AI agents don't just run tasks anymore — they fill entire roles across your organization.
Dobby gives you a single command center to connect, govern, audit, and control every agent — whether it's built in-house or running on Claude Code, Devin, CrewAI, or any other platform.
Make your organization AI-native — with governance built in from day one.
The gap between building AI agents and deploying them at enterprise scale is growing every day.
Most organizations are at Stage 3. The leap to Stage 4 requires governance.
The gap from Stage 3 → Stage 4 is not technology — it's governance.
Without control, audit trails, and policies — no enterprise will trust AI agents with real work.
Connect agents from any source, give them identity and rules, and manage them all from a single dashboard.
Bring agents from Claude Code, Devin, CrewAI, LangChain, or your own custom builds — all into one managed workspace.
Each agent gets a unique ID, role, permissions, and a full activity history — like an employee in your org chart.
Define policies for what agents can and cannot do. Enforce compliance automatically across every operation.
Full audit trail for every agent action. Know who did what, when, why, and at what cost — in real time.
Agents are organized in a chain of command — Chief, Coordinators, Workers. Human managers oversee zones and teams, keeping full control even across thousands of agents.
Route agents to the right LLM model. Set budgets per agent or team. Track spend and prevent overruns.
Marketplace, external agent integration, inter-agent communication, learning loops, and enterprise-grade security — all built in.
Discover, install, and share pre-built agent templates. Curated catalog with one-click deployment across 8 categories.
Connect any external agent — LangChain, CrewAI, AutoGen, or custom. Dobby wraps them with governance, identity, and audit.
Agents discover and communicate across tenants via A2A protocol. Capability-based routing with encrypted channels.
Agents learn from human feedback. Pattern detection, knowledge extraction, and maturity scoring — from novice to expert.
Real-time LLM cost tracking per agent, tenant, and model. Budget alerts, spend projections, and ROI analytics.
SAML/OIDC single sign-on, SCIM 2.0 user provisioning, group-to-role mapping, and SSO enforcement policies.
Agent behavior analytics, performance scoring across 5 maturity levels, and trend tracking with improvement insights.
Native adapters for LangChain, CrewAI, AutoGen, and custom frameworks. Wrap any agent with full governance in minutes.
From planning to deployment, Dobby agents work across every stage of the SDLC — governed, auditable, and continuously learning.
AI agents analyze requirements, generate specs, and create architecture proposals with human approval gates.
Coordinated agent teams write code across backend, frontend, and infrastructure — all governed and auditable.
Automated code reviews, security scans, and test generation. QA agents validate quality before human sign-off.
DevOps agents manage CI/CD pipelines, infrastructure, and post-deploy monitoring with rollback capabilities.
Agents learn from each cycle. Pattern detection captures best practices and feeds the learning loop for continuous improvement.
Dobby deploys a complete AI organization with a clear chain of command — just like a real company
Organization-level agents that manage governance, costs, and strategy across all workspaces
Existing tools either build agents or watch them. Dobby does both — and governs them.
Enterprise leaders who need AI agents that are accountable, auditable, and controllable
Agents are ungoverned — no visibility, no control
Full fleet management with hierarchy and policies
No audit trail, no compliance, no kill switch
Every action logged, policy-enforced, instantly killable
LLM costs are unpredictable and uncontrolled
Per-agent budgets, FinOps dashboards, spend projections
Can't scale AI across multiple client projects
Multi-tenant workspaces with isolated agent teams
Industry research confirms what enterprises are discovering firsthand
Watch how a single mission flows through your AI organization — from chief to workers, with governance at every step.
A real-time view of your entire AI workforce. Pause, stop, or resume any agent instantly — even across thousands.
workspace: production · 8 sources connected
| Agent | Actions |
|---|---|
Chief Agent AGT-001 | |
Dev Coordinator AGT-012 | |
QA Coordinator AGT-013 | |
Backend Worker AGT-024 | |
Frontend Worker AGT-025 | — |
Security Worker AGT-031 | — |
Code Review Worker AGT-032 | |
Docs Worker AGT-040 |
Dobby doesn't build agents. It's the governance layer between your agents — from any source — and your organization.
Think of it this way: Dobby is to AI agents what Kubernetes is to containers — it doesn't build them, it runs and manages them at scale.
From external agents to your organization — one continuous governed pipeline.
From Claude Code, GPT, CrewAI, or any source — connects via SDK, API, or CLI
Assigns identity, applies policies, sets budget limits, and places it in the hierarchy
Every call, every action, every token goes through Dobby's policy engine and audit trail
Managers approve, override, pause, or kill any agent at any time — across any source
Deploy a complete AI workforce with governance, hierarchy, and human control built in.
Start free. Scale to enterprise.