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Wavefront AI is an open-source middleware platform designed to seamlessly integrate AI-driven agents, workflows, and data sources across enterprise environments. It acts as a connective layer that bridges modular frontend applications with complex backend data pipelines, ensuring secure access, observability, and compatibility with modern AI and data infrastructures.
Status: Pre-release (Under active development)
Beta release: Dec 2025
Wavefront License: GNU AFFERO GENERAL PUBLIC LICENSE 3.0
FloAI License: MIT LICENSE
Contributing: We welcome early feedback! See CONTRIBUTING.md.
Community: Join our discord at https://discord.gg/BPXsNwfuRU
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π― Modular AI Application Integration
Deploy diverse AI agents for auditing, underwriting, contact center supervision, and business process automation without rebuilding infrastructure. -
π Unified API Layer
Standardized APIs for developing, deploying, and managing AI workflows across multiple use cases and frameworks. -
π Enterprise-Grade Authentication & Authorization
Native integrations with Google Auth, LDAP, Auth0, Okta, and Microsoft AD/Entra for seamless SSO and access controls. -
π Comprehensive Data Connectivity
Ingest data from OLAP/OLTP systems (BigQuery, Redshift), HDFS, cloud storage (S3, GCS), databases (PostgreSQL, MongoDB), and enterprise APIs (Salesforce, SAP). -
π₯ Granular Role-Based Access Control
Fine-grained permissions for both AI agents and data sources, ensuring compliance and least-privilege access. -
π€ Open Source & Proprietary Model Support
Works seamlessly with open-source LLMs/SLMs, custom models, and proprietary AI services. -
π Observability, Monitoring & Evaluation
Built-in telemetry with Grafana and Prometheus support. Track agent performance, audit trails, and guardrail enforcement in real-time. -
π€ No Code Agent & Workflow Builder Built-in capabilities to build and customer AI agents, and AI Workflows, connecting Data Sources, Knowledge Bases, in minutes
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π Voice & Conversational Agents
Integrated Voice-to-Voice Bots, ASR models, and agentic flows for contact center and conversational use cases. -
π§ Knowledge Bases & RAG Ready
Native support for Retrieval-Augmented Generation with MCP connectors and external knowledge bases.
| Layer | Purpose | Components |
|---|---|---|
| Frontend Applications | User-facing AI interfaces | Supervisors, Audit Agents, Underwriters, Copilots |
| API Layer | Standardized communication | Frontend SDK, REST/GraphQL APIs |
| Authentication | Identity verification & SSO | Google Auth, LDAP, Auth0, Okta, Microsoft AD |
| Authorization (Agents) | Agent-level access policies | Role definitions, permission mapping |
| AI Workflows | Intelligent automation | Agentic flows, Voice agents, LLM integrations, RAG |
| Data Processing | ETL and API management | Pipelines, transformations, HTTP endpoints |
| Authorization (Data) | Data source access control | Fine-grained permissions, audit logging |
| Data Sources | Enterprise data systems/Services | Databases, APIs, Cloud storage, Data warehouses, Servics like Salesforce, SAP etc. |
As part of the project, we are building the following components
- FloAI library for Agent Building & A2A Orchestration
- Wavefront Core Middleware Service, which connects multiple frontend applications with complex backend ai pipelines, provides authentication, authorization, observability, monitoring & evaluation
- Wavefront Control Panel Unified frontend for configuring agents, workflows, AI models, Guardrails developer-friendly, RBAC etc.
- Wavefront cli for configuring through cli (Yet to Build), for full developer-friendly control
| Adapter | Status | Notes |
|---|---|---|
| BigQuery | β Available | Full read/write support |
| Redshift | β Available | Production-ready |
| PostgreSQL | π In Progress | Optimized for large datasets |
| MySQL | π Roadmap | Compatible with MySQL 5.7+ |
| Adapter | Status | Notes |
|---|---|---|
| Custom API Configuration | π In Progress | Flexible HTTP endpoint support |
| Salesforce | π In Progress | Native API integration |
| Model/Service | Status | Notes |
|---|---|---|
| OpenAI | β Available | GPT-3.5, GPT-4 support |
| Anthropic | β Available | Claude models supported |
| vLLM (Open-Source) | β Available | Self-hosted inference |
| Ollama | β Available | Local model deployment |
| GroqAI | π In Progress | Fast inference support |
| Vertex AI | β Available | Google Cloud integration |
| Bedrock | π In Progress | AWS integration coming soon |
| Provider | Status | Notes |
|---|---|---|
| Google Auth | β Available | OAuth 2.0 support |
| Microsoft AD/Entra | β Available | Enterprise SSO ready |
| Okta | π Roadmap | Q1 2026 |
| SAML 2.0 | π Roadmap | Q1 2026 |
| Feature | Status | Notes |
|---|---|---|
| Application Metrics | β Available | Prometheus-compatible |
| Application Logs | β Available | Structured logging |
| AI Token Tracking | β Available | Token tracking per agent |
| Open Telemetry | β Available | Full OTel support |
| AI Audit Logging | π In Progress | Detailed decision trails (Q4 2025) |
| AI Guardrails | π Roadmap | Policy enforcement (Q1 2026) |
| Feature | Status | Notes |
|---|---|---|
| Component Library | β Available | React components ready |
| AI-Based No-Code Builder | π Roadmap | Visual agent creation (Q1 2026) |
| Low Code AI Agent Builder | β Available | YAML-based builder available |
| Quarter | Milestone | Features |
|---|---|---|
| Nov 2025 | Public README.md | Publish readme and take in community feedback |
| Dec 2025 | Open-source community edition | Community edition release with working MVP |
| Q1 2026 | Enterprise Edition | Advanced RBAC, More Data source Integrations |
| Q1 2026 | Rootflo Wavefront Cloud | One-click deployable Wavefront Cloud |
See ROADMAP.md for detailed feature plans and contribution opportunities.
We welcome contributions from the community! Whether it's bug reports, feature requests, or code contributions:
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
See CONTRIBUTING.md for detailed guidelines.
Wavefront AI was built with inspiration from leading open-source projects in the AI infrastructure space. Special thanks to our early adopters and community contributors.
If you find Wavefront AI useful, please consider:
- Starring this repository β
- Sharing with your network
- Contributing to the project
- Providing feedback and feature requests
Ready to transform your enterprise AI infrastructure?
Get in touch for production-grade support and SLA-driven deployments that ensure uptime, stability, and performance at scale.
π§ sales@rootflo.ai
Join our discord at https://discord.gg/BPXsNwfuRU

