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centian
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centian

Active·★ 15·Apache-2.0·Updated 2026-07-03

Centian is a crucial layer sitting between AI agents and the systems they interact with, providing security, observability, and control. It captures every agent action, enforces allowed behaviors, and verifies execution against predefined contracts to mitigate risks in production environments.

#AI Agent Security#Agent Observability#Runtime Enforcement#Process Verification#Agent Governance#API Proxy#Audit Trail#Blast Radius Management
$ Install
$ curl -fsSL https://raw.githubusercontent.com/T4cceptor/centian/main/scripts/install.sh | bash
↗ Visit site★ GitHub
01

Features

01Audit trail & observability: Understand what your agents did — and why.
02Realtime context & action guard: Centian governs what enters and leaves the agent's context bidirectionally at runtime.
03Verified execution: Confirm your agents are doing what you actually approved.
04Blast radius management: Exclude catastrophic scenarios by design.
02

Compatibility

Linux
OS
Verified via docs
macOS
OS
Verified via docs
Windows
OS
Verified via docs
Go
Runtime
Verified via docs
Docker
Container
Verified via docs
03

Quick start

1
$ curl -fsSL https://raw.githubusercontent.com/T4cceptor/centian/main/scripts/install.sh | bash
04

Use cases

↳Deploy agents in production safely by mitigating risks.
↳Monitor running agents to quickly notice if something goes wrong.
↳Audit AI decisions for compliance and accountability.
↳Prevent agents from performing destructive actions on critical systems.
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
T4cceptor /
centian
↗

Give your AI agents structure, guardrails, and full observability — the Agent control plane built on MCP.

15Apache-2.0
Last commit3mo ago
StatusActive
CategorySecurity & Safety
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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