CrewAI vs n8n

LangGraph Outperforms CrewAI and AutoGen in Data Engineering Benchmark

A developer benchmark on 107 real data engineering tasks compares LangGraph, CrewAI, and AutoGen. LangGraph achieves the highest pass rate (97/107) with lower latency and token usage. CrewAI shows higher token consumption and latency, while AutoGen struggles with stateful multi-step operations, leading to frequent failures. The article provides code examples and operational metrics, concluding that LangGraph's explicit graph-based control flow is more reliable and cost-efficient for agentic ETL pipelines.

• LangGraph passed 97/107 tasks, CrewAI 80/107, AutoGen 58/107.
• LangGraph median token usage per task: 2350; CrewAI: 4120; AutoGen: 3160.
• LangGraph mean latency: 13.8s; CrewAI: 21.6s; AutoGen: 29.2s.

Exactly-once Python library prevents duplicate payments

exactly-once is an open-source Python library that guarantees a side effect (for example, paying an invoice) executes at most once per key and replays the stored result on subsequent calls. It provides a @once decorator / context manager, stores with different atomicity guarantees (memory, SQLite, Redis, Postgres SERIALIZABLE), crash quarantine with probers and worker leases, passthrough of provider idempotency keys via current_key(), an onchain adapter keyed by nonce, and wrappers for integrations such as LangGraph nodes and CrewAI tool runs. The project is available on GitHub under MIT and can be installed via pip.

• exactly-once is an open-source Python library that enforces at-most-once execution of side effects per key.
• The library implements a three-state lifecycle for keys: FRESH → IN_FLIGHT → COMMITTED.
• Stores provided include memory, SQLite, Redis, and Postgres (SERIALIZABLE), each with documented atomicity guarantees.

Capability-Based Security Layer for AI Agents

An independent developer built 'Agent Firewall', an open-source capability-based authorization layer for AI agents that issues cryptographically signed, fine-grained permissions with full lifecycle tracking, attenuation, delegation, revocation, and replay protection. The project shipped v0.8 with SQLite-backed lifecycle persistence and includes 1,438 passing tests, architecture documentation, and a threat model. The author plans a v1.0 to freeze the API, ship full documentation, and make the library production-ready. The repo is available on GitHub and the library aims to replace binary API keys with time-bound, constrained capabilities for safer agent tool access (payments, APIs, databases, etc.).

• Author built 'Agent Firewall', a capability-based security layer for AI agents that issues cryptographically signed capabilities with constraints and lifecycle tracking.
• Agent Firewall enforces granular permissions, time-bound constraints, attenuation, delegation, revocation, and replay protection instead of binary API keys.
• The project shipped v0.8 with SQLite-backed lifecycle persistence to survive service restarts.

n8n Still Relevant Despite Claude Code Rise

In a podcast episode, n8n CEO Jan Oberhauser discusses why n8n remains essential despite the rise of agentic coding tools like Anthropic's Claude Code. He argues that n8n, as an orchestration layer, provides reliability, auditability, and team collaboration features that Claude Code lacks. The company has evolved from personal automation to business-critical workflows, with 200K+ GitHub stars, 1.5M active users, and 1,200 enterprise customers. SAP's investment at a $5.2B valuation and embedding n8n into Joule Studio highlight its enterprise relevance. Oberhauser recommends using Claude Code for rapid prototyping and n8n for production workflows requiring approvals, logging, and team hand-offs. He also shares insights into n8n's hiring approach, emphasizing technical depth and builder mentality.

• SAP invested in n8n at a $5.2B valuation in May 2025.
• n8n has 200K+ GitHub stars, 1.5M active users, and 1,200 enterprise customers.
• Claude Code surpassed n8n in search interest by the holidays of 2025.

EU Apply AI Summit to Showcase Real-World AI Adoption

On 17 November 2026, the European Commission's AI Office will host the Apply AI Summit in Brussels, focusing on practical AI adoption across European businesses and the public sector. The event, expected to draw about 900 in-person and 2,500 online attendees, will highlight real-world European AI use cases in healthcare, energy, mobility, manufacturing, and other sectors. It marks the first anniversary of the EU's Apply AI Strategy and serves as the closing event of the first European AI Innovation Month. The summit will feature keynotes from European Commission EVP Henna Virkkunen and other leaders, and will present the Apply AI Startup Award to emerging European AI companies. The event underscores Europe's push to move from experimentation to large-scale AI adoption, particularly among SMEs.

• The Apply AI Summit will be held in Brussels on 17 November 2026, organized by the European Commission's AI Office.
• Eurostat data shows 20% of EU enterprises with 10+ employees used AI in 2025, up from 13.5% in 2024.
• The summit marks the first anniversary of the European Commission's Apply AI Strategy and the closing of the European AI Innovation Month.

Introducing n8n Assistant

New blog post announcing the launch of n8n Assistant, a product feature. The post is authored by Paul Gordon and dated September 2026.