# Secure code sandbox

> Search results for `secure ai agent code execution` on awesome-repositories.com. 120 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/secure-ai-agent-code-execution

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/secure-ai-agent-code-execution).**

## Results

- [google-gemini/cookbook](https://awesome-repositories.com/repository/google-gemini-cookbook.md) (17,418 ⭐) — The Gemini Cookbook is a comprehensive collection of implementation patterns, code samples, and development guides designed for building applications with Google Gemini models. It serves as a central resource for developers to integrate multimodal generative artificial intelligence into their software, providing the necessary frameworks to manage model interactions, stateful workflows, and structured data extraction.

The repository distinguishes itself by offering specialized toolkits for autonomous agent orchestration, enabling the construction of agents that can execute code, browse the web
- [rikkahub/rikkahub](https://awesome-repositories.com/repository/rikkahub-rikkahub.md) (3,204 ⭐) — Rikkahub is an AI model aggregator and frontend interface that provides a unified platform for interacting with multiple large language model providers. It serves as a retrieval-augmented generation chat client with a provider-agnostic gateway, allowing users to switch between different models and endpoints.

The platform features a character persona manager for importing structured character cards and behavior settings to define specific interaction styles. It includes a sandboxed code execution environment with a portable Linux agent for running technical scripts and commands within the chat
- [slowmist/slowmist-agent-security](https://awesome-repositories.com/repository/slowmist-slowmist-agent-security.md) (474 ⭐) — A comprehensive security review framework for AI agents operating in adversarial environments.
- [coder/code-server](https://awesome-repositories.com/repository/coder-code-server.md) (78,024 ⭐) — This project provides a remote development platform that enables users to access a full-featured integrated development environment through a standard web browser. By decoupling the user interface from the server-side filesystem, it allows for persistent coding workspaces to be hosted on remote servers, virtual machines, or cloud-native infrastructure, ensuring a consistent development experience from any device.

The platform distinguishes itself through a secure gateway architecture that manages traffic, authentication, and encryption at the edge. It utilizes persistent WebSocket connections
- [opensandbox-group/opensandbox](https://awesome-repositories.com/repository/opensandbox-group-opensandbox.md) (11,627 ⭐) — OpenSandbox is a secure execution environment and runtime designed for running untrusted code and scripts generated by AI agents. It utilizes a containerized code execution engine and microVM-based isolation to protect host systems from malicious actions while providing isolated virtual environments.

The project features a sandbox server based on the Model Context Protocol to automate the creation and control of virtual workspaces. It supports the deployment of secure remote desktop hosts, including headless web browsers and editor instances, for automated interaction.

The system includes an
- [abhinavthedev/coding-agent](https://awesome-repositories.com/repository/abhinavthedev-coding-agent.md) (105 ⭐) — Open-source web app for your coding task. - Built with Next.js, CopilotKit. - Uses a coding assistant LangGraph agent for generating responses . - Simplifies developers task.
- [hmbown/deepseek-tui](https://awesome-repositories.com/repository/hmbown-deepseek-tui.md) (38,538 ⭐) — DeepSeek-TUI is an AI coding agent orchestrator and framework designed to automate complex programming tasks. It functions as a harness for coordinating AI models that can read source code, edit files, and execute shell commands through automated agent workflows.

The system is distinguished by its multi-agent coordination capabilities, which allow for the spawning of parallel sub-agents to handle concurrent investigations or implementation slices. It employs autonomous goal-seeking loops to pursue objectives across multiple turns and utilizes a tool integration gateway to connect models to ex
- [nirbar1985/ai-travel-agent](https://awesome-repositories.com/repository/nirbar1985-ai-travel-agent.md) (772 ⭐) — AI Travel Agent
- [anthropics/claude-code](https://awesome-repositories.com/repository/anthropics-claude-code.md) (132,728 ⭐) — Anthropic's terminal-native AI coding agent.
- [zebbern/claude-code-guide](https://awesome-repositories.com/repository/zebbern-claude-code-guide.md) (3,441 ⭐) — This project provides a framework for AI agent orchestration and context management, enabling the deployment of specialized AI personas and subagents to solve multi-step technical goals. It centers on managing specialized agents with isolated contexts and role-based prompts to handle domain-specific tasks.

