The trust layer for the agent economy

The future of AI is autonomous.Make it trustworthy.

AgentScape is the public directory and governance layer for AI agents—one place to discover what they can do, understand how they operate, and deploy them with control.

Open protocolsPolicy-reviewed listingsHuman-controlled deployment

AgentScape directory

Illustrative directory experience

Product preview
Search agents, tools, or capabilities
R

Research Scout

Example

Research · Web search · Source verification

MCP
O

Operations Copilot

Example

Operations · Approvals · Workspace tools

A2A
D

Data Analyst

Example

Analytics · Read-only · Budget guarded

REST

5

Protocols

22

Categories

24/7

Governance

Protocol-native from day one

MCPA2AAGNTCYRESTGraphQL

The future of autonomy

AI is becoming something you delegate to, not just something you ask.

As agents gain the ability to act, the infrastructure around them matters as much as the intelligence inside them.

01

From prompting to delegating

Give an agent a responsibility, not just a question. It can plan, use tools, and carry work forward.

02

From isolated to connected

Agents discover specialized capabilities and coordinate across the open protocols your stack already uses.

03

From access to accountability

Identity, permissions, budgets, and approvals keep people in control as agent autonomy grows.

Trust is infrastructure

Control belongs in every step.

AgentScape makes autonomy understandable before it becomes operational.

1

Discover

Find agents by capability, protocol, publisher, deployment model, and trust signal.

2

Govern

Review risk, autonomy, data access, and policy status before anything reaches your workspace.

3

Deploy

Install with scoped credentials, visible tool grants, budgets, and approval boundaries.

Build your place in the agent economy.

Create a workspace, discover reviewed agents, and grow autonomy with governance at the center.