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README

Agentic AI Landscape and Trends

Webiste Blog

🧐 Latest Blog: Agentic AI 2026: When the Hackathon Fever Cools Down


Agentic AI Landscape 2026

The 2026 landscape follows a three-layer Agentic AI architecture: Agent Infra organizes the application, framework, runtime, and tool ecosystem; Model Infra covers the data, training, serving, and deployment stack; and Large Models provide the foundation that powers the layers above.

The landscape highlights the projects that are currently most representative of each ecosystem rather than attempting to cover every project. Visit InclusionAI Insights for more complete and dynamic Agentic AI ecosystem rankings, project data, and developer details.

Agent Infra Landscape 2026

Model Infra Landscape 2026

Large Models Landscape 2026


Maintaining The Agentic AI Projects

We aim to continuously maintain and expand data/agentic-ai-projects.csv with noteworthy projects across the Agentic AI ecosystem. If you think an important project is missing, please share it through our dedicated issue tracker.

Acknowledgement

This project was initiated by Ant Open Source and InclusionAI to better understand the evolution of the large language model development ecosystem through community data analysis. We aim to surface emerging trends and highlight the projects shaping the Agentic AI landscape.

We are grateful for the support and feedback from the open-source community, and for the data support provided by OpenDigger. We look forward to growing this work together through open participation.

Core symbols most depended-on inside this repo

svg_text
called by 11
scripts/generate_agentic_insight_assets.py
profile_value
called by 11
scripts/build_developer_profiles.py
first_existing
called by 8
scripts/build_developer_profiles.py
_word_match
called by 6
scripts/weekly_update.py
first_present
called by 6
scripts/publish_yuque_mcp.py
find_value
called by 6
scripts/publish_yuque_mcp.py
exact_tool
called by 6
scripts/publish_yuque_mcp.py
rows_to_dicts
called by 5
scripts/analyze_hf_hub_stats.py

Shape

Function 142
Method 13
Class 3

Languages

Python96%
TypeScript4%

Modules by API surface

scripts/weekly_update.py67 symbols
scripts/publish_yuque_mcp.py36 symbols
scripts/build_developer_profiles.py22 symbols
scripts/generate_agentic_insight_assets.py10 symbols
scripts/pptx/pptx-theme.mjs7 symbols
scripts/pptx/insert_fullbleed_image_slide.py6 symbols
scripts/fetch_projects_info.py5 symbols
scripts/analyze_hf_hub_stats.py2 symbols
scripts/test_weekly_update.py1 symbols
scripts/fetch_readmes.py1 symbols
scripts/classify_projects.py1 symbols

For agents

$ claude mcp add agentic-ai-landscape \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact