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State of AI Assets Q1 2026 — 143K agents, 17K MCP servers, all trust scored

State of AI Assets — Q1 2026

The first open census of the AI agent ecosystem. 5M+ assets. 143K agents & tools. All trust scored.

We built Nerq to answer a simple question: what's actually out there in the AI agent ecosystem, and how much of it can you trust?

After crawling six registries — GitHub, npm, PyPI, HuggingFace, Docker Hub, and MCP registries — we now have an answer. Here's what we found.


The numbers

4,919,620 AI assets indexed. Of those, 143,642 are the executable components — agents, tools, and MCP servers — that power the emerging agentic economy.

Every asset receives a Trust Score (0–100) based on security, maintenance, popularity, documentation, and ecosystem signals.

Total AI assets 4,919,620
Agents & tools 143,642
MCP servers 17,468
Avg trust score 65.5 / 100
High trust (70+) 12.9%

What's in the index

Most of the 4.9M assets are ML models (2.6M), HuggingFace Spaces (1M), and datasets (795K). The actionable layer — what actually does things — is smaller but growing fast:

  • 66,092 agents (autonomous software that acts)
  • 60,082 tools (packages agents use)
  • 17,468 MCP servers (tool servers for LLMs)

What agents do

Coding dominates. Infrastructure and DevOps are second and third — agents are increasingly used for operational automation, not just chat.

Category Count
Coding 10,939
Infrastructure 3,552
DevOps 3,524
Communication 2,955
AI tool 2,262
Finance 2,132
Research 1,909
Content 1,277
Marketing 1,253
Data 1,199
Security 1,160
Healthcare 791
Education 751
Productivity 718

How they're built

Anthropic SDK leads. OpenAI is close behind. LangChain is the dominant orchestration framework. MCP (Model Context Protocol) already ranks 4th — a strong adoption signal for Anthropic's tool protocol.

Framework Agents
Anthropic 7,072
OpenAI 5,927
LangChain 2,546
MCP 1,932
Ollama 1,785
HuggingFace 1,126
AutoGen 1,065
CrewAI 780
LlamaIndex 424

Python dominates at 51% of agents with known languages. TypeScript is second at 22%, driven by MCP server development and npm packages.


Where they come from

Registry Share
HuggingFace 35.5%
GitHub 21.4%
npm 21.4%
PyPI 17.3%
MCP registries 1.4%

Trust & quality

12.9% of agents score 70+ (high trust). 87.1% score 40–69 (medium). Almost none score below 40.

The average trust score is 65.5 / 100 — decent but with significant room for improvement across the ecosystem.

Trust is computed from five pillars:

  • Security (30%) — vulnerabilities, dependency audit, code patterns
  • Maintenance (25%) — commit recency, release frequency, issue response
  • Popularity (20%) — stars, downloads, forks, community size
  • Documentation (15%) — README quality, API docs, examples
  • Ecosystem (10%) — protocol support, integrations, interoperability

Top 10 most trusted agents

Agent Score Stars
SWE-agent/SWE-agent 92.5 18,516
microsoft/qlib 92.4 37,615
nanoclaw 92.1 7,735
FunnyWolf/agentic-soc-platform 91.3 579
ccmanager 90.9 831
microsoft/azure-devops-mcp 90.3 1,291
opal 90.2 5,422
GoogleCloudPlatform/agent-starter-pack 90.1 5,761
QwenLM/qwen-code 89.7 20,060
RooCodeInc/Roo-Code 89.5 22,330

Top 10 MCP servers

Server Score Stars
williamzujkowski/strudel-mcp-server 92.9 158
laravel/boost 91.2 3,275
harbor 90.5 2,424
laravel/mcp 90.0 679
CursorTouch/Windows-MCP 89.0 4,390
Ansvar-Systems/EU_compliance_MCP 88.8 45
54yyyu/zotero-mcp 88.1 1,461
tavily-ai/tavily-mcp 88.1 1,218
cyproxio/mcp-for-security 88.1 553
minecraft-mcp-server 87.8 467

Try it

All data is free, no auth required.

Search agents:

curl https://nerq.ai/v1/agent/search?q=langchain&min_trust=60
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Check trust on any agent:

curl https://nerq.ai/v1/agent/kya/SWE-agent
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Get ecosystem stats:

curl https://nerq.ai/v1/agent/stats
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Benchmark a category:

curl https://nerq.ai/v1/agent/benchmark/coding
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Links

Data as of 2026-03-09. Nerq indexes continuously — numbers update daily.

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