tcsenpai/agenticSeek
1
0
Fork 0
mirror of https://github.com/tcsenpai/agenticSeek.git synced 2025-06-06 11:05:26 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Martin 2025-03-10 10:17:32 +01:00 committed by GitHub
parent 073eebfd17
commit a34256f653
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 17 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

27
README.md
View File

@ -1,7 +1,7 @@
# AgenticSeek: Fully local AI Assistant Powered by Deepseek R1 Agents.
# AgenticSeek: Local AI Assistant Powered by Deepseek R1 Agents.
**A fully local AI assistant** using AI agents. The goal of the project is to create a truly Jarvis like assistant using reasoning model such as deepseek R1.
**A fully local alternative to Manus AI**, a voice-enabled AI assistant that codes, explores your filesystem, and correct it's mistakes all without sending a byte of data to the cloud. The goal of the project is to create a truly Jarvis like assistant using reasoning model such as deepseek R1.
> 🛠️ **Work in Progress** – Looking for contributors! 🚀
---
@ -12,18 +12,18 @@
- ️**Voice-enabled**: Speak and interact naturally
- **Filesystem interaction**: Use bash to interact with your filesystem.
- **Coding abilities**: Code in Python, C, Golang, and soon more
- **Trial-and-error**: Automatically fixes code or command upon execution failure
- **Trial-and-error**: If a command or code fails, the assistant retries to fixes it automatically, saving you time.
- **Agent routing**: Select the best agent for the task
- **Multi-agent (On Dev branch)**: For complex tasks, divide and conquer with multiple agents
- **Tools:**: All agents have their respective tools ability. Basic search, flight API, files explorer, etc...
- **Web browsing (not implemented yet | Hight priority task)**: Browse the web autonomously to conduct task.
- **Memory&Recovery**: Compress conversation over time to retain usefull information, recover conversation session.
- **Memory&Recovery**: Compress conversation over time to retain useful information, recover conversation session.
---
## Run locally
**We recommand you use at least deepseek 14b, as smaller small will have trouble using tool and forget quickly the conversations.**
**We recommend using at least Deepseek 14B—smaller models struggle with tool use and memory retention.**
### 1️⃣ **Install Dependencies**
```sh
@ -103,11 +103,18 @@ python3 main.py
## Provider
Currently the only provider are :
- ollama -> Use ollama running on your computer. Ollama program for running locally large language models.
- server -> A custom script that allow you to have the LLM model run on another machine. Currently it use ollama but we'll switch to other options soon.
- openai -> Use ChatGPT API (not private).
- deepseek -> Deepseek API (not private).
## Providers
The table below show the available providers:
| Provider | Local? | Description |
|-----------|--------|-----------------------------------------------------------|
| Ollama | Yes | Run LLMs locally with ease using ollama as a LLM provider |
| Server | Yes | Host the model on another machine, run your local machine |
| OpenAI | No | Use ChatGPT API (non-private) |
| Deepseek | No | Deepseek API (non-private) |
| HuggingFace| No | Hugging-Face API (non-private) |
To select a provider change the config.ini: