Tom Doerr - LLM Agent Systems Landscape 2025 - April 2025
FreeLLM Agent Systems Landscape 2025
FreeFree tier
Outputs: image
LinksX
About Tom Doerr - LLM Agent Systems Landscape 2025 - April 2025
A visual landscape map of LLM agent systems in 2025, created by Tom Doerr. The map was generated using OpenAI DeepResearch and Anthropic's Sonnet 3.7. It is part of the Awesome-AI-Market-Maps collection on GitHub, providing a high-level overview of the agent systems ecosystem.
Key Features
Comprehensive visual overview of LLM agent systems in 2025
Categorization of various agent frameworks, tools, and players
Created using AI assistance: OpenAI DeepResearch and Sonnet 3.7
Freely available as a static image map
Pros & Cons
Pros
- Provides a visual, at-a-glance summary of a complex ecosystem
- Free and open source (image is publicly accessible)
- Created with state-of-the-art AI, reflecting a modern perspective
- Part of curated Awesome-AI-Market-Maps collection
Cons
- Static image may become outdated as the field evolves rapidly
- Limited depth; no interactive or detailed information beyond what is shown
- Represents a single author's curation, may not include all perspectives
Best For
Gaining a high-level understanding of the LLM agent ecosystemResearching the AI agent market landscape and key playersIdentifying major frameworks and tools in the agent systems spaceEducational reference for AI developers and researchers
FAQ
What is this map about?
It is a visual landscape map of LLM agent systems in 2025, created by Tom Doerr. It shows the ecosystem of agent frameworks, tools, and players.
How was it created?
The map was created using OpenAI DeepResearch and Anthropic's Sonnet 3.7, as credited by the author in the X post.
Where can I find this map?
The map is shared as an image on X (Twitter) and is part of the Awesome-AI-Market-Maps GitHub collection.