts and AI agents a single command-line interface for retrieving information from dozens of websites, controlling supported desktop apps, and passing through local tools such as gh or kubectl. Public commands run directly, while authenticated sites reuse an existing Chrome session through the companion extension. Users can also define YAML adapters or generate and sync new adapters through AutoCLI.ai, and the core tool ships as a standalone binary.

Stars: 2,875
Forks: 269
License: Apache-2.0

CLI appResearch and knowledge

mimeo

@K-Dense-AIPython

Turn an expert’s public work into reusable SKILL.md or AGENTS.md guidance.

Stars: 229
Forks: 29
License: MIT

CLI appResearch and knowledgeModel Context Protocol

xint

@0xNykTypeScript

Search, monitor, and analyze X activity from the terminal.

Project overview

xint is a command-line tool for researching X/Twitter without leaving the terminal. It can search posts, watch topics over time, inspect profiles and threads, compare follower changes, and export results as JSONL or CSV for further analysis. The same capabilities can be exposed to agents through its skill and MCP interfaces. Core access requires an X API bearer token, while xAI credentials are optional for AI-assisted analysis and reports.

Stars: 215
Forks: 15
License: MIT

CLI appResearch and knowledgeClaude Code

paper-fetch

@Agents365-aiPython

Resolve DOI or title inputs into paper PDFs with batch-friendly fallbacks.

Project overview

paper-fetch is a dependency-free Python CLI and agent skill that resolves a DOI—or a title first matched through Crossref and Semantic Scholar—into a PDF using a multi-source fallback chain. It supports batch files or stdin, NDJSON streaming, idempotent retries, consistent filenames, and checks for SSRF, valid PDF bytes, and size limits. The final fallbacks can include publisher access and Sci-Hub mirrors, which are enabled by default as a last resort, so users should review source selection and their access rights.

Stars: 151
Forks: 7
License: MIT

vexor

vexor

Project overview

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