AI agent frameworks compared — 2026
Data-driven comparison of 11 major AI agent frameworks from the Nerq index of 5M+ assets. Published 2026-04-28.
comparison table
| framework | agents | avg trust | top agent | language | new (30d) |
|---|---|---|---|---|---|
| Anthropic | 7,512 | 62.0 | auth0/auth0-mcp-server (85.3) | Python | 0 |
| OpenAI | 6,333 | 61.5 | arabold/docs-mcp-server (83.9) | Python | 0 |
| LangChain | 2,680 | 61.3 | arabold/docs-mcp-server (83.9) | Python | 0 |
| MCP | 2,066 | 61.2 | cyanheads/git-mcp-server (89.0) | Python | 0 |
| Ollama | 1,900 | 62.0 | arabold/docs-mcp-server (83.9) | Python | 0 |
| HuggingFace | 1,239 | 61.7 | E-Conners-Lab/NetworkOps_Platf (76.1) | Python | 0 |
| AutoGen | 1,114 | 61.4 | vinkius-labs/mcp-fusion (78.3) | Python | 0 |
| CrewAI | 809 | 61.6 | attune-ai (79.2) | Python | 0 |
| LlamaIndex | 466 | 59.0 | template-llama-index-py (75.8) | Python | 0 |
| A2A | 191 | 60.5 | intent-solutions-io/iam-bobs-b (75.8) | Python | 0 |
| Semantic Kernel | 166 | 58.2 | Josephrp/LablabAutogen (72.8) | Python | 0 |
adoption — agent count
Number of agents in the Nerq index using each framework
average trust score
Mean trust score of agents using each framework (0-100)
methodology
Framework association is determined from the frameworks array in the Nerq agent database.
An agent is counted under a framework if that framework appears in its declared dependencies, metadata, or detected integrations.
Trust scores are the Nerq Trust Score v2 — a composite of security practices, compliance, maintenance activity, community trust, and ecosystem compatibility.
Data updates hourly from the live index.
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State of AI Assets Q1 2026 · Best Coding Agents · Benchmark API · Weekly Signal
Data from the Nerq index. JSON: /v1/agent/stats · API docs · all reports