16 open-source projects similar to hileamlakb/prims, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best PRIMS alternative.
A Node.js–based Model Context Protocol server that spins up disposable Docker containers to execute arbitrary JavaScript.
MCP server that allows LLMs to connect to and execute code using Piston
MCP server connecting Claude Code with E2B cloud sandboxes for working on any GitHub repo
Dockerized MCP Server to allow your AI agent to access any API with existing api docs
container-use is a containerized AI execution environment and code sandbox designed to provide a secure space for AI coding agents to execute commands and build applications. It functions as a workspace orchestrator that provisions isolated containers mapped to git branches, allowing multiple agents to operate in parallel without state conflicts or affecting the host system. The project serves as a Model Context Protocol server, bridging AI agents to containerized environments for standardized tool access. It enables a workflow for reviewing and merging changes made by agents within these iso
MCP server that connects any AI agent to MATLAB — execute code, async jobs, interactive Plotly plots, custom tools, and monitoring dashboard
A modern Python library for SLURM workload manager integration with workflow orchestration capabilities.
Secure runtime to sandbox AI agent tasks. Run untrusted code in isolated WebAssembly environments.
Self-hostable GPU-aware job broker for your own machines, with native MCP/agent integration
PydanticAI is a Python framework designed for building production-grade autonomous agents. It provides a unified interface for interacting with diverse language models, enabling developers to construct agents that perform complex tasks through structured data validation, tool execution, and multi-turn conversation management. The library centers on type-safe schema enforcement, ensuring that model inputs and outputs remain consistent and reliable throughout the agent's lifecycle. The framework distinguishes itself through a robust architecture that emphasizes modularity and testability. It ut
MCP server that exposes a V8 JavaScript runtime as a tool for AI agents like Claude and Cursor. Supports persistent heap snapshots via S3 or local filesystem, and is ready for integration with modern AI development environments.
SWI-Prolog as a logic calculator for LLMs — MCP server and Python library
A programming language designed for AI agents. No parser, no syntax — agents produce AST directly as JSON. Statically typed, effect-tracked, contract-verified, compiled to WASM via MCP.
MCP server that exposes YepCode processes as callable tools for AI platforms. Securely connect AI assistants to your YepCode workflows, APIs, and automations.