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ACI.dev - Secure AI Agent Tooling & VibeOps Platform

ACI.dev is the open-source platform for VibeOps and infrastructure designed to securely connect AI agents to over 600 tool integrations. It provides multi-tenant authentication, granular permissions, and flexible access via direct function calling or a unified MCP server. Simplify AI agent deployment and interaction with external systems.

Python
Added on 2025年7月6日
View on GitHub
ACI.dev - Secure AI Agent Tooling & VibeOps Platform preview
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Project Introduction

Summary

ACI.dev is an open-source platform that acts as middleware connecting AI agents to a wide range of external tools. It provides essential infrastructure for 'VibeOps', focusing on secure, managed, and scalable integration capabilities for AI agents.

Problem Solved

Traditional AI agent development often struggles with secure, scalable, and standardized access to external tools and APIs. ACI.dev solves this by providing a robust, managed infrastructure layer that handles authentication, permissions, and integration complexity, enabling agents to interact reliably and securely with external systems.

Core Features

600+ Tool Integrations

Connects your AI agents to a vast ecosystem of over 600 external tools and services.

Multi-Tenant Auth & Permissions

Supports multi-tenant authentication and granular permissions, ensuring secure and controlled access for different users and agents.

Direct Function Calling

Allows agents to invoke tool functions directly through the ACI platform.

Unified MCP Server

Provides a single point of access and management for various tool integrations and agent interactions.

Tech Stack

Go
gRPC
OAuth2
Kubernetes
Docker

使用场景

ACI.dev enables a variety of use cases where AI agents need controlled and secure access to external capabilities:

企业工作流程自动化

Details

Deploy AI agents that can interact with CRM, ERP, and other business applications to automate tasks like data entry, report generation, or customer service follow-ups.

User Value

Increases operational efficiency and reduces manual workload by enabling agents to perform tasks across disparate business systems.

智能运维 (AIOps)

Details

Build agents capable of interacting with monitoring tools, incident management systems, and deployment pipelines to automatically detect issues, create tickets, or trigger remediation actions.

User Value

Accelerates incident response, improves system reliability, and frees up human operators from routine tasks.

受控数据访问与分析

Details

Create agents that can search external databases, interact with APIs for data retrieval, and use external tools for analysis, all while respecting access controls.

User Value

Allows agents to leverage external data sources and analytical tools securely, expanding their capabilities while maintaining data governance.

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