AI agent frameworks compared — 2026
Data-driven comparison of 11 major AI agent frameworks from the Nerq index of 5M+ assets. Published 2026-03-12.
comparison table
| framework | agents | avg trust | top agent | language | new (30d) |
|---|---|---|---|---|---|
| Anthropic | 7,067 | 71.6 | williamzujkowski/strudel-mcp-s (92.9) | Python | 3,238 |
| OpenAI | 5,925 | 68.8 | SWE-agent/SWE-agent (92.5) | Python | 2,296 |
| LangChain | 2,546 | 67.9 | FunnyWolf/agentic-soc-platform (91.3) | Python | 969 |
| MCP | 1,932 | 73.0 | williamzujkowski/strudel-mcp-s (92.9) | Python | 1,043 |
| Ollama | 1,784 | 69.4 | FunnyWolf/agentic-soc-platform (91.3) | Python | 729 |
| HuggingFace | 1,126 | 68.8 | FunnyWolf/agentic-soc-platform (91.3) | Python | 443 |
| AutoGen | 1,062 | 68.2 | ccmanager (90.9) | Python | 338 |
| CrewAI | 780 | 67.3 | santosomar/AI-agents-for-cyber (87.4) | Python | 273 |
| LlamaIndex | 424 | 62.3 | xerrors/Yuxi-Know (89.1) | Python | 42 |
| A2A | 168 | 65.6 | GoogleCloudPlatform/agent-star (90.1) | Python | 27 |
| Semantic Kernel | 162 | 61.6 | agent-openai-java-banking-assi (82.8) | Python | 16 |
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