Comparison
Provision vs Claude Code
Claude Code and Provision are both "AI agents that do real work" — but they're built for different jobs. Claude Code is Anthropic's agentic coding CLI: you run it in your terminal, point it at a codebase, and it edits, runs, tests, and commits. Provision is a managed OpenClaw cloud where named agents live in Slack, Telegram, Discord, and email — handling research, outreach, ops, and content. Many teams use both: Claude Code for the engineering work, Provision for everything else.
At a glance
Claude Code is the best agentic coding CLI on the market. Provision is the best home for AI agents outside the codebase. They complement each other.
Feature-by-feature comparison
Side-by-side on the things that usually drive a decision.
Compiled from public marketing materials. If anything has changed on claude.com, we'll update — please let us know.
How they actually differ
The five or six dimensions that matter most when teams pick one.
Different problems, different products
Claude Code is the right tool when you sit down at a terminal and want an AI to edit, refactor, run, test, and commit code in a real repository. Anthropic built it specifically for that workflow — deep filesystem access, native shell execution, fast iteration cycles. Provision is the right tool when you want AI agents that operate outside the codebase: a marketing agent in Slack, a research agent that browses the web and emails you the report, a customer-ops agent that triages inbound replies. The categories overlap less than the marketing might suggest.
Where the agent lives
Claude Code is a CLI you run on your laptop. Its surface is the terminal — that's where requests go in and where output comes out. Provision agents live in your team's communication tools: Slack channels, Telegram chats, Discord servers, an embeddable Web Chat widget, and their own email inboxes. If your AI agent is mostly used by engineers writing code, the terminal is the right surface. If the agent collaborates with non-engineers (or with other agents), terminal-only is too narrow.
Persistent identity vs per-session
A Claude Code session is task-bound — you start it, work on something, finish, and move on. The next session starts fresh (subject to memory features). Provision agents are persistent named entities (Buzz, Max, Echo, Sage in the demo) with channel handles, email addresses, and accumulating memory across days and weeks. They show up in Slack as actual users your team @-mentions over time. Different model of how AI fits into a team.
Multi-agent delegation
Claude Code is one agent at a time. Provision is built around teams of named agents that delegate work to each other in your channels. Buzz can ask Max to do the deep research; Echo can hand triaged inbound leads to Buzz for outreach. This is a structurally different concept than "open another Claude Code window." The whole point is that the team coordinates visibly in Slack.
Models and lock-in
Claude Code is bundled with the Claude Pro / Max subscription and uses Claude models exclusively — that's the whole point of the product. Provision is model-agnostic: bring your own ChatGPT, Claude, or other API key, or use Provision credits. If you've standardized on Anthropic, Claude Code is a natural fit. If you want flexibility — or want to plug in your existing ChatGPT subscription — Provision gives you that.
Open source vs closed
Claude Code is closed-source from Anthropic. Provision's core (the OpenClaw harness, runtime, channel adapters, dashboard) is MIT licensed and on GitHub. You can self-host Provision on your own hardware for free, audit the code, or fork it. For teams that need data residency or transparency, that's a meaningful difference.
FAQ
See if Provision fits.
48 hours, free.
Spin up your first agent, connect Slack, and try the workflow. Cancel any time.