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README
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README.md
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README.md
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# 🚀 agenticSeek: Local AI Assistant Powered by DeepSeek Agents
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**A fully local AI assistant** using a swarm of DeepSeek agents, capable of:
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✅ **Code execution** (Python, Bash)
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✅ **Self-correcting code execution**
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✅ **Routing system, select the best agent for the task**
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✅ **Speech-to-text & text-to-speech**
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✅ **Web browsing** (under development, see dev)
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**A fully local AI assistant** using Deepseek R1 agents.
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> 🛠️ **Work in Progress** – Looking for contributors! 🚀
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---
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## 🌟 Why?
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## Features:
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- **Privacy-first**: Runs 100% locally – **no data leaves your machine**
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- ️ **Voice-enabled**: Speak and interact naturally
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- **Self-correcting**: Automatically fixes its own code
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- **Multi-agent**: Use a swarm of agents to answer complex questions
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- **Coding abilities**: Code in Python, Bash, C, Golang, and soon more
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- **Self-correcting**: Automatically fixes errors by itself
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- **Agent routing**: Select the best agent for the task
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- **Multi-agent**: For complex tasks, divide and conquer with multiple agents
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- **Web browsing (not implemented yet)**: Browse the web and search the internet
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- **Knowledge base (not implemented yet)**: Use a knowledge base to answer questions
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---
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- Will try to fix errors by itself
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- Routing system, select the best agent for the task
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- Fast text-to-speech using kokoro.
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- Speech-to-text using distil-whisper/distil-medium.en
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- Memory compression (reduce history as interaction progresses using summary model)
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- Recovery: recover last session from memory
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## UNDER DEVELOPMENT
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- Web browsing
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- Knowledge base RAG
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- Knowledge base RAG
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- Graphical interface
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- Speech-to-text using distil-whisper/distil-medium.en
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prompts/manager_agent.txt
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prompts/manager_agent.txt
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Hello, you are an expert project manager.
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You will have AI agents working for you. Use them efficiently to accomplish tasks.
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You need to have a divide and conquer approach.
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