Local LLaMA Email Agent is an open-source Python tool that uses a LLaMA model to load your inbox, summarize threads, and draft email replies. It runs entirely locally, preserving privacy, and leverages a vector store for memory and context across conversations.
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Local LLaMA Email Agent
Local LLaMA Email Agent is an open-source Python tool that uses a LLaMA model to load your inbox, summarize threads, and draft email replies. It runs entirely locally, preserving privacy, and leverages a vector store for memory and context across conversations.
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What is Local LLaMA Email Agent?
Local LLaMA Email Agent connects to your mailbox (Gmail API or mbox), ingests incoming messages, and builds a local context with vector embeddings. It analyzes threads, generates concise summaries, and drafts reply suggestions tailored to each conversation. You can customize prompts, adjust tone and length, and expand capabilities with chaining and memory. Everything runs on your device without sending data to external services, ensuring full control over your email workflow.
Who will use Local LLaMA Email Agent?
- Privacy-conscious professionals
- Small business owners
- Developers and engineers
- Open-source enthusiasts
- Remote workers managing high email volumes
How to use the Local LLaMA Email Agent?
- Step1: Clone the repository and navigate into the folder.
- Step2: Install Python 3.8+ and run pip install -r requirements.txt.
- Step3: Configure Gmail API credentials or provide an mbox file path.
- Step4: Adjust settings in config.yaml (model path, memory store, prompts).
- Step5: Run python email_agent.py to ingest and index messages.
- Step6: Use the CLI to view threads, ask for summaries, or generate reply drafts.
- Step7: Review and send generated replies manually or via API integration.
Platform
- Linux
- Mac
- Windows
Local LLaMA Email Agent's Core Features & Benefits
The Core Features
- Local inbox ingestion via Gmail API or mbox
- Thread summarization with LLaMA
- Contextual reply drafting
- Customizable prompts and tone settings
- Vector-based memory store for context persistence
The Benefits
- Full privacy—runs entirely on your device
- No external data sharing
- Customizable and extensible open-source code
- Faster draft generation for high email volumes
- Context continuity across sessions
Local LLaMA Email Agent's Main Use Cases & Applications
- Automating daily email responses
- Quickly summarizing long conversation threads
- Drafting follow-up emails after meetings
- Maintaining context over multi-thread discussions
- Reducing inbox overload for support teams
FAQs of Local LLaMA Email Agent
Local LLaMA Email Agent Company Information
- Isaiah Shall
Local LLaMA Email Agent Reviews
5/5
Local LLaMA Email Agent's Main Competitors and alternatives?
Superhuman AI
Mailbutler
Hey AI
Gmail’s Smart Compose
Flowrite
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