FB208/OpenBidKit_Yibiao

开箱即用的AI标书编写工具,标书AI生成工具,投标工具箱、知识库、标书查重、废标项检查,完全开源免费,欢迎使用

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 22nd, 2026
Created on August 4th, 2025
Open Issues & Pull Requests: 48 (+0)
GitHub issues: Enabled
Number of forks: 793
Total Stargazers: 3,118 (+0)
Total Subscribers: 21 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 47.8 hours
Mean response time: 12.4 days
90th percentile: 39.0 days
Tracked items: 101

How this project is maintained

Roughly one issue in four opened in the past year never receives a reply. 39% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. 57% of tracked open issues have had no activity in three months. 63% of issues opened in the past year have been closed, leaving a working backlog. Three people close 100% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 49
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 84 days
Stale 30+ days: 47
Stale 90+ days: 27

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (59)
  • issue-wiki/status:pending-start (52)
  • bug (26)
  • issue-wiki/status:completed (24)
  • issue-wiki/status:in-progress (4)

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Detailed Description

OpenBidKit Yibiao is an AI-powered proposal writing tool designed to automate and streamline the creation of bid documents and tender submissions.

The tool addresses the time-consuming and complex process of writing competitive bids and proposals by leveraging large language models and retrieval-augmented generation to generate bid content. It combines document generation capabilities with a knowledge base system, allowing users to store and reference previous bid materials. The platform includes features for duplicate detection across proposals, automated checks for disqualifying errors, and a comprehensive toolkit for the bidding workflow. The approach integrates AI writing assistance directly into the document creation process rather than requiring manual composition.

Organizations managing frequent bid submissions, particularly those in industries with standardized tender processes, would benefit from this tool. It suits teams looking to reduce the manual effort in proposal writing while maintaining consistency across submissions. The project is positioned as a complete, open-source solution requiring no licensing fees, making it accessible for teams of any size evaluating proposal automation tools.

Development activity shows consistent engagement with the codebase through regular updates and refinements to core functionality. The project maintains active communication with users through documentation and example materials that demonstrate practical usage patterns. Contributors have focused on expanding the tool's capabilities in document processing and AI integration rather than pursuing incremental feature additions. The maintainers have established partnerships with API service providers to ensure users have reliable access to the underlying language model services required for the tool's operation.