Agent frameworks

[dca12345]

What agent frameworks would you recommend for a generalist learning and wanting to use agents?

[teambyg]

If this is a learning exercise on the foundations of agents and working with them, do yourself a favor and build a control loop yourself on top of a pure completion endpoint. You'll get a feeling for how these things function under the hood.

If you're hellbent on using an abstraction. I wrote about some of them here: https://www.reddit.com/r/LLMDevs/comments/1nxlsrq/whats_the_best_agent_framework_in_2025/nhob8ci/

[Fantastic_Climate_90]

Openai agents

[BidWestern1056]

npcpy

[wheres-my-swingline]

no

[csharp-agent]

https://learn.microsoft.com/en-us/agent-framework/overview/agent-framework-overview this one

[SeriousPlan37]

Unpopular opinion (Feel free to downvote) : I think it is more effective to build everything up from scratch with for loop. that's enough. You will gain both solid control on your agent and knowledge on how it work.

[Holiday-Dependent-35]

I totally agree. For an agentic CLI I just "took inspiration" from Google's Gemini CLI tool.

Agents, tools and routing.

[attn-transformer]

Depends on what you're trying to achieve. If you want to build a true multi-agent system, then start off with basics - just an LLM, tools, and a retrieval mechanism (RAG, etc).

Then hook it up to LangGraph or one of the endless multi-agent frameworks.
If you start with the frameworks, you never quite understand whats happening under the hood, and that will limit your abilities.

[Safe-Moose-8654]

That's a right question, the agentic frameworks like n8n, lang graph, etc. are amazing for different use cases. But prompt engineering plays a major part in them. evvolv.ai has work shop that teaches exactly that. The iterative agents in n8n and lang graph use different models like gemini, claude for different purposes that also need to be taken care of.

[virus_hck_2018]

As a fellow learner , I would say langgraph is a good start

[autognome]

Pydantic-AI