Happycapy alternatives

Serves as an API gateway and workspace that lets users access AI models from providers such as OpenAI, Anthropic, Kimi, and Qwen through a single account. It features protocol-compatible endpoints for developers, cross-platform and terminal clients, and a dedicated image editing studio.

Acts as an autonomous coding agent in your terminal, desktop app, or code editor to plan, write, and test changes across your codebase. It uses real-time Language Server Protocol diagnostics to automatically detect and fix compiler errors and syntax mistakes as it edits.

Builds and deploys full-stack web applications, backends, and databases directly from natural language prompts within a unified cloud workspace. An autonomous agent generates multi-file code, installs dependencies, and runs automated browser tests to detect and fix errors.

Generates fully deployed software systems, such as CRMs, client portals, and dashboards, from simple text descriptions. It combines relational databases, specialized AI agents, and automated workflows across multiple project views without touching code.

Provides serverless model APIs, on-demand GPU infrastructure, and isolated code execution sandboxes for software engineers and ML teams. It enables developers to access hundreds of AI models and run autonomous agent workflows without configuring virtual machines.

Delegates software engineering tasks to autonomous AI agents that can plan complex steps, modify files, and execute terminal commands. Its browser-in-the-loop automation allows agents to autonomously run local development servers, test web interfaces, and inspect console errors.

Combines third-party AI engines into a unified workspace to generate text, video, audio, images, and presentations. It features smart model routing to match workflows with suitable engines and supports direct publishing to WordPress and social media.

Runs and orchestrates open-weight AI models locally or in the cloud without requiring manual CUDA setups or library wrangling. Built for developers, it enables private on-device execution alongside drop-in compatibility with standard API protocols.