Run AI agents with human approvals, signed audit, and cost controls — on the models, tools, and infrastructure you already use.
Run it as managed cloud, self-hosted desktop, or from your terminal — white-labeled to your brand, in five languages.
Zero lock-in by design. No model rewrite, no vendor trap.
5,000+ models from Anthropic, Gemini, OpenAI, and 140+ providers — kept current in a live catalog (aligned with the AgentsKit provider catalog). Pick the model per agent, swap anytime, and bring your own keys.
Slack, Discord, GitHub, Stripe, Postgres, S3 and 50+ integrations — connections, RAG, and SQL. Connect once; every call stays permissioned and audited.
Run multi-tenant in our cloud, or self-hosted and air-gapped on your own infrastructure. Your data, your boundary.
What you can build
Pick a vertical and watch three real pain-driven workflows cycle through the tools, human decisions, and controls AgentsKit OS wraps around your agents.
Support escalation
Slack, GitHub, Stripe, Postgres, S3, webhooks, and more.
Use your preferred model vendors behind one governed runtime.
Pick the right model per agent without rewriting the workflow.
The problem
A prototype can act. A production system also needs identity, permissions, human approvals, cost control, and a defensible audit trail. AgentsKit OS makes those controls part of every run.
Loan exceptions stall because risk, policy, approvals, and customer context live in separate systems.
AgentsKit OS resolves
AgentsKit OS turns the exception into an auditable decision packet with approval, cost, and lineage attached.
AP teams need automation, but every variance needs defensible evidence before money moves.
AgentsKit OS resolves
AgentsKit OS reconciles invoice, contract, PO, and owner approval before any posting happens.
Revenue teams spot churn signals too late because usage, sentiment, and account notes are scattered.
AgentsKit OS resolves
AgentsKit OS creates a governed account plan with permissions, evidence, and a signed owner timeline.
Agent experiments quietly consume budget when every team can run models without clear limits.
AgentsKit OS resolves
AgentsKit OS estimates spend before a run, tracks live cost, and enforces team-level guardrails.
Don't start over
Your prompts, your automations, your workflows — move them into AgentsKit OS and instantly inherit identity, permissions, audit, and cost control. Keep the logic. Add the governance.
Import what you already have
AgentsKit OS import runtime
Importers preserve useful structure, then AgentsKit OS wraps identity, permissions, approvals, cost, and audit around it.
Shipped as
Imported logic becomes a governed flow with triggers, tools, gates, and replayable runs.
Prompts, tools, memory, and permissions land as manageable agents your team can own.
Every run ships with policy checks, human approvals, spend tracking, and signed audit.
No rebuild required
Teams bring what already works, then graduate it into multi-tenant web, B2B, B2C, desktop, or CLI surfaces.
Platform
Keep models, prompts, tools, and knowledge under one governed agent profile — with permissions you control.
Turn prototypes into visual workflows with branches, human gates, and approvals before risky steps run.
Slack, GitHub, Stripe, email, webhooks, and schedules — connected once, permissioned every time.
Store credentials as secure references. Agents can use what they need without exposing raw secrets.
RBAC, approvals, audit, and capability boundaries give every team member the exact access they need.
Estimate cost before a run, track spend live, and set guardrails so agents cannot quietly overrun limits.
Every action is traced and replayable, so you can prove what ran, why it ran, and who approved it.
Ground agents in your own documents and systems without losing context, accuracy, or data boundaries.
Ship AgentsKit OS as your own product with tenant-specific brand, terminology, admin controls, and RBAC.
Run in five languages with vertical terminology that matches how each customer names their work.
Import n8n, LangChain, LangGraph, Langflow, Flowise, Dify, CrewAI, AutoGen, and Google ADK.
Run B2B and B2C workspaces with isolated data, scoped permissions, brand controls, and clean boundaries.
How it runs
Run AgentsKit OS the way your team works — managed in the cloud, private on the desktop, or scripted from the command line.
Multi-tenant SaaS. Nothing to install — invite your team and start governing agents in the browser.
Self-hosted and private. Air-gap capable, so sensitive data never leaves your boundary.
agentskit-os — automate and operate agents from your terminal and CI pipelines.
AKOS
One policy, identity, audit, and cost layer coordinates web, desktop, and CLI without splitting the operating model.
Early access
AgentsKit OS is in early access. We're onboarding a limited number of enterprise teams this quarter with hands-on migration and support. Each capability below is marked with where it stands today — shipped, in beta, or coming soon. When the cohort is full, the next one waits.
Every agent acts on behalf of a signed principal, with capability-based permissions checked on each action. Sensitive steps pause for human approval, and every decision lands in a tamper-evident, Merkle-chained audit log.
Book a demo
Book a 30-minute technical walkthrough. Bring your hardest agent — we'll map the controls, deployment path, and proof your team needs to ship.
Limited assisted-onboarding slots this quarter. A human replies within one business day — no spam.
Ecosystem recognition
