8 Best Open Source Eden AI Alternatives
A curated collection of the 8 best open source and self-hosted alternatives to Eden AI in 2026.
Looking for a free, privacy-friendly, or self-hosted replacement for Eden AI in 2026? The top open-source alternative is LiteLLM — Acts as a unified proxy across 100+ LLMs, normalizing them to the OpenAI format while handling virtual keys, budgets, rate limits, fallbacks, and cost tracking..
Other highly rated open-source Eden AI alternatives include Langfuse, Portkey AI Gateway and Arize Phoenix.
Acts as a unified proxy across 100+ LLMs, normalizing them to the OpenAI format while handling virtual keys, budgets, rate limits, fallbacks, and cost tracking.
Acts as a unified proxy across 100+ LLMs, normalizing them to the OpenAI format while handling virtual keys, budgets, rate limits, fallbacks, and cost tracking.
Open source AI agent observability platform
Langfuse is an open-source platform designed to help teams trace, evaluate, and improve AI agents. By leveraging production data, it provides deep insights into agent behavior, enabling teams to collaborate on fixes and optimize performance for better quality, reduced costs, and lower latency. - LLM Observability: Monitor and debug AI agent interactions in real-time with detailed traces and logs. - Prompt Management: Centralize and version control prompts for consistent AI outputs. - Evaluation & Metrics: Assess agent performance using built-in evaluation tools and custom metrics. - Collaboration Tools: Share insights and collaborate on fixes with your team. - Self-Hosting Support: Deploy Langfuse on your infrastructure using Docker, Kubernetes, or cloud providers (AWS, GCP, Azure). - Scalability: Handle millions of observations per month with high-performance data processing. - Integration Ready: Works seamlessly with popular AI frameworks like LangChain and OpenAI. - Open Source: Fully open-source with a vibrant community and enterprise-grade features. Langfuse is built with modern technologies and supports multiple deployment options: - Docker Compose: Quick local or cloud deployment. - Kubernetes (Helm): Scalable production deployments. - Cloud Providers: AWS, GCP, and Azure via Terraform. - Database: Powered by ClickHouse for high-performance analytics. Langfuse is trusted by over 100,000 engineers and used by 21 of the Fortune 50 companies.
Unified AI gateway for 1,600+ LLMs and observability
Portkey AI Gateway is a production stack for Gen AI builders, offering a unified solution for AI gateway, observability, guardrails, governance, and prompt management. Designed to help AI teams go to production efficiently, it eliminates the complexity of integrating multiple LLMs while providing real-time monitoring and governance capabilities. - Unified AI Gateway: Access 1,600+ LLMs via a single API, eliminating the need for multiple integrations. - Real-time Observability: Monitor LLM behavior, catch anomalies early, and manage usage proactively with a comprehensive dashboard. - Guardrails & Governance: Implement usage policies, rate limiting, and compliance controls to ensure safe and responsible AI usage. - Prompt Management: Centralize prompt management to streamline AI workflows and reduce redundancy. - Caching & Cost Optimization: Reduce costs by caching repeated API calls and optimizing token usage. - Production-ready Workflows: Deploy agent workflows with built-in support for caching, retries, and fallbacks. - Multi-Model Support: Seamlessly switch between different LLMs without changing your codebase. - Enterprise Scalability: Designed for enterprise-scale deployments with high availability and reliability. Portkey AI Gateway is available as a cloud service with enterprise-grade features. While the core gateway functionality is cloud-hosted, Portkey provides tools and integrations for self-hosting components like caching and observability dashboards. The open-source repository (https://github.com/portkey-ai/gateway) offers foundational tools for building custom integrations and extensions.
Open-source AI agent development platform
Phoenix is an open-source platform designed for AI agent development and evaluation. It provides comprehensive observability, tracing, and evaluation tools to help AI engineering teams build, monitor, and improve their AI applications. - AI Agent Development: Build and test AI agents with integrated tracing and debugging tools. - Observability & Monitoring: Gain deep insights into AI agent performance and behavior. - Evaluation & Benchmarking: Measure and compare AI agent capabilities with built-in evaluation frameworks. - Self-Hosting: Deploy Phoenix locally or in your own infrastructure for full control. - Integration with Coding Agents: Works seamlessly with popular coding agents like Claude, Codex, and Cursor. - Open-Source: Fully open-source under Apache 2.0 license. - Enterprise-Grade: Used by Fortune 500 companies for production AI deployments. Phoenix is open-source and can be self-hosted using Docker, Kubernetes, or directly via CLI. It supports Python and TypeScript SDKs for easy integration with existing AI workflows. Documentation and quick-start guides are available for local setup and production deployment.
Enterprise-grade AI gateway for LLM routing & governance
Bifrost is the fastest, most resilient enterprise-grade AI gateway designed for routing, governance, guardrails, and observability. Built for real-world scale, it provides a unified control plane to manage budgets, track audit logs, enforce access control via SSO, and protect models with real-time guardrails. - Ultra-low latency routing: 20 microseconds added latency and 5,000 requests/second throughput - Multi-provider support: Access 8+ providers and 1000+ AI models through a unified interface - Budgeting & cost control: Set spending limits and track costs across teams, projects, and models - Provider fallback: Automatic fallback to ensure high availability and reliability - MCP gateway: Built-in support for Model Context Protocol (MCP) to use tools within agents - Real-time guardrails: Blocks unsafe outputs, enforces compliance, and keeps agents secure - Audit & governance: Track audit logs and maintain access control via SSO - Drop-in replacement: Change just one line of code to work with OpenAI, Anthropic, Vercel AI SDK, LangChain, and more Bifrost is open-source and can be self-hosted. It supports deployment on any infrastructure and is compatible with all major AI SDKs. The project is available on GitHub and can be installed via npx @maximhq/bifrost.
