wavefront

Enterprise AI Middleware For Building Production Ready AI Applications

Open source alternative to UnifyApps, LyzrAI, SuperAGI & AgentGPT

Alternative to n8n, for building enterprise grade AI workflows

GitHub • Website • Documentation • Discord

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What is Wavefront ?

Wavefront AI is an open-source middleware platform designed to:

• Seamlessly connect to any API, database or file storage system
• Connect to any LLM or SLM
• Build AI-driven agents, workflows, and automations across enterprise by connecting to multiple data sources, knowledge bases, and services
• Provide authentication, authorization, observability, monitoring & evaluation for all agents & workflows

What people build with Wavefront ?

• To build AI agents & workflows to audit, underwrite, supervise contact center, and automate business processes
• To build knowledge bases & RAG ready applications for internal enterprise use
• To build voice & conversational agents collections and sales use-cases
• To build AI workflows to connect multiple data sources, knowledge bases, and services

✨ Key Capabilities

• 🔌 Unified API Layer
  Standardized APIs for developing, deploying, and managing AI workflows & agents across multiple use cases and frameworks.

• 🔐 Enterprise-Grade Authentication & Authorization
  Native integrations with Google Auth and Microsoft AD/Entra for seamless SSO and access controls for client applications

• 🌐 Comprehensive Data Connectivity
  Ingest data from OLAP/OLTP systems (BigQuery, Redshift), HDFS, cloud storage (S3, GCS), databases (PostgreSQL, MongoDB), and enterprise APIs (Salesforce, SAP).

• 👥 Granular Role-Based Access Control
  Fine-grained permissions for both AI agents and data sources, ensuring compliance and least-privilege access.

• 🤖 Open Source & Proprietary Model Support
  Works seamlessly with open-source LLMs/SLMs, custom models, and proprietary AI services.

• 📊 Observability, Monitoring & Evaluation
  Built-in telemetry with Grafana and Prometheus support. Track agent performance, audit trails, and guardrail enforcement in real-time.

• 🤖 No Code Agent & Workflow Builder Built-in capabilities to build and customize AI agents, and AI Workflows, connecting Data Sources, Knowledge Bases, in minutes

• 🔊 Voice & Conversational Agents
  Integrated Voice-to-Voice Bots, ASR models, and agentic flows for contact center and conversational use cases.

• 🧠 Knowledge Bases & RAG Ready
  Native support for Retrieval-Augmented Generation with MCP connectors and external knowledge bases.

• 🎯 Modular AI Application Integration (Coming Soon)
  Deploy diverse AI agents for auditing, underwriting, contact center supervision, and business process automation without rebuilding infrastructure.

Quick Start

Option 1: Schedule a demo and we help you build immediately.

Option 2: Self-host for maximum control and customization. Please find the self-hosting instructions in the Wavefront Documentation.

Platform Components

As part of the project, we are building the following components

Release Timeline

See ROADMAP.md for detailed feature plans and contribution opportunities.

[!WARNING]

• This project is under active development and APIs may change without notice. Please checkout the platform docs for the latest information.
• The platform is not in the GA state, and there are unimplemented feature. Checkout ROADMAP.md for the list of features, and whats missing.

⭐ Show Your Support

If you find Wavefront AI useful, please consider:

• Starring this repository ⭐
• Sharing with your network
• Contributing to the project
• Providing feedback and feature requests

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Next Steps

• Join our Discord
• Read our docs
• Submit an issue
• Talk to us

Text us!