Open Source Alternatives to Herdora

Together AI offers an AI-native cloud platform providing high-performance inference APIs, GPU clusters, and fine-tuning capabilities for open-source AI models.

An open-source TypeScript/JavaScript framework for building AI agents, from the creators of Gatsby.

Open-source, end-to-end MLOps platform for enterprise AI development and deployment.

Sponsors of OpenWALDO, a community-driven initiative for open-source AI training data, and provider of enterprise Linux, HPC, and AI infrastructure software.

Mirantis provides cloud-native infrastructure and AI platforms for enterprises to manage and operate complex environments.

An open-source feature store for managing and serving data for AI/ML models in production.

A managed, private, and production-grade environment for OpenClaw, offering access to over 500 AI models and essential tools.

Infrastructure for the robotics data loop.

Cua provides an open-source framework and cloud desktops for AI agents to control operating systems and desktop applications across Linux, Windows, macOS, and Android.

ComputeSDK provides an open-source platform for benchmarking cloud infrastructure, including AI gateways, sandboxes, storage, and browsers, and offers a unified SDK for running code in remote sandboxes.

Open-source platform for programmatically authoring, scheduling, and monitoring data pipelines.

A C/C++ tensor library for efficient machine learning inference on consumer hardware.

A unified data analytics and AI platform built on the lakehouse architecture.

Commercializes the open-source Grafana observability platform with AI features.

High-performance, open-source vector search engine built in Rust for production-grade AI and machine learning workloads.

Open-source data science platform for enterprise teams, enabling collaboration and reproducible results.

ScyllaDB is a high-performance, low-latency NoSQL database for data-intensive applications, designed to scale with modern infrastructure.

Cloud data warehouse for building next-gen analytics experiences with sub-second performance, designed for engineers and AI agents.

Open-access AI cloud platform providing affordable, on-demand GPUs for training and serving AI models.

Open-source tool to transform application data into accessible knowledge for AI agents.

Open-source business intelligence and embedded analytics platform.

Open-source Postgres platform for agent scale with copy-on-write branching.

An open-source developer portal for building and managing software.

Persistent memory layer for AI agents and applications.

Elementary Data provides a unified data control plane for the AI era, offering observability, quality, governance, and discovery for data and AI reliability.

Track experiments, validate models, and collaborate with confidence using Skore, the methodology layer for AI coding tools.

Open-source platform for ML experiment tracking and data versioning.

Industry-standard API simulation and mocking platform for reliable software development and testing.

Self-hosted AI inference platform for enterprises.

An open-source platform for building, simulating, evaluating, and optimizing reliable AI agents.

An open-source orchestration platform for unifying data pipelines, AI workflows, and business processes.

A real-time search analytics database unifying search and analytics in a single platform.

An open-source, high-performance DataFrame library for Rust and Python, designed for efficient data manipulation and analysis.

Open-source alert management platform using AI to reduce noise and improve alert actionability for engineers.

An open-source, end-to-end AI agent engineering platform for simulating, evaluating, and optimizing LLM applications.

BenchFlow is a frontier environment lab that builds environments for AI agents to learn and be evaluated on real computer work.

Open-source reactive Python notebook for data and AI workloads.

Open-source Kubernetes-native testing framework for CI/CD.

Open-source Node.js backend development platform for accelerating application development.

Low-code platform for building, iterating, and deploying AI applications, especially RAG and multi-agent systems.

Company

An independent directory for discovering DeepSeek Harness plugins.

Open-source library by Meta AI for efficient similarity search and clustering of dense vectors.

An open-source framework for building, operating, and benchmarking Multimodal Language Model (MLM) agents across diverse environments.

A suite of open-source and professional tools for API design, development, documentation, and testing.

Open-source platform for managing the ML lifecycle, from experimentation to deployment.

Open-source Python framework for building autonomous AI agents and agentic workflows, purpose-built for FinTech operations.

Experimental open-source framework for building self-building autonomous agents with a novel function framework.

Open-source, no-code platform for building and deploying AI agents, workflows, and generative AI applications.

Open-source framework for building and documenting APIs with a focus on developer experience.

An open-source framework for on-machine AI agents developed by Block's Open Source Program Office.

A community-driven marketplace for discovering and deploying Model Context Protocol (MCP) servers and clients.

Open-source infrastructure for automating natural language workflows directly on your codebase.

Container-native virtualization for Kubernetes, enabling VMs and containers to run side-by-side.

Open-source AI platform for securely deploying intelligent agents, private enterprise search, and complex document workflows on an organization's own data.

Open-source infrastructure, developer tools, and research for agent runtimes.

Adala is an Autonomous DAta (Labeling) Agent framework for data processing and labeling tasks.