Outcome Automation as a Service for professional and financial services firms
ACI.dev is a specialized applied AI lab focused on delivering high-reliability automation solutions tailored for professional and financial services firms. Their Outcome Automation as a Service model accelerates or replaces high-ROI workflows with precision-engineered systems. - Narrow, high-reliability systems: Targets the highest-impact workflows with auditable, structured outputs. - Fixed-scope engagements: Delivered in weeks (typically 8-12) with clear briefing, building, and operational phases. - Flexible deployment: Choose between self-hosting with a perpetual license or a managed service. - Domain-specific automation: Examples include financial spreading for private credit, competitive benchmarking, and audit workpaper automation. - Applied AI research: Focuses on solving complex, high-value problems with invariant, stable outputs. - Offers self-hosting options with perpetual licensing for enterprise control. - Can also be deployed as a managed service for hands-off operation. - Built on applied AI research to ensure reliability and precision in automation.
Open source AI gateway for GenAI traffic management
Envoy AI Gateway is an open-source project built on CNCF Envoy Gateway to handle request traffic from application clients to GenAI services. It provides a stable, production-ready control plane API, supports 16+ AI providers, multimodal capabilities, and enterprise observability. - CNCF Envoy Gateway Foundation: Leverages the proven Envoy proxy for high-performance traffic routing - Multi-Provider Support: Native integration with 16+ LLM providers including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, and Mistral - Stable Control Plane API: Committed-stable API for production deployments - MCP Gateway: Enables Model Context Protocol (MCP) tool calls with per-user identity management - Multimodal Support: Handles text, image, and other multimodal AI requests - Enterprise Observability: Built-in monitoring and metrics for AI service performance - Header Forwarding: Per-user identity management without requiring OAuth infrastructure - Scalability: Benchmarked to handle 2,000+ routes with low latency - Community-Driven: Open development with weekly meetings and active GitHub discussions - Open Source: Fully open-source under the Apache License - Self-Hostable: Can be deployed on any Kubernetes cluster - CNCF Project: Part of the Cloud Native Computing Foundation ecosystem - Documentation: Comprehensive docs available at https://aigateway.envoyproxy.io/docs - Community Support: Active Slack channel and weekly community meetings
Unified API for 40+ LLM providers
LLM Gateway simplifies working with multiple LLM providers by offering a single, OpenAI-compatible API interface. Whether you're using OpenAI, Anthropic, Google, or 40+ other providers, LLM Gateway handles routing, cost tracking, and performance monitoring—all in one place. - Unified API Interface: Keep your existing OpenAI SDK code; just change the base URL to switch providers. - Multi-provider Support: Access 40+ providers through one integration with no vendor lock-in. - Performance Monitoring: Compare latency, cost, and quality across models to optimize your use case. - Secure Key Management: Centralize all provider keys in one dashboard to avoid scattered credentials. - Self-hosted or Cloud: Deploy on your own infrastructure or use the managed cloud service. - Cost-aware Analytics: Track requests, tokens, total spend, and average cost per 1K tokens. - Per-model/provider Breakdown: Analyze usage and spend by provider and model to identify outliers. - Errors & Reliability Monitoring: Monitor error rates, cache hit rates, and reliability trends. - Project-level Usage Explorer: Drill into each project's requests, models, errors, cache, and costs. - Enterprise Audit Logs: Maintain compliance with comprehensive audit trails. - LLM Guardrails: Prevent prompt injection, detect PII, and block malicious requests. LLM Gateway is open source and can be self-hosted for full control over your infrastructure. Alternatively, use the managed cloud service for a hassle-free experience. The project is SOC 2 Type II certified, ensuring enterprise-grade security and compliance.
About Eden AI
Eden AI provides a unified API to access over 500 AI models from leading providers like OpenAI, Mistral, Gemini, and Claude. Standardize requests, responses, authentication, billing, and monitoring while optimizing for cost, performance, and compliance.
Key Features of Eden AI
- Unified API Access: Connect to 500+ AI models (LLMs, OCR, Speech-to-Text, Translation, Vision, etc.) through a single standardized API.
- Smart Routing & Fallbacks: Optimize requests by cost, performance, and region with intelligent routing and automatic fallbacks.
- Zero Data Retention: Ensures data privacy with ZDR compliance and no data retention policies.
- GDPR & SOC 2 Ready: Certified for GDPR compliance and SOC 2 & ISO 27001 standards.
- EU Endpoint Support: Dedicated EU-hosted endpoints for data sovereignty and compliance.
- Model Comparison & Browsing: Compare models across providers, tasks, pricing, and performance to find the best fit for your project.
- Seamless Integrations: Connect with existing tools, frameworks, and automation platforms to build AI-powered workflows faster.
- Enterprise-Grade Security: SOC 2 & ISO 27001 certified with enterprise-grade security and compliance.
Tech / Self-Hosting
Eden AI is a cloud-based SaaS platform with no self-hosting option. The service is designed for ease of use, scalability, and enterprise-grade compliance, making it ideal for businesses requiring AI integration without the overhead of managing infrastructure.