# n8n vs Brahmalabs: an automation tool you operate, or an agent runtime you rent > n8n gives you 1,900+ listed integrations and self-hosting under fair-code. Brahmalabs is a managed agent runtime with governance built in. Honest trade-offs. - Canonical: https://www.brahmalabs.io/compare/n8n-vs-brahmalabs/ - Published: 2026-07-05 - Updated: 2026-07-10 - Facts verified: 2026-07-05 - Author: Karthick Selvam - Publisher: Brahmalabs (https://www.brahmalabs.io) — note: Brahmalabs is a party or adjacent vendor; see disclosure at the end. **The short version:** n8n is the more mature product with a far larger integration catalog, a huge community, and the option to self-host — but you own its operation, including urgent patch windows. Brahmalabs is a younger, managed agent runtime that builds sandboxing, approval chains, credential vaulting, and audit into the platform itself. Pick n8n if you want control and breadth; pick Brahmalabs if you want agents to run inside guardrails someone else maintains. ## What n8n is n8n is a workflow automation platform you can self-host or run on n8n Cloud. Its own description is precise: a ["fair-code workflow automation platform with native AI capabilities"](https://api.github.com/repos/n8n-io/n8n) that combines visual building with custom code. It has been around since [2019](https://blog.n8n.io/series-c/), raised a [$180M Series C at a $2.5B valuation in October 2025](https://blog.n8n.io/series-c/), and its GitHub repository sits at [195,164 stars as of July 2026](https://api.github.com/repos/n8n-io/n8n) — one of the most-starred automation projects anywhere. That community matters in practice: its integrations directory lists [1,921 integrations and more than 10,000 workflow templates](https://n8n.io/integrations/), while the GitHub description cites [400+ integrations](https://api.github.com/repos/n8n-io/n8n) — the smaller number counts built-in nodes, the larger one includes credential and community listings. Either way, when you need to connect an obscure SaaS tool, someone in the n8n community has probably already done it. Its AI stack is real, not bolted on. The [AI Agent node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent) is built on LangChain's tool-calling interface, composed from sub-nodes for model, memory, and tools, and agents can invoke other agents as tools. n8n shipped [native evaluations](https://docs.n8n.io/advanced-ai/evaluations/overview/) — light evaluations during development, metric-based evaluations in production, with AI-judged correctness scoring and custom metrics. It has [MCP support in both directions](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger): expose n8n workflows as MCP tools, or let n8n agents call external MCP servers. And its [human-in-the-loop operations](https://docs.n8n.io/advanced-ai/human-in-the-loop-tools/) deliver approval requests into Slack, Gmail, Teams, Telegram, Discord, and WhatsApp, pausing the workflow until someone responds. ## What Brahmalabs is Brahmalabs is a managed platform for running AI agents in production. It is closed and hosted — there is no self-hosted edition today, and no open-source core to download. That is a real limitation and we will come back to it. What you get in exchange is a runtime where the governance layer is part of the platform rather than something you assemble. Concretely: every run is a durable Temporal workflow, so a run that started yesterday can finish today — crashes, restarts, and approval waits do not lose state. Each agent step executes in an isolated, digest-pinned container matched to the workload, with CPU, memory, and timeout ceilings. A DNS-and-firewall sidecar enforces a network egress allowlist per run, and the domains a run actually contacted are captured and shown on its run page. Credentials live in a vault that injects short-lived, scoped references at call time — the agent never sees raw secrets, so an exfiltrated prompt has nothing to leak. Human approval is a first-class node with single-approver and N-of-M multi-party consensus, rejection policies, SLA timeouts, and escalation chains. Everything lands in an append-only audit log spanning eight event categories, with guardrail events hash-chained. Brahmalabs is also young. It is in early access, has no public case studies, and its SOC 2 Type II is in progress, not complete. Its integration catalog covers hundreds of actions across 300+ providers plus anything MCP-compatible — useful, but far behind n8n's breadth, and depth varies by provider. ## The operating-model difference Strip away the feature lists and the real choice is this: n8n is an automation tool you operate; Brahmalabs is an agent runtime someone else