The system differentiates itself through a hierarchical project memory using markdown files to maintain coding standards and a secure execution model that utilizes sandboxed environments and git worktree isolation. It also features a Model Context Protocol integration for external tool conn
- [sanbuphy/learn-coding-agent](https://awesome-repositories.com/repository/sanbuphy-learn-coding-agent.md) (12,034 ⭐) — This project is a framework for building AI coding agents that automate software development tasks using large language models. It includes a task lifecycle manager that tracks complex development goals through a persistent graph of dependent tasks and a system for multi-agent orchestration to delegate tasks to specialized sub-agents.

The framework implements a Model Context Protocol client to discover and execute tools from external servers and provides a remote development bridge to synchronize local command line interfaces with remote containers or desktop environments.

The system covers
- [imputnet/cobalt](https://awesome-repositories.com/repository/imputnet-cobalt.md) (41,096 ⭐) — Cobalt is a cross-platform web application designed as a distributed service platform for managing media content downloading. It functions as a full-stack monorepo that integrates a backend API with a responsive frontend, providing a unified interface for users to fetch and save media files from various online platforms.

The project utilizes a modular architecture where backend services, frontend interfaces, and shared logic are organized into decoupled packages within a single repository. This monorepo structure employs centralized workspace orchestration to manage dependencies and cross-pac
- [c0re100/qbittorrent-enhanced-edition](https://awesome-repositories.com/repository/c0re100-qbittorrent-enhanced-edition.md) (25,128 ⭐) — qBittorrent-Enhanced-Edition is a cross-platform desktop application designed to manage the downloading and uploading of files across peer-to-peer networks. It functions as an open-source file sharer, facilitating the decentralized distribution of digital content by breaking files into smaller pieces for efficient transfer.

The application utilizes a high-performance library to handle complex protocol specifications and employs a mature widget toolkit to provide a consistent native user interface across Windows, macOS, and Linux. It operates as a network traffic manager, incorporating asynchr
- [mckaywrigley/ai-code-translator](https://awesome-repositories.com/repository/mckaywrigley-ai-code-translator.md) (4,166 ⭐) — This project is an AI coding assistant and code translator designed to convert source code from one programming language to another while preserving original logic and functionality. It functions as an intelligent interface for learning programming techniques and implementing code through guided AI support.

The system includes a manager for creating and executing local autonomous AI agents to automate technical workflows and study machine learning behaviors. It also features a learning integration server that connects AI assistants with external educational content and technical context.

The
- [github/copilot-cli](https://awesome-repositories.com/repository/github-copilot-cli.md) (8,536 ⭐) — This project is a command line interface and GitHub CLI extension that functions as an AI coding agent and model orchestrator. It enables the writing of code and the management of repositories through natural language prompts using large language models.

The tool implements the Agent Client Protocol to act as a standardized agent server for external editors. It features a provider-agnostic routing system that allows switching between different hosted AI models or external compatible endpoints.

Capabilities include the automation of Git workflows, such as managing pull requests and issues, an
- [demandai/ai-quant-agents](https://awesome-repositories.com/repository/demandai-ai-quant-agents.md) (11 ⭐) — 🤖 AI Quant Fund — Multi-Agent Live Trading Analysis
- [docker/compose](https://awesome-repositories.com/repository/docker-compose.md) (37,588 ⭐) — Docker Compose is a tool for defining and running multi-container applications through declarative configuration files. It functions as an application lifecycle manager, coordinating the startup, shutdown, and scaling of interconnected services within isolated environments. By using a standardized configuration format, it enables infrastructure as code, allowing developers to manage complex application stacks and their dependencies in a single, repeatable file.

The project distinguishes itself by integrating directly with the broader Docker platform, leveraging a client-server architecture wh
- [fatih/vim-go](https://awesome-repositories.com/repository/fatih-vim-go.md) (16,242 ⭐) — This project is a comprehensive development plugin for the Vim text editor, designed to transform the editor into a specialized environment for Go software development. It provides a suite of integrated tools that facilitate the entire development lifecycle, including writing, maintaining, and navigating Go source code.

