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puppyone-ai / DeepWideResearch

Agentic RAG for any scenario. Customize sources, depth, and width

Why this job: says: rag; topics: rag

Deep & Wide Research Chat Interface

What it does

  • Deep × Wide Control. Tune the depth of reasoning and breadth of information sources to perfectly match any RAG scenario, from quick chats to in-depth analysis.
  • Predictable Cost Management. No more surprise bills. Cost is a transparent function of your Deep × Wide settings, giving you full control over your budget.
  • MCP Protocol Native Support. Built on the Model Context Protocol for seamless integration with any compliant data source or tool, creating a truly extensible and future-proof agent.
  • Self-Hosted for Maximum Privacy. Deploy on your own infrastructure to maintain absolute control over your data and meet the strictest security requirements.
  • Hot‑Swappable Models. Plug in OpenAI, Claude, or your private LLM instantly.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 4 months ago
Stars
290
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
TypeScript
72% of the code

Is it looked after?

Contributors
0
Last 90 days
Issues
None
No issues filed
Pull requests
9 merged
1 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • TypeScript 72%
  • Python 26%
  • HTML 1%
  • CSS 1%

Topics

  • agent
  • agentic-workflow
  • mcp
  • rag
  • rag-chatbot

Project record

  • JobRAG and search
  • StatusListed
  • Commits186
  • Forks8
  • Watching0
  • Stars in 28 days0
  • CreatedSep 30, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

Type to search.

Try