Alternatives to Metastacks

An autonomous software development platform that uses AI agents to accelerate enterprise software development.

Observee provides integrations infrastructure for Vertical AI companies, enabling AI Agents to connect with external data and services.

The platform for building reliable AI agents and LLM applications.

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

Generative media platform for developers, offering serverless GPUs and AI model access via API.

AI skill layer enabling agents to reliably interact with over 3000 real-world tools and APIs.

Persistent memory layer for AI agents and applications.

Blaxel provides a persistent sandbox platform for AI agents to securely run code and share data.

Truffle AI provides an AI agent development platform that enables businesses to build, customize, and deploy AI agents to automate and unify workflows in minutes.

CrewAI is a leading multi-agent platform that enables businesses to build, deploy, and orchestrate smarter AI-powered workflows across various industries using any LLM and cloud platform.

String is an AI agent builder by Pipedream that allows users to create, run, edit, and deploy powerful AI agents using natural language prompts.

MooresLabAI automates silicon engineering tasks using an AI Agentic framework to accelerate chip design and verification.

Provides tools and services for automated browser testing and scraping.

AI-powered platform for building and deploying custom AI agents.

Zep gives AI agents enterprise-grade memory via context graphs — sub-200ms retrieval, SOC 2 compliant, validated by S&P Market Intelligence.

Trickle AI allows users to turn their ideas into live apps and websites using natural language and a visual canvas.

Ship production AI agents with streaming tool execution, context engineering, and sandbox isolation.

A Chinese AI company developing the Kimi chatbot and a series of large language models for various applications.

MLOps platform for tracking, visualizing, and collaborating on machine learning experiments.