operates for you. With self-hosted n8n, you own the whole stack. That is genuinely empowering — you control the version, the data, the network, the scaling topology. n8n's [queue mode](https://docs.n8n.io/hosting/scaling/queue-mode/) lets a main instance push executions to Redis while workers pull and run them, and n8n cites enterprise setups exceeding 200 executions per second. But ownership includes the unglamorous parts. Between [December 2025 and January 2026, n8n disclosed four critical vulnerabilities in roughly two weeks](https://www.bleepingcomputer.com/news/security/critical-n8n-flaws-disclosed-along-with-public-exploits/), including [CVE-2026-21858, a CVSS 10.0 flaw allowing unauthenticated takeover of exposed instances](https://thehackernews.com/2026/01/critical-n8n-vulnerability-cvss-100.html), and CVE-2025-68668, escape weaknesses in the Pyodide-backed Python execution environment. All were patched, and n8n's disclosure handling was what you would want from a serious vendor. The point is not that n8n is insecure — every widely deployed platform accrues CVEs. The point is that if you self-host, those two weeks were your two weeks: your team tracked the advisories, applied the patches, and verified nothing was compromised while public exploits circulated. That is the standing cost of the operating model, and it never goes away. Brahmalabs inverts the deal. You give up control — no self-hosting, no picking your own version, no direct database access — and in exchange the sandboxing, egress policy, credential handling, and patching are the platform's job. For an agent workload this trade cuts deeper than for classic automation, because agents are the component most likely to do something you did not anticipate. A deterministic workflow misbehaves in enumerable ways. An LLM-driven agent given tools and credentials misbehaves in ways you have to contain rather than enumerate — which is why Brahmalabs puts each agent step in its own container behind an egress allowlist and never hands it a raw secret. n8n's own architecture reflects a different lineage. Its enterprise tier offers [SSO, external secrets managers (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault), isolated environments with Git integration, and project-level access controls](https://n8n.io/enterprise/) — a strong kit for governing who edits workflows. What it does not provide is per-step containment of the agent itself: agent nodes run within the n8n instance's execution environment, and the Pyodide sandbox-escape CVE illustrates what it means when code execution and platform share a boundary you maintain. ## The licensing question Neither product is open source, and the details matter. n8n uses the [Sustainable Use License](https://github.com/n8n-io/n8n/blob/master/LICENSE.md) — fair-code, source-available, but not OSI open source — plus a separate n8n Enterprise License for files marked `.ee.` in the codebase. The practical rules are [clearly documented](https://docs.n8n.io/sustainable-use-license/): you may use, modify, and self-host n8n freely for internal business purposes, and consultants may build workflows for clients inside each client's own instance. What you may not do without a commercial agreement: host one instance and charge clients to run automations on it, white-label the interface, embed it in your product, or offer n8n as a managed service. Embed licensing has no published price — it is a contact-sales conversation. For most internal-automation teams the license costs nothing and constrains nothing. For agencies and SaaS builders, it forecloses the obvious monetization paths unless you pay. Brahmalabs is simpler and stricter: closed source, managed only. There is no source to read, no community edition, no self-host path — on-prem or VPC deployment exists only as an Enterprise engagement. If your security team requires the automation layer to run inside your perimeter today, Brahmalabs is not an option and n8n plainly is. ## Side by side Facts below are as of July 2026; pricing and counts on both sides change. | Axis | n8n | Brahmalabs | |---|---|---| | Hosting model | Self-hosted (free for internal use) or [n8n Cloud](https://n8n.io/pricing/) | Managed only; no self-host | | License | [Sustainable Use License + Enterprise License](https://github.com/n8n-io/n8n/blob/master/LICENSE.md) (fair-code) | Closed source | | Integrations | [1,921 listed, 10k+ templates](https://n8n.io/integrations/) | Hundreds of actions, 300+ providers, plus MCP | | AI runtime | [LangChain-based agent node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent), multi-agent via agent-as-tool | Sandboxed per-step agent containers, multi-provider model gateway, bring your own keys | | Agent isolation | Runs within instance execution environment | Isolated container per agent step; digest-pinned images; resource ceilings | | Network control | Self-managed at infrastructure level | Per-run egress allowlist; actual outbound domains captured per run | | Credentials | Stored credentials; [external secrets managers on Enterprise](https://n8n.io/enterprise/) | Vaulted; agents receive scoped references, never raw secrets | | Human approval | [Send-and-wait via Slack/Gmail/Teams/Telegram/Discord/WhatsApp](https://docs.n8n.io/advanced-ai/human-in-the-loop-tools/) | First-class node: N-of-M consensus, rejection policies, SLA timeouts, escalation | | Customer channel agents | [Send-and-wait messaging nodes for Slack, Gmail, Teams, Telegram, Discord, WhatsApp plus a built-in Chat node](https://docs.n8n.io/advanced-ai/human-in-the-loop-tools/); no governed inbound agent inbox in the researched material | WhatsApp, Instagram, Messenger, Slack, and email agents with a human-takeover inbox, per-conversation spend caps, and channel-safe tool gating | | Durability | Wait-node state persistence; [queue mode for scale](https://docs.n8n.io/hosting/scaling/queue-mode/) | Temporal-backed runs survive crashes and restarts | | Evals | [Native evaluations feature](https://docs.n8n.io/advanced-ai/evaluations/overview/) | None comparable | | Audit / retention | [Plan-capped execution logs (Starter: 2,500 / 7 days)](https://docs.n8n.io/manage-cloud/cloud-data-management/) | Append-only audit log, 8 event categories, tier-based retention | | Compliance | [SOC 2-aligned program, annual audits, trust center](https://trust.n8n.io/) | SOC 2 Type II in progress; EU data residency by default | | Pricing meter | [Per full workflow execution, EUR tiers](https://n8n.io/pricing/) | Credits metered by run + sandbox-minutes | Two asymmetries deserve emphasis. n8n's evaluations feature has no Brahmalabs counterpart — if you iterate on agent quality with test datasets and scored metrics, n8n hands you tooling Brahmalabs lacks. Conversely, n8n has no counterpart to per-run egress capture or vault-mediated credentials that agents never see; on n8n those properties are yours to build. ## Pricing: two different meters Direct comparison is genuinely hard because the meters measure different things. n8n Cloud bills [per full workflow execution](https://n8n.io/pricing/) — one run of your entire workflow, regardless of step count. As displayed to EU visitors with annual billing: Starter at EUR 20/month for 2,500 executions, Pro at EUR 50/month for 10,000 executions, Business at EUR 667/month for 40,000 executions plus SSO and Git version control, Enterprise custom. There is [no permanent free cloud tier](https://n8n.io/pricing/) — the free path is self-hosting the Community Edition. LLM inference is separate; you supply your own model API keys. [Brahmalabs](https://www.brahmalabs.io) has a Free tier at $0 (1,000 credits, 5 workflows, 3 agents) and Pro at $299/month (30,000 credits, SSO, multi-party approval, custom sandbox images, 90-day audit retention), with Enterprise custom. Credits meter runs plus sandbox-minutes, not seats. Model inference is bring-your-own-keys with no markup — the platform charges a flat fee per thousand tokens rather than reselling inference. So what do 10,000 runs a month look like? On n8n Cloud, almost exactly the Pro tier: EUR 50/month, annual billing, and a twelve-step workflow costs the same as a two-step one. Self-hosted, the license is free and you pay infrastructure and the people who run it. On Brahmalabs, there is no clean answer, and pretending otherwise would be dishonest: credit consumption depends on how long your agent steps occupy sandboxes. Ten thousand short tool-call runs and ten thousand twenty-minute research-agent runs are very different bills. The honest generalization: for high-volume, lightweight automation, n8n's per-execution meter will usually be cheaper, often by a wide margin. Brahmalabs' meter charges for isolated compute, so you are paying for containment — which is either the point or pure overhead, depending on what you are running. Note also that per-run LLM cost in the Brahmalabs UI is a labeled estimate, not exact metering. ## When n8n is the right choice Advice we would give a friend, who would find out if we shaded it: - **You must self-host.** Regulatory perimeter, air-gapped environment, or a security team that requires the automation layer on your infrastructure. n8n does this today, free for internal use; Brahmalabs simply does not. - **Integration breadth drives your roadmap.** With [1,921 listed integrations and 10,000+ templates](https://n8n.io/integrations/), the odds that your niche CRM or regional payment provider already has a node are far higher on n8n. Brahmalabs' catalog is hundreds of providers and young. - **You are automating at volume on a budget.** EUR 20-50/month for 2,500-10,000 executions, where complex workflows count as single executions, is hard to beat for classic automation. Teams whose workloads are mostly deterministic glue with occasional AI steps will overpay for an agent-governance platform. - **You want to iterate on AI quality with evals.** n8n's [native evaluations](https://docs.n8n.io/advanced-ai/evaluations/overview/) — datasets, AI-judged metrics, production tracking — are a real workflow-improvement loop that Brahmalabs does not offer. - **You need certifications on paper now.** n8n runs a [SOC 2-aligned program with annual independent audits](https://trust.n8n.io/) and reports available through its trust center, and its enterprise references include [named customers like Deutsche Telekom and Novo Nordisk](https://n8n.io/enterprise/). Brahmalabs' SOC 2 Type II is in progress and it has no public case studies yet. One caveat to carry into the decision: [G2 reviewers consistently flag a steep learning curve](https://www.g2.com/products/n8n/reviews) — error handling, sub-workflows, and JSON mapping demand real ramp-up — and report that missing cost controls led to surprise expenses during experimentation. n8n rewards teams willing to invest in it. ## When Brahmalabs is the wrong choice The mirror list, equally plainly: - **Self-hosting is mandatory.** Worth repeating because it is disqualifying: there is no Brahmalabs you can run yourself. On-prem/VPC is an Enterprise engagement, not a download. - **Your budget floor is below $299/month with real volume.** The free tier's 1,000 credits suit evaluation, not production. If n8n's Starter tier covers your workload for EUR 20/month, the governance premium buys you nothing you need. - **You depend on community templates and long-tail connectors.** n8n's 10,000+ templates mean most automation patterns are a fork away. Brahmalabs has no equivalent community library, and you will build more from scratch. - **You need certification-backed procurement today.** SOC 2 Type II in progress does not satisfy a vendor-review checklist that requires the report in hand. There is also no public status page and no public docs portal yet — API and DSL docs live behind the dashboard login. - **You want workflow-as-code in git.** Brahmalabs versions workflows in-platform, but there is no CLI, git-sync, or Terraform provider today. n8n's Business and Enterprise tiers include [Git-integrated environments](https://n8n.io/enterprise/). - **You need custom roles or SCIM.** Brahmalabs ships three fixed roles (admin, member, viewer) and no SCIM provisioning. ## Where this leaves you The comparison is less "which is better" than "which failure mode do you prefer to own." If your workload is automation — moving data between systems, with AI steps as enrichment — n8n is the stronger product today: broader catalog, bigger community, mature evals, and a price meter built for volume. Take it self-hosted if you have the operational muscle, and accept that the December 2025-January 2026 CVE cycle is what that muscle gets exercised on. Take n8n Cloud if you want the product without the pager. If your workload is agents — LLM-driven processes holding credentials and taking actions that need containment, approval, and an audit trail a compliance team will actually read — Brahmalabs builds that layer in: sandboxed steps, egress allowlists with per-run capture, vaulted credentials, N-of-M approvals, durable runs. You pay for it in money, in a smaller catalog, in missing certifications-in-hand, and in the loss of self-hosting. Those are real costs, and for many teams in 2026 they are the right reasons to say not yet. If you are running agents with real credentials and want to see what a governed runtime looks like, the Brahmalabs free tier is enough to run one workflow end to end and read the audit trail it leaves. ## Questions people actually ask ### What is the main difference between n8n and Brahmalabs? n8n is a fair-code workflow automation platform you can self-host or run on n8n Cloud, with 1,900+ listed integrations and a LangChain-based AI agent stack. Brahmalabs is a closed, managed platform built specifically for running AI agents in production, with sandboxed execution, egress allowlists, multi-party approvals, and an append-only audit log built in. The core difference is operating model: with n8n you operate the automation layer; with Brahmalabs the runtime and its governance are managed for you. ### Can I self-host Brahmalabs like I can self-host n8n? No. n8n offers a self-hosted Community Edition that is free for internal business use under its Sustainable Use License. Brahmalabs has no self-hosted option today — it is a managed platform, and on-prem or VPC deployment is an Enterprise engagement rather than a downloadable product. If self-hosting is a hard requirement, n8n is the better fit. ### Is n8n cheaper than Brahmalabs? Usually, for pure workflow automation. n8n Cloud starts at EUR 20/month for 2,500 executions and EUR 50/month for 10,000 (annual billing), and one execution covers a full multi-step workflow run. Brahmalabs starts free (1,000 credits) with a Pro plan at $299/month for 30,000 credits, metered by runs plus sandbox-minutes. The meters differ: n8n charges per workflow run regardless of complexity, while Brahmalabs charges for the isolated compute agents consume, so agent-heavy workloads price differently on each. ### Is n8n secure enough for production AI agents? n8n runs a SOC 2-aligned security program with annual audits and offers enterprise features like SSO, external secrets managers, and environment isolation. The relevant question is who does the security work: between December 2025 and January 2026, n8n disclosed four critical vulnerabilities, including a CVSS 10.0 remote-takeover flaw — all patched, but self-hosters had to apply those patches urgently. Self-hosting n8n means owning that response; a managed platform like Brahmalabs moves that burden to the vendor. ### Does n8n or Brahmalabs have better human-in-the-loop approvals? They are strong in different ways. n8n delivers approval requests into the tools people already use — Slack, Gmail, Microsoft Teams, Telegram, Discord, WhatsApp — with approval buttons, free-text, and custom-form responses. Brahmalabs treats approval as a first-class workflow node with N-of-M multi-party consensus, rejection policies, SLA timeouts, and escalation chains, and parks the run durably while it waits. n8n wins on delivery channels; Brahmalabs wins on approval semantics. ### Which is better for AI agents specifically, n8n or Brahmalabs? n8n gives you a flexible LangChain-based agent node, multi-agent composition, MCP support in both directions, and a native evaluations feature — excellent for building and iterating on agent logic. Brahmalabs runs each agent step in an isolated container with network egress allowlists, vaulted credentials the agent never sees, and durable Temporal-backed runs. If your risk is 'does the agent work,' n8n's tooling is more mature. If your risk is 'what can the agent do to us,' Brahmalabs builds the containment in. ## Sources (checked 2026-07-05) - [n8n GitHub repository (stars, description, license field)](https://api.github.com/repos/n8n-io/n8n) — accessed 2026-07-05 - [n8n integrations directory](https://n8n.io/integrations/) — accessed 2026-07-05 - [n8n pricing](https://n8n.io/pricing/) — accessed 2026-07-05 - [n8n LICENSE.md (Sustainable Use License + Enterprise License)](https://github.com/n8n-io/n8n/blob/master/LICENSE.md) — accessed 2026-07-05 - [n8n Sustainable Use License docs](https://docs.n8n.io/sustainable-use-license/) — accessed 2026-07-05 - [n8n AI Agent node docs](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent) — accessed 2026-07-05 - [n8n evaluations docs](https://docs.n8n.io/advanced-ai/evaluations/overview/) — accessed 2026-07-05 - [n8n human-in-the-loop docs](https://docs.n8n.io/advanced-ai/human-in-the-loop-tools/) — accessed 2026-07-05 - [n8n MCP Server Trigger docs](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger) — accessed 2026-07-05 - [n8n enterprise page](https://n8n.io/enterprise/) — accessed 2026-07-05 - [n8n trust center](https://trust.n8n.io/) — accessed 2026-07-05 - [n8n queue mode scaling docs](https://docs.n8n.io/hosting/scaling/queue-mode/) — accessed 2026-07-05 - [n8n Cloud data management (retention)](https://docs.n8n.io/manage-cloud/cloud-data-management/) — accessed 2026-07-05 - [The Hacker News: critical n8n vulnerability (CVSS 10.0)](https://thehackernews.com/2026/01/critical-n8n-vulnerability-cvss-100.html) — accessed 2026-07-05 - [BleepingComputer: critical n8n flaws disclosed with public exploits](https://www.bleepingcomputer.com/news/security/critical-n8n-flaws-disclosed-along-with-public-exploits/) — accessed 2026-07-05 - [n8n Series C announcement](https://blog.n8n.io/series-c/) — accessed 2026-07-05 - [G2 reviews of n8n](https://www.g2.com/products/n8n/reviews) — accessed 2026-07-05 --- Disclosure: this comparison is published by Brahmalabs, one of the two products compared. Competitor facts are dated and linked to primary sources; corrections: hello@brahmalabs.io.