Identity
A durable, attributable identity for every agent — owner, environment, and metadata.
The trust layer for autonomous AI
Infrastructure for
autonomous AI agents.
Aegize is the runtime layer between autonomous AI agents and the tools they use — providing identity, policy, permissions, approvals, audit logging, observability, and runtime governance for every AI action.
Runtime
Every action passes through Aegize before it runs.
Identity, policy, permissions, approval, execution, audit — in order, on every call. Allowed actions proceed. High-impact actions wait for a human. Denied actions never execute. All of it is recorded.
- web_search→allowed
- send_email→approval required
- execute_shell→denied
agent ▸ web_search()evaluating
allowedapprovaldenied
See it run
The same policy, in your terminal.
One agent makes three tool calls. Aegize allows the search, holds the email for approval, blocks the shell command — and writes an audit record for every attempt.
aegize — agent session
Why
AI agents are evolving from conversations to actions.
Modern agents no longer just answer questions. They take actions in the systems you run:
- execute code
- call APIs
- modify databases
- access files
- send email
As they become increasingly capable, organizations need a runtime layer they can trust — one that decides what every agent is allowed to do, and keeps a record of it.
Capabilities
One runtime, the full governance surface.
Policy Engine
Declarative YAML policy, versioned in source control and enforced deterministically on every call.
Permissions
Scope each agent to the exact tools and operations it is allowed to use. Default deny.
Approval Workflows
Route high-impact actions to a human for review before they execute.
Audit Logging
An append-only record of every attempt and outcome — allowed, denied, gated, or failed.
Observability
See what agents attempt, in real time, across every environment you operate.
Developer-first
Govern any tool in three lines.
Wrap a function with a decorator. Aegize attaches identity, evaluates policy, gates for approval, and records the result — before your code runs.
tools.py
from aegize import guarded_tool
@guarded_tool(
tool_name="email",
operation="send",
risk_level="high",
)
def send_email(...):
...Architecture
A single layer, between frameworks and tools.
AI Frameworks
LangChain·MCP·custom agents
Aegize Runtime
identity·policy·permissions·approval·audit·observability
Tools
shell·email·databases·APIs·payments
Open source
Built in the open, for developers.
Aegize is open source and MIT licensed. Read the code, run it locally, and shape where the runtime goes next.