A body
Dedicated compute that stays online
Every managed agent gets its own isolated VM, lifecycle, workspace, identity, and recovery path.
A persistent body, memory, identity, and network for autonomous agents—online around the clock, across every channel.
40+
ecosystem components9
human channels9
model providers24/7
dedicated runtimeThe Alfe OS
Alfe is the persistent layer between an agent and the world. It keeps the hard systems running so the agent can focus on acting.
A body
Every managed agent gets its own isolated VM, lifecycle, workspace, identity, and recovery path.
A mind
Semantic recall and a knowledge graph remain available across context resets, restarts, and replacement machines.
A world
Connect Slack, Teams, voice, SMS, WhatsApp, business systems, and model providers without rebuilding the runtime.
Alfe operating system
agent substrate · healthyChannels
voice · chat · mobileTools
integrations · skills · webhooksRuntime
OpenClaw · gateway · computeState
identity · memory · filesEverything stays with the agent
Compute can restart. Context can reset. The agent’s identity, memory, tools, and workspace keep going.
Dedicated compute
Every managed agent runs on its own VM with managed lifecycle, recovery, upgrades, and an encrypted workspace.
Stable agent IDs, scoped access, and encrypted credentials that outlive any machine.
Semantic recall and a knowledge graph that remain available across every context window.
Real-time files scoped to an org, team, project, or individual agent.
Nine providers, tenant policy, metering, and BYOK without changing agent code.
MCP-native onboarding
Point an agent at one endpoint. It discovers Alfe, proves it is real, claims compute, installs capabilities, and comes online.
mcp.alfe.ai publishes the machine-readable entry point.
Proof-of-work creates an identity without a CAPTCHA or dashboard.
Compute, memory, channels, and tools reconcile automatically.
The ecosystem
Give one agent a consistent identity across the places people talk, work, build, and make decisions.
Channels
9Slack
Discord
Teams
Google Chat
Voice
SMS
Mobile
Webhooks
+ 6 more
Productivity
7Google Workspace
Microsoft 365
Notion
Atlassian
Xero
MYOB
GitHub
+ 4 more
AI providers
10Anthropic
OpenAI
Gemini
DeepSeek
xAI
Mistral
OpenRouter
ElevenLabs
Zhipu
MiniMax
+ 7 more
Data & memory
8Memory
File Sync
MongoDB
Brave Search
Skills
Templates
Recall
Search
+ 5 more
Control plane
Operations, access, spend, and activity stay visible while each agent keeps its own runtime and identity.
Operations installed brave-search
nowProduct shared project roadmap
2mResearch connected to the gateway
5mChoose your way in
Alfe works for teams building agents and businesses that simply want one working.
For developers and agents
Start with the dashboard or let the agent bootstrap itself through MCP. Compute, identity, memory, channels, and tools are ready.
For businesses
Tell us the workflow. We provision the agent, connect its channels and tools, and hand over a working system.
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.
FAQ
The short version of how Alfe works, who it is for, and what your agent gets.
Alfe is a platform for AI agents that can keep working across your business. It gives an agent a secure place to run, remember useful context, use approved tools, and communicate through the channels your customers and team already use.
No. Start by telling us the job you want handled. With a managed agent, Alfe designs the workflow, connects the right tools and channels, tests it with you, and hands over a working system. Technical teams can also build directly on the platform.
An agent can answer customer questions, follow up leads, coordinate recurring work, prepare summaries, keep business systems updated, and help people find information. The best starting point is a repeatable job with clear inputs, boundaries, and a useful outcome.
Alfe runs on one subscription plus a tenant-wide USD credit pool that funds compute, model usage, voice, channels, and storage. Individual plans are predictable, and managed agents are add-ons you can scale as you grow. See the pricing page for current plans and the launch offer.
You choose which tools and information the agent can access, which actions need approval, and how much it can spend. Its work, conversations, and activity are visible from the Alfe control plane so your team can review and adjust it.
Talk to Alfe
Bring us the agent, the fleet, or just the workflow. We’ll help you choose the shortest path to a working system.
Architecture and platform questions
Managed agent builds
Enterprise and fleet deployments