n8n: what’s new in 2.45 and our verdict
Fair-code workflow automation with 400+ integrations and native AI agent features; self-host or cloud.
At a glance
- Evidence
- Tested (smoke test)
- Released
- Oct 20, 2026
- Last verified
- Oct 25, 2026
- Pricing
- Not verified
- Best for
- agent building, small business
Evidence and ranking
Evidence behind this verdict
- Sources read2 cited sources, latest fetched Oct 25, 2026. (done)
- Facts re-checkedLast verified Oct 25, 2026. (done)
- Run by usSmoke test on Oct 25, 2026 (scope below). (done)
Passed Test log result: Passed. Read the log
Where we rank it (editorial)
- agent building#8 of 33 tools
- small business#4 of 6 tools
Editorial picks, not benchmark scores. How we rank.
Pricing: We have not verified pricing for this tool; see the official site.
Our verdict
Great fit for small teams that want to wire apps and AI together without code; the license is fair-code, not open source.
Good for
- Small businesses automating lead capture and follow-up
- Teams that want to self-host automations
- Builders adding AI agents to existing workflows
Skip if
- You need a strictly open-source license (n8n is fair-code)
- You want a no-setup consumer app
Tested. Tested 2026-10-25 (America/Chicago). n8n 2.44.6 installed from npm on Node 24 in 1 min 54 s (2,343 packages), imported a three-node workflow from the CLI and executed it: a Code node returned 42 and a request to a local model returned "42". Test environment: Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key. Agent tools were pointed at a local open-weight model (Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11), so we tested the tool, not any vendor's hosted models. Not tested: The editor UI, webhooks, credentials, scheduled triggers, community nodes, Python Code nodes and queue mode; Docker deployment, which n8n now recommends. These are smoke tests, not a benchmark. Full log: /tests/n8n.
Full test log with exact commands, versions and raw output: n8n 2.44.6: our test log.
- Evidence
- Tested (smoke test, 2026-10-25, local 3B model (Qwen2.5-3B)). A smoke test is not a benchmark.
- What we ran
- n8n 2.44.6 installed from npm on Node 24 in 1 min 54 s (2,343 packages), imported a three-node workflow from the CLI and executed it: a Code node returned 42 and a request to a local model returned "42".
- Model used
- Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11
- Environment
- Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key
- Not tested
- The editor UI, webhooks, credentials, scheduled triggers, community nodes, Python Code nodes and queue mode; Docker deployment, which n8n now recommends.
- Date
- (America/Chicago)
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Best for
- Best AI tool for agent building: Visual workflows plus native AI agents, with an agent builder and budget tracking.
- Best AI tool for small business: Connects the tools a small shop already uses; self-hostable or cloud.
What’s new
n8n 2.45 (Oct 20) brings the Monday.com node V2 to full parity, a Kafka v2 default, an AI log that shows which model answered, and agent-builder improvements, among 11 features.
- n8n 2.45 (Oct 20): Monday.com node V2 reaches full parity with V1 (39 operations) and is the default for new nodes.
- New Kafka and Kafka Trigger nodes default to version 2, which runs on librdkafka and supports Snappy, LZ4 and Zstd.
- The AI log now shows which model actually answered, useful when a model router picks a different model.
- Agent builder: monthly budget usage updates after each turn, a publish confirmation modal, and a warning when an agent uses unpublished workflows as tools.
- Admins can notify workflow owners from migration reports.
How to set it up: Try n8n
Steps come from the vendor's own docs or README. We ran n8n on 2026-10-25; the test log lists what was and was not covered.
Pick cloud or self-host
n8n offers both. The README and docs cover cloud sign-up and self-hosting.
https://docs.n8n.io/Build a first workflow
Start with a trigger such as a form submission, add an action node such as email or a spreadsheet, and run it manually before activating.
Add an AI agent step
The 2.45 notes describe an agent builder with budget tracking and sub-agents. Set a budget before letting an agent run on a schedule.
Pros and cons
Pros
- 400+ integrations
- Self-host or cloud
- Frequent dated release notes
Cons
- Fair-code license, not OSI open source
- Workflow builders have a learning curve
- Pricing not verified here
- Our test was one small task on a local 3B model; it does not show behaviour with hosted models or larger jobs
Alternatives and comparisons
- Lovable: Describe an app in plain English, preview it, and publish it to a lovable.app address.
- OpenAI Agents SDK: Lightweight Python framework for multi-agent workflows, with tools, handoffs, sessions and tracing.
- LangGraph: Low-level framework for building long-running, stateful agents as graphs.
- Langflow: MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.
FAQ
What is new in n8n 2.45?
Monday.com node V2 with full V1 parity, Kafka v2 as default for new nodes, a model-answered indicator in the AI log, and agent-builder budget and publish improvements.
Is n8n open source?
n8n describes itself as fair-code; GitHub reports its license as unspecified. Read the license before commercial use.
Can I self-host n8n?
Yes. The project describes self-host and cloud options.
What we have not verified
- Pricing and cloud plan limits
- Exact license terms for your use
Sources
- n8n release notes (fetched 2026-10-25)
- n8n GitHub (fetched 2026-10-25)
Last verified · Agentic Weekly
Part of the week of Oct 19, 2026 archive.
Related tools
- Langflow: MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.
- Botpress: Customer-support AI agent platform with a free plan and conversation-based paid plans.
- Goodcall: A sensible first AI receptionist for a one-person shop; the per-customer pricing is simple, but test call quality yourself.
How to cite this page
Agentic Weekly, "n8n 2.45: what's new, verdict & setup", last updated 2026-10-25, https://theagenticweekly.com/tools/n8n
Keep the Reported or Tested label when you quote a verdict. Plain-text version: https://theagenticweekly.com/tools/n8n.md. More for AI assistants: /ai, /tools.json, /llms.txt.
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