SDKResearch and knowledge

PraisonAI

Orchestrate research, coding, and automation agents with a small Python setup.

Stars: 8,368
Forks: 1,298
Updated: Updated Jul 10, 2026

SDKResearch and knowledge

PraisonAI

Orchestrate research, coding, and automation agents with a small Python setup.

Stars: 8,368
Forks: 1,298
Updated: Updated Jul 10, 2026

PluginResearch and knowledgeClaude

last30days-skill

@mvanhornPython

Research the past month across social platforms, developer communities, and the web.

Project overview

Ask about a topic and last30days searches recent discussions across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the wider web, then synthesizes cited findings using signals such as votes, comments, or market odds. It can fall back to web-only research without keys, while richer sources require your own API credentials, browser sessions, or helper tools, and it runs in many Agent Skills hosts or as a Claude Desktop MCP bundle.

Stars: 52,131
Forks: 4,539
License: MIT

Web appResearch and knowledgeModel Context Protocol

onyx

@onyx-dot-appPython

Self-host team AI chat, knowledge retrieval, research, and custom agents across LLMs.

Project overview

Onyx is a self-hosted AI workspace for teams that want to use different LLMs through one interface and ground answers in organizational knowledge. It can index application data through more than 50 connectors or connect agents to external systems through MCP, with additional support for research workflows and code execution. Lite mode keeps a smaller chat-and-agents stack, while the standard deployment adds vector and keyword indexes plus background synchronization workers for a fuller knowledge workflow.

Stars: 30,879
Forks: 4,248
License: Not declared

Collection or directoryResearch and knowledgeClaude Code

scientific-agent-skills

@K-Dense-AIPython

Equip AI agents for multi-step scientific research workflows

Stars: 30,633
Forks: 3,083
License: MIT

General agentResearch and knowledge

gpt-researcher

@assafelovicPython

Research web and local sources to produce cited, customizable reports.

Project overview

GPT Researcher plans subquestions, gathers evidence in parallel from the web or local documents, tracks sources, and assembles the findings into long reports with citations and export options. Its model, retriever, and MCP data sources can be customized, but typical setups require provider and search API keys. The project is experimental and explicitly does not present its output as academic advice or a recommendation for research papers.

Stars: 28,242
Forks: 3,816
License: Apache-2.0

PraisonAI

PraisonAI

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