OpenClaw is a powerful open-source gateway for AI agents — built to be self-hosted. Associates AI runs it for you: managed servers, persistent memory, observability, and a security model built for adversarial inputs. No config files, no 2am pager.
OpenClaw is an open-source gateway that connects AI agents to the chat apps your team already uses — Slack, Telegram, Discord, email, and more. It's genuinely good software, and it's designed to run on your own hardware, on your own terms.
That self-hosted design is a feature for developers and a burden for everyone else. Running it in production means you own the servers, the secret storage, the scaling story, the security hardening, and the upgrades. The questions people actually search for — how do I scale OpenClaw across systems, how do I manage its secrets, is it ready for production — are all the operational weight that comes with self-hosting.
We carry that weight. Associates AI is the managed OpenClaw platform: your team runs on it in minutes, and the infrastructure is our problem, not yours.
OpenClaw gives you the agent framework. We add the controls that keep a real AI team secure, available, inspectable, and manageable as it grows.
Security
Assume hostile instructions will reach an agent. Egress controls, isolated permissions, blocked metadata access, and fail-closed boot reduce what a compromised session can expose or change.
See our prompt injection threat model →Credentials
Secrets stay behind controlled integrations and per-agent boundaries. Your Teammates can do approved work without seeing reusable credentials in prompts, files, or raw configuration.
Read the OpenClaw credentials guide →Hardening
An agent should not be able to rewrite the files that define its role or limits. Managed, read-only identity documents preserve those boundaries even when untrusted content enters the workflow.
Why read-only controls matter →Multi-agent scale
Give each Teammate a clear role, isolated credentials, persistent workspace, and observable handoffs. Scale the org chart while keeping responsibility and cost attributable.
Plan a controlled multi-agent deployment →Production operations
Always-on servers, managed upgrades, durable memory, end-to-end traces, evaluation, and spend visibility turn a working install into an accountable production system.
Use the production-readiness checklist →Self-hosting OpenClaw is the right call if you want total control and have the engineering time to run it. Managed is the right call if you'd rather have a working AI team today. Here's the difference, straight.
Self-hosting OpenClaw
Managed with Associates AI
Managed hosting is the floor, not the pitch. The real value is what we build on top — persistent memory, production-grade observability, and a security model designed for adversarial inputs.
A dedicated memory service with semantic search, tiered synthesis, audited recall, and temporal state. Your Teammates remember decisions across sessions — and you can inspect why they recalled anything.
Secrets held behind an egress proxy, read-only identity files, per-agent credential isolation, blocked metadata service, fail-closed boot. Built so a hijacked Teammate still can't leak your keys.
Every Teammate action — model calls, tool invocations, multi-agent handoffs — is traced end-to-end with full timing, token cost, and intermediate output visibility. Drill into any decision to see what context was retrieved, which model was called, and what came back. Per-customer dashboards show latency, error rates, and cost breakdowns by model, by Teammate, by channel — so you can see exactly what your AI org is spending and where it's breaking.
Score Teammate outputs with automated evaluators that check accuracy, relevance, and faithfulness against your source data. Capture human feedback inline. Build test datasets from real production traces and run experiments against new prompts or models before shipping — so you know a change improves quality before it hits production.
Every Teammate's system prompt is versioned and stored centrally. Roll back to any prior version. See which prompt produced which output on any trace. Test prompt variants against your datasets, ship the winner, and never lose track of what changed and why.
Configure models, skills, channels, and personality through a UI. Teammates propose changes; you review and deploy. No editing raw config, no boot scripts.
Anthropic, OpenAI, Google, Venice, OpenRouter — every Teammate picks from the set you approve. Transparent list-rate billing, no lock-in.
Teammates coordinate, hand off work, and manage the platform through MCP and a REST API. Build an org chart, not a pile of disconnected bots.
Ops, sales, marketing, SEO, engineering, support. Start from a template or build your own role. The primitives are the same either way.
Managed OpenClaw is the open-source OpenClaw framework operated as a hosted service. Associates AI provisions and maintains the agent servers, upgrades, secret controls, observability, persistent memory, and security hardening so your team can use OpenClaw in production without owning the infrastructure.
No — Associates AI is a managed platform built on the OpenClaw framework. OpenClaw is the open-source engine; we're the hosted, hardened service around it, the way Vercel relates to Next.js or Supabase relates to Postgres.
No, and that's intentional. You configure Teammates through a dashboard that exposes the controls that matter — models, skills, channels, personality — while the lower-level config is managed for you. Teams who want control over every setting can self-host the open-source project directly.
We assume it will happen and design so a hijacked agent can't do damage. Keys sit behind an egress proxy the agent never sees, identity files are read-only, each Teammate has isolated credentials, the cloud metadata service is blocked, and boot fails closed if security components don't start.
Yes. Associates AI adds the controls production deployments need around OpenClaw: always-on agent servers, secret isolation, read-only identity files, fail-closed security components, persistent memory, tracing, quality evaluation, and managed upgrades. You can inspect agent behavior and costs instead of operating that stack yourself.
Associates AI offers paid Pro Solo and Pro Team plans, plus Enterprise arrangements. Current plan details and included capacity are published on the pricing page, so you can compare managed costs with the engineering and infrastructure cost of self-hosting.
No. The platform is model-agnostic — Anthropic, OpenAI, Google, Venice, and OpenRouter are all available, and every Teammate picks from the set you approve. Billing is at transparent list rates.
Related reading: Running OpenClaw in production · When to self-host and when not to.