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Building AI agents, atomically

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Hi, First, thanks for atomic-agents :-) work nice for me for now. I try demo product finder and try to restrict domain search like : `searxng_tool = SearxNGTool(SearxNGToolConfig( base_url=os.getenv("SEARXNG_BASE_URL"), max_results=5,...

Hi, Thanks for this amazing project. I understand that creating and maintaining docs is extremely time consuming. However, having at least one complete quick start example right in the Readme...

documentation
good first issue

See below stack trace It looks like when images created from instructor.Image.from_path(image_path) and used as input they get saved into AgentMemory. Then once they get reused on subsequent BaseAgent run()...

Hi and thanks for this library! I am trying to understand how it works, what should I call etc.. I will be very grateful if someone can guide me through...

It would be great to define `tool.arun` (binds `run_tool_async`) so that it could be called from, for example, the `fastapi` handler. Locally I did this and it works for my...

I want to test mcp examples and only change the openai model config to use deepseek-chat model, then the mcp stdio example output the following errors. Does it have to...

I was looking for a lightweight agent framework, so a light _langchain_ version. I found an article about your project and tried it out. It is nice and it is...

Currently imports are quite deep. We should make better use of Python modules for this.

Memory is great, its unclear however how messages get added. in most of the examples only the initial message is added, not any subsequent runs - is this automatic? how...

documentation

Is it possible to draw a Graphical representation of the flow in Atomic Agents application ? Is there a method within the Atomic Agent framework to do that?

enhancement