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
Every n8n claim below is factual. Where Alfe holds the clear advantage, the row is marked.
| Capability | AAlfe | n8n |
|---|---|---|
| Self-host & source availability | Proprietary managed platform — not self-hostable, not open source | Source-available (Sustainable Use License); free self-hostable Community Edition |
| Runtime model | Persistent per-agent server running a code-grade agent (OpenClaw / Hermes), crash-recovered | Visual workflow canvas; AI-agent nodes execute per run on your instance |
| Model access & billing | Pooled proxy across 9 providers on one USD credit pool, BYOK + approved-model policy | Provider-agnostic LangChain LLM nodes (OpenAI, DeepSeek, Gemini, Groq, Azure); you supply each key |
| Managed memory | Semantic vectors + a knowledge graph, managed and persistent | Memory sub-nodes; default "Simple Memory" isn't persisted — persistence needs Postgres |
| MCP support | Native MCP — agents self-bootstrap over mcp.alfe.ai and claim their own compute | Native MCP on both sides — MCP Server Trigger node + MCP Client node |
| Breadth of connectors | 40+ ecosystem integrations, installable from the dashboard | 400+ connectors (500+ marketed) plus provider-agnostic LLM nodes |
| Teams, orgs & fleets | Full org hierarchy with roles, plus fleets of dedicated per-agent runtimes | Unlimited users and workflows per instance; no fleet of dedicated agent runtimes |
| Per-agent identity | OAuth-provisioned per-agent bots and credentials | Credentials configured on the instance and shared across workflows |
| Channels & voice | Slack, Discord, Teams, Google Chat, web, mobile — plus voice, SMS & WhatsApp on a real number | Reaches channels through connector nodes; no built-in agent voice/phone presence |
| Pricing model | One prepaid USD credit pool funds compute, models, voice, and channels | Cloud metered by workflow executions (Starter €20 / Business €667), or free self-host |
Why teams pick Alfe
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.
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.
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.
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.
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
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.
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.
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.
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.
Simple fleet economics
A tenant-wide credit pool funds model usage, voice, channels, storage, and compute. Add managed agents as the fleet grows.
Predictable at one agent. Coherent at one hundred.
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.
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Bring us the agent, the fleet, or just the workflow. We’ll help you choose the shortest path to a working system.
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