AI agent frameworks compared — 2026
Data-driven comparison of 11 major AI agent frameworks from the Nerq index of 5M+ assets. Published 2026-07-30.
comparison table
| framework | agents | avg trust | top agent | language | new (30d) |
|---|---|---|---|---|---|
| Anthropic | 7,490 | 61.3 | IBM/mcp-context-forge (86.4) | Python | 0 |
| OpenAI | 6,329 | 60.8 | IBM/mcp-context-forge (86.4) | Python | 0 |
| LangChain | 2,680 | 60.5 | vstorm-co/full-stack-fastapi-n (86.2) | Python | 0 |
| MCP | 2,046 | 60.7 | IBM/mcp-context-forge (86.4) | Python | 0 |
| Ollama | 1,900 | 61.1 | topoteretes/cognee (82.5) | Python | 0 |
| HuggingFace | 1,238 | 61.1 | topoteretes/cognee (82.5) | Python | 0 |
| AutoGen | 1,113 | 60.5 | ccmanager (84.3) | Python | 0 |
| CrewAI | 809 | 60.5 | vstorm-co/full-stack-fastapi-n (86.2) | Python | 0 |
| LlamaIndex | 465 | 58.5 | topoteretes/cognee (82.5) | Python | 0 |
| A2A | 191 | 60.1 | GoogleCloudPlatform/agent-star (83.5) | Python | 0 |
| Semantic Kernel | 166 | 57.8 | 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.
related
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