AI agent frameworks compared — 2026
Data-driven comparison of 11 major AI agent frameworks from the Nerq index of 5M+ assets. Published 2026-08-25.
comparison table
| framework | agents | avg trust | top agent | language | new (30d) |
|---|---|---|---|---|---|
| Anthropic | 7,490 | 60.7 | IBM/mcp-context-forge (86.4) | Python | 0 |
| OpenAI | 6,329 | 59.9 | IBM/mcp-context-forge (86.4) | Python | 0 |
| LangChain | 2,680 | 59.4 | vstorm-co/full-stack-fastapi-n (86.2) | Python | 0 |
| MCP | 2,046 | 60.6 | IBM/mcp-context-forge (86.4) | Python | 0 |
| Ollama | 1,900 | 60.0 | infiniflow/ragflow (82.9) | Python | 0 |
| HuggingFace | 1,238 | 60.3 | Giskard-AI/giskard-oss (85.6) | Python | 0 |
| AutoGen | 1,113 | 59.4 | NVIDIA/NeMo-Agent-Toolkit (81.3) | Python | 0 |
| CrewAI | 809 | 59.2 | vstorm-co/full-stack-fastapi-n (86.2) | Python | 0 |
| LlamaIndex | 465 | 58.0 | topoteretes/cognee (82.5) | Python | 0 |
| A2A | 191 | 59.7 | GoogleCloudPlatform/agent-star (83.5) | Python | 0 |
| Semantic Kernel | 166 | 57.3 | NVIDIA/NeMo-Agent-Toolkit (81.3) | 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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Data from the Nerq index. JSON: /v1/agent/stats · API docs · all reports