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View All on GitHub QA on large models (15B+): verify fit, load and agentic behaviour above what a 16 GB machine can hold 14 days ago
help wanted
Run open-source LLMs locally on your desktop. Private, offline, no account — macOS, Windows, Linux.
Python
#desktop-app#electron#fastapi#knowledge-base#llama-cpp#llm#local-ai#mlx#offline#open-source#privacy#rag
help wanted
Run open-source LLMs locally on your desktop. Private, offline, no account — macOS, Windows, Linux.
Python
#desktop-app#electron#fastapi#knowledge-base#llama-cpp#llm#local-ai#mlx#offline#open-source#privacy#rag
Export a conversation as a Markdown file 17 days ago
enhancement good first issue
Run open-source LLMs locally on your desktop. Private, offline, no account — macOS, Windows, Linux.
Python
#desktop-app#electron#fastapi#knowledge-base#llama-cpp#llm#local-ai#mlx#offline#open-source#privacy#rag
Search across conversation history 17 days ago
enhancement good first issue
Run open-source LLMs locally on your desktop. Private, offline, no account — macOS, Windows, Linux.
Python
#desktop-app#electron#fastapi#knowledge-base#llama-cpp#llm#local-ai#mlx#offline#open-source#privacy#rag
enhancement good first issue
Run open-source LLMs locally on your desktop. Private, offline, no account — macOS, Windows, Linux.
Python
#desktop-app#electron#fastapi#knowledge-base#llama-cpp#llm#local-ai#mlx#offline#open-source#privacy#rag