The plugin distinguishes itself by orchestrating external command-line binaries and language servers to perform heavy analysis, compilation, and formatting tasks as background processes. By mapping editor events to these external tools and utilizing virtual file system synchro
- [long-horizon-execution/measuring-execution](https://awesome-repositories.com/repository/long-horizon-execution-measuring-execution.md) (56 ⭐) — This project contains the code accompanying the ICLR 2026 paper The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs (OpenReview, arXiv).
- [awesomedata/awesome-public-datasets](https://awesome-repositories.com/repository/awesomedata-awesome-public-datasets.md) (75,979 ⭐) — This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications.

The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that
- [nvidia/nemoclaw](https://awesome-repositories.com/repository/nvidia-nemoclaw.md) (21,237 ⭐) — NemoClaw is an LLM agent orchestrator and sandboxed execution environment designed to deploy and manage the lifecycles of large language model agents. It provides a secure runtime that isolates persistent agents from the underlying host system to ensure operational security.

The system includes a secure LLM inference gateway that acts as a managed routing layer, securing communication between AI agents and inference engines to prevent unauthorized access. It also integrates with NVIDIA OpenShell to run specialized agents within a secure shell environment.

Operational control is provided thro
- [conductor-oss/conductor](https://awesome-repositories.com/repository/conductor-oss-conductor.md) (31,962 ⭐) — Conductor is a durable workflow engine designed to orchestrate complex, long-running business processes and autonomous agent loops. It functions as a stateful execution platform that persists the entire history of a process, ensuring that workflows remain reliable and recoverable across infrastructure failures, system restarts, and transient network errors. By managing task lifecycles, worker polling, and state transitions, it provides a centralized coordination layer for distributed systems.

The platform distinguishes itself through its specialized support for AI agent orchestration, allowin
- [ahmedmansour5/medisuite-ai-agent](https://awesome-repositories.com/repository/ahmedmansour5-medisuite-ai-agent.md) (1 ⭐) — A medical ai agent that helps automating the process of hospitals / insurance claiming workflow
- [hmbown/codewhale](https://awesome-repositories.com/repository/hmbown-codewhale.md) (38,468 ⭐) — CodeWhale is an AI coding agent orchestrator and development harness designed to coordinate autonomous agents that read, edit, and verify code. It provides a secure environment for AI agents to perform multi-step software engineering tasks, utilizing a sandboxed execution model to isolate shell commands and protect the host system.

The system distinguishes itself by spawning multiple independent agents in parallel to handle separate investigation or implementation slices simultaneously. It employs a multi-model gateway to route requests across various cloud APIs and local servers, and utilize
- [tencentcloud/cubesandbox](https://awesome-repositories.com/repository/tencentcloud-cubesandbox.md) (6,519 ⭐) — CubeSandbox is a Kubernetes-based platform for executing AI agents in secure, lightweight environments. It provides a code execution sandbox that uses hardware isolation and dedicated guest kernels to run untrusted code without risking the host system.

The project features a network egress firewall that restricts outbound communication via domain allowlists and audit logging. It also includes a container snapshotting manager capable of capturing the runtime memory and disk state of environments to enable instant cloning and recovery.

The platform covers cluster orchestration through a web-ba
- [lastmile-ai/mcp-agent](https://awesome-repositories.com/repository/lastmile-ai-mcp-agent.md) (8,037 ⭐) — mcp-agent is a framework for building AI agents that integrate with Model Context Protocol servers to execute tools and access data. It functions as a multi-agent orchestrator and protocol-compliant server, enabling the creation of agents that can discover and invoke tools from connected external servers.

