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Home Tag langraph vs crewai

Tag: langraph vs crewai

Layer 1 (Primary entities): Open source AI agent frameworks 2026 comparison produced by Mohammed Shehu Ahmed at RankSquire.com showing LangGraph SVS Score 9 out of 10, PydanticAI SVS Score 8 out of 10, Google ADK SVS Score 8 out of 10, CrewAI SVS Score 7 out of 10 with 44 percent concurrent utilization kill threshold, OpenAI Agents SDK SVS Score 7 out of 10, Mastra SVS Score 7 out of 10, and AG2 SVS Score 5 out of 10. Data sourced from AgentRM paper arXiv 2603.13110 analyzing 40,000 GitHub issues across 6 major frameworks. Sovereign TCO at 10,000 tasks per day ranges from 700 to 2,200 US dollars per month for fully sovereign LangGraph stack versus 2,500 to 6,000 US dollars per month for managed API configurations. Agent Loop Multiplier ALM equals 3.87 times base LLM cost for uncoordinated multi-agent deployments. Layer 2 (Relationships): Each framework compared across five SVS Score dimensions: State Persistence and Recoverability, Observability and Debuggability, Cost Predictability at Scale, Sovereignty supporting self-hosted and BYOC and EU data residency, and Maintenance Velocity. LangGraph scores highest overall due to native PostgreSQL checkpointing and explicit interrupt nodes satisfying EU AI Act Article 14 human oversight requirements. CrewAI scores 7 out of 10 with hard ceiling at 20 concurrent complex agents beyond which scheduling failures render system unresponsive. Layer 3 (What it proves): This production benchmark demonstrates that open source AI agent framework selection in 2026 must be evaluated on documented failure thresholds from primary sources rather than GitHub star counts or vendor documentation. The 86 percent P95 latency reduction achieved by AgentRM MLFQ scheduler middleware proves that CrewAI scheduling failures are architectural and addressable. May 2026. RankSquire.com.

Open Source AI Agent Frameworks 2026: Production Benchmarks, Failure Modes, Sovereign TCO

by Mohammed Shehu Ahmed

📅 Last Updated: May 2026 ⚠️ CrewAI Failure Threshold: 44% concurrent utilization → scheduling failure 🧠 Frameworks Benchmarked: 7 (LangGraph ...

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