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Description
Agent Control represents a groundbreaking open-source framework designed to manage the behavior of AI agents on a large scale, setting a new benchmark for governance in this domain. It addresses the issue of disjointed and hardcoded checks by providing teams with a unified governance layer that enforces regulations at each step, all managed from a single control interface that can be updated dynamically without altering the agent's underlying code. Developers can easily designate any function as governable by applying the control() decorator, thereby transforming key decision points within an agent into independently regulated control points, each equipped with its own governance policies. When a decorated function runs, Agent Control assesses the input or output against the prevailing policy and generates a response that could be to deny, steer, warn, log, or allow the action. If a denial occurs, the SDK triggers a ControlViolationError, preventing any unsafe actions from being executed. This separation of policies from the actual code empowers developers to strategically position control hooks, while policy teams determine the enforcement specifics of those hooks, ensuring a collaborative approach to governance. The flexibility and robustness of Agent Control make it an invaluable tool for organizations looking to standardize AI agent governance effectively.
Description
Paperclip.inc is an AI company orchestration platform that helps businesses manage AI agents like a structured team. Instead of running many separate AI tools manually, users can manage every agent, task, approval, and routine from one organized workspace. The platform supports popular AI models and agents, including Claude, Codex, Gemini, Cursor, DeepSeek, Qwen, Kimi, GLM, MiniMax, OpenCode, Hermes, and more. Paperclip.inc gives each task business context by connecting goals from the company level down to teams, agents, and individual work items. Built-in budget controls prevent overspending by pausing agent work when a spending cap is reached. Permission settings allow users to decide which agent actions are automatic, approval-required, or blocked. The system also includes immutable audit logs and one-click rollback so teams can review decisions and recover from unwanted changes. Recurring routines can run on schedule in the cloud, allowing work such as reporting, monitoring, and operational digests to continue around the clock. With pre-built AI companies, EU hosting, managed updates, and open-source control plane technology, Paperclip.inc helps organizations scale agentic work without losing visibility or governance.
API Access
Has API
API Access
Has API
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Integrations
Agent Development Kit (ADK)
Amazon Bedrock
AutoGen
Cisco AI Defense
CrewAI
LangChain
LangGraph
Mistral NeMo
Model Context Protocol (MCP)
OpenAI Agents SDK
Integrations
Agent Development Kit (ADK)
Amazon Bedrock
AutoGen
Cisco AI Defense
CrewAI
LangChain
LangGraph
Mistral NeMo
Model Context Protocol (MCP)
OpenAI Agents SDK
Pricing Details
Free
Free Trial
Free Version
Pricing Details
19€/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Agent Control
Country
United States
Website
agentcontrol.dev/
Vendor Details
Company Name
Paperclip.inc
Founded
2026
Country
Estonia
Website
paperclip.inc