The Best Activeloop Alternatives in 2026

Supermemory provides memory and continual-learning tools for AI agents through an API, plugins, and an MCP interface.

DigitalOcean offers cloud infrastructure for AI agents, inference, and production AI products.

EigenCloud offers verifiable cloud infrastructure for building apps and AI agents, with a focus on trusted and accountable agent tasks.

Cerebrium provides serverless GPU infrastructure for deploying voice agents, video models, language models, and other AI workloads.

Hyperbrowser provides cloud browser infrastructure for AI agents and applications.

Espresso AI uses machine learning to optimize Snowflake and Databricks data warehouses and reduce query and infrastructure costs.

Pinecone provides a vector database, AI platform, and marketplace for building retrieval and knowledge applications.

Scrapybara built computer environments for agents and is now developing Capy, an AI software engineer.

Mem0 provides a persistent memory layer that helps AI agents and applications learn from past user interactions.

Groq provides cloud infrastructure and developer APIs for running AI model inference.

Ducky provides managed AI retrieval and RAG infrastructure for adding search to developer products.

CoreWeave presents cloud infrastructure for AI and machine learning, with deployment and scaling for production models.

ClearML provides AI infrastructure for managing GPU clusters, machine learning workflows, and model deployment.

Cortex provides cloud infrastructure for deploying, managing, and scaling machine learning models in production.

Anaconda provides tools for developing, orchestrating, and deploying data science and AI projects.

VoiceAIWrapper lets agencies offer white-label AI voice agents through providers including Vapi, Retell, ElevenLabs Agents, Bolna and Ultravox.

Tasklet connects business tools and delegates operational work to AI agents through an agent-based business platform.

Credo AI helps organizations inventory AI systems, enforce governance policies, demonstrate compliance, and manage model and agent risk.

BurnRate tracks AI model provider spending in a dashboard and offers a local CLI for agent-level costs.

Developers can use Superexpert.AI to build and deploy multi-task AI agents on an open-source platform, with a downloadable project and live demo.

Deepchecks evaluates and monitors AI agents using testing, tracing, dataset scoring, and production observability tools.

Google Cloud’s Gemini Enterprise Agent Platform, formerly Vertex AI, helps developers build, scale, govern, and optimize agents.

Hopsworks provides a feature store and MLOps platform for building and operating production machine learning systems.

Algorithms for learning and inference with discrete probabilistic models.