The project distinguishes itself through a durable workflow engine that supports long-running tasks capable of pausing, resuming, and surviving restarts. It implements complex orchestration patterns, including iterative evaluator-optimizer loops, hierarchical workflow nesting, and specialist
- [daytonaio/daytona](https://awesome-repositories.com/repository/daytonaio-daytona.md) (72,416 ⭐) — Daytona is a cloud-native development environment platform designed to orchestrate ephemeral, containerized workspaces. It provides a centralized system for managing reproducible coding environments as code, ensuring consistency across distributed teams by abstracting the underlying infrastructure. By utilizing declarative configuration, the platform automates the entire lifecycle of development sandboxes, from initial provisioning to resource governance.

The platform distinguishes itself through its infrastructure-agnostic runner layer, which allows development environments to be deployed ac
- [yaoapp/yao](https://awesome-repositories.com/repository/yaoapp-yao.md) (7,544 ⭐) — Yao is an LLM agent framework and low-code web app builder designed for orchestrating autonomous AI agents. It provides a platform to design, deploy, and coordinate agents with specialized personas that can plan tasks, utilize external tools, and execute multi-stage pipelines.

The project distinguishes itself through a Model Context Protocol server for connecting assistants to external binaries and HTTP services, and a gRPC remote execution engine that allows agents to manage remote servers and devices. It includes a model-agnostic provider bridge that supports dynamic switching between vario
- [gabrielmaialva33/winx-code-agent](https://awesome-repositories.com/repository/gabrielmaialva33-winx-code-agent.md) (30 ⭐) — 🦀 A high-performance code agent written in Rust, combining the best features of WCGW for maximum efficiency and semantic capabilities.
- [ironclad/rivet](https://awesome-repositories.com/repository/ironclad-rivet.md) (4,608 ⭐) — Rivet is a visual LLM workflow designer and AI agent orchestration engine. It serves as a development environment for building retrieval augmented generation pipelines and a TypeScript library for embedding visual AI graphs and prompt logic into JavaScript applications.

The system differentiates itself through a node-based editor that maps data flow between language models, vector databases, and external APIs. It provides specialized tools for prompt engineering, including interfaces for iterative prompt refinement and A/B testing to improve model response quality.

The platform covers a broa
- [security-code-scan/security-code-scan](https://awesome-repositories.com/repository/security-code-scan-security-code-scan.md) (975 ⭐) — Vulnerability Patterns Detector for C# and VB.NET
- [e2b-dev/fragments](https://awesome-repositories.com/repository/e2b-dev-fragments.md) (6,326 ⭐) — Fragments is an open-source AI code generation sandbox that produces code automatically based on user prompts and executes it inside isolated cloud environments. The project provides a secure foundation for running AI-generated code by sandboxing execution away from the host system, preventing potential harm while allowing users to see results immediately.

The sandbox supports customization through configurable execution environments defined via Dockerfiles, enabling code to run in specific runtimes or frameworks. Users can integrate different language models and model providers by registerin
- [inngest/inngest](https://awesome-repositories.com/repository/inngest-inngest.md) (5,499 ⭐) — Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts.

The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer
- [containers/ramalama](https://awesome-repositories.com/repository/containers-ramalama.md) (2,605 ⭐) — Ramalama is a containerized runtime and management tool for large language models. It functions as an OCI AI model manager and registry client, allowing users to package, distribute, and execute AI models as standardized container images.

The project differentiates itself by using OCI-compliant distribution for models and retrieval augmented generation assets, enabling the packaging of vector databases into immutable container images. It features hardware-aware image selection that automatically detects GPU or CPU capabilities to pull the most optimized image for the host environment.

The sy
- [jnmetacode/ai-coding-guide](https://awesome-repositories.com/repository/jnmetacode-ai-coding-guide.md) (420 ⭐) — AI 编程工具实战指南 — 66 个 Claude Code 技巧 + 9 款工具最佳实践 + 可复制配置模板 | AI Coding Tools Guide with 66 Claude Code tips
- [e2b-dev/awesome-ai-agents](https://awesome-repositories.com/repository/e2b-dev-awesome-ai-agents.md) (25,903 ⭐) — This project is a curated repository and directory focused on the artificial intelligence agent ecosystem. It serves as a centralized knowledge base for developers and researchers to discover frameworks, platforms, and