nanbingxyz/5ire

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model...

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Summary Information

Updated 17 minutes ago
Added to GitGenius on September 12th, 2026
Created on January 6th, 2024
Open Issues & Pull Requests: 78 (+0)
GitHub issues: Enabled
Number of forks: 434
Total Stargazers: 5,374 (+0)
Total Subscribers: 27 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 9.4 hours
Mean response time: 4.4 days
90th percentile: 9.7 days
Tracked items: 314

Maintainer activity

2 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits.

How this project is maintained

94% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in about 5 hours, while "next version" waits about 32 hours. Three people close 91% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 71
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 400 days
Stale 30+ days: 69
Stale 90+ days: 67

Recent activity

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

Top labels

  • bug (122)
  • enhancement (119)
  • next version (14)
  • in-review (8)
  • good first issue (6)
  • onlydust-wave (6)
  • planned (5)
  • wontfix (3)

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Detailed Description

5ire is a cross-platform desktop AI assistant and Model Context Protocol client that works with major LLM service providers while supporting local knowledge bases and tools via MCP servers.

The tool addresses the need for a unified interface to interact with multiple AI models and extend their capabilities through external tools and knowledge sources. It works by implementing the Model Context Protocol standard, allowing users to connect to various LLM providers—including OpenAI, Anthropic, Google, Mistral, DeepSeek, Ollama, and others—while layering in local knowledge bases and tool integrations through MCP-compatible servers.

Developers should choose this tool if they want a single desktop application that avoids vendor lock-in by supporting multiple model providers simultaneously. It suits projects where users need to augment AI interactions with custom tools or private knowledge bases without building a custom integration layer. The tool requires Python, Node.js, and the uv package manager to activate its tools feature, though basic chat functionality works without these dependencies.

The project maintains regular commit activity and has closed issues tracked in its repository. Pull requests are welcomed, and the tool is distributed as free software with an active community presence including a Discord server.