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

knowledge-base llms mcp mcp-client model-context-protocol
3 Open Issues Need Help Last updated: Jun 27, 2025

Open Issues Need Help

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AI Summary: Implement Bearer token authentication for the Ollama provider within the 5ire AI assistant. This requires modifying the existing Ollama integration to accept and utilize Bearer tokens for API authorization, allowing secure access through Open WebUI.

Complexity: 4/5
enhancement good first issue

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

TypeScript
#knowledge-base#llms#mcp#mcp-client#model-context-protocol

AI Summary: Debug and fix a bug in the 5ire AI assistant where chats unexpectedly move out of their assigned folders after receiving follow-up messages. This requires investigating the chat organization and folder management logic within the application's codebase to identify and correct the issue responsible for the misplacement of chats.

Complexity: 4/5
bug good first issue

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

TypeScript
#knowledge-base#llms#mcp#mcp-client#model-context-protocol

AI Summary: The task is to fix a bug in the 5ire AI assistant where a model name is not mandatory when adding a model to an OpenAI-compatible provider. The bug allows adding models without names, leading to later errors. The fix requires implementing input validation to ensure a model name is always provided and correcting the error message displayed to the user.

Complexity: 4/5
bug good first issue onlydust-wave

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

TypeScript
#knowledge-base#llms#mcp#mcp-client#model-context-protocol