Alfe vs n8n

A persistent hosted agent, not a workflow you assemble node-by-node.

n8n is a visual automation canvas where AI-agent nodes execute on a trigger, on n8n Cloud or your own infrastructure. Alfe runs a persistent, code-grade agent on its own dedicated server — with pooled model access across 9 providers on one credit pool, managed vector + knowledge-graph memory, teams and fleets, and voice.

Head to head

Alfe vs n8n, feature by feature.

Every n8n claim below is factual. Where Alfe holds the clear advantage, the row is marked.

A feature-by-feature comparison of Alfe and n8n.
CapabilityAAlfen8n
Self-host & source availabilityProprietary managed platform — not self-hostable, not open sourceSource-available (Sustainable Use License); free self-hostable Community Edition
Runtime modelPersistent per-agent server running a code-grade agent (OpenClaw / Hermes), crash-recoveredVisual workflow canvas; AI-agent nodes execute per run on your instance
Model access & billingPooled proxy across 9 providers on one USD credit pool, BYOK + approved-model policyProvider-agnostic LangChain LLM nodes (OpenAI, DeepSeek, Gemini, Groq, Azure); you supply each key
Managed memorySemantic vectors + a knowledge graph, managed and persistentMemory sub-nodes; default "Simple Memory" isn't persisted — persistence needs Postgres
MCP supportNative MCP — agents self-bootstrap over mcp.alfe.ai and claim their own computeNative MCP on both sides — MCP Server Trigger node + MCP Client node
Breadth of connectors40+ ecosystem integrations, installable from the dashboard400+ connectors (500+ marketed) plus provider-agnostic LLM nodes
Teams, orgs & fleetsFull org hierarchy with roles, plus fleets of dedicated per-agent runtimesUnlimited users and workflows per instance; no fleet of dedicated agent runtimes
Per-agent identityOAuth-provisioned per-agent bots and credentialsCredentials configured on the instance and shared across workflows
Channels & voiceSlack, Discord, Teams, Google Chat, web, mobile — plus voice, SMS & WhatsApp on a real numberReaches channels through connector nodes; no built-in agent voice/phone presence
Pricing modelOne prepaid USD credit pool funds compute, models, voice, and channelsCloud metered by workflow executions (Starter €20 / Business €667), or free self-host

Why teams pick Alfe

Where Alfe pulls ahead of n8n.

An agent, not a workflow graph

n8n is a canvas where you wire AI-agent nodes into a flow that fires on a trigger. Alfe runs a persistent, code-grade agent (OpenClaw or Hermes) on its own dedicated server — always on, crash-recovered, with its own memory and identity — rather than a workflow that spins up per execution.

One credit pool across 9 providers

n8n's LLM nodes are provider-agnostic, but you bring and manage each provider's key, and n8n Cloud meters by workflow executions. Alfe routes 9 model providers through one proxy and meters everything into a single prepaid USD credit pool — no per-key wrangling, one bill, bounded spend.

Memory that persists by default

n8n's default "Simple Memory" isn't persisted across sessions — real persistence means standing up an external store like Postgres and wiring a Chat Memory node. Alfe ships managed semantic vectors plus a knowledge graph out of the box: persistent, queryable memory with an interactive memory-map view in the dashboard.

Omnichannel presence, including voice

n8n reaches messaging apps through connector nodes inside a workflow. Alfe gives each agent a real presence across Slack, Discord, Teams, Google Chat, web, and mobile — plus streaming voice, SMS, and WhatsApp on a real phone number — as first-class channels, not steps in a flow.

Where n8n genuinely wins

n8n is source-available and self-hostable for free under the Sustainable Use License, with a huge connector catalogue (400+, 500+ marketed) and native MCP on both sides. If you want to own the infrastructure and wire internal automations yourself, that's a real strength Alfe doesn't match — Alfe is a paid, managed platform, not open source.

FAQ

Alfe vs n8n — common questions.

Is Alfe an n8n alternative?

For agents, yes — with a different shape. n8n is a workflow-automation canvas where AI-agent nodes execute on a trigger. Alfe is a persistent hosted agent on its own server, with pooled model access across 9 providers, managed vector + knowledge-graph memory, teams and fleets, and voice. n8n is stronger if you want to self-host and wire automations node-by-node.

Is n8n open source, and is Alfe?

Neither is OSI open source. n8n is source-available under the Sustainable Use License v1.0 and self-hostable for free, though it restricts commercial redistribution. Alfe is a proprietary, paid, managed platform — not self-hostable and not open source.

Do both support MCP?

Yes. n8n has native MCP on both sides — an MCP Server Trigger node and an MCP Client node. Alfe is also MCP-native and goes further with self-bootstrap: an agent can discover the platform over mcp.alfe.ai and claim its own compute and identity.

How does memory differ?

n8n's default "Simple Memory" isn't persisted across sessions; durable memory means adding an external store like Postgres. Alfe ships managed, persistent semantic vectors plus a knowledge graph by default — no external database to provision.

Pricing

Pricing for fleets, not seats.

A tenant-wide credit pool funds compute, model usage, voice minutes, channels, and storage. Managed agents are add-ons on one subscription — your plan includes some, and you add more as you grow.

Launch offer50% off your first 3 months

Move from a workflow canvas to a real agent.

Get a dedicated per-agent server, pooled model access on one credit pool, managed memory, teams, and voice — managed for you, or bring the agent you already run.

Get In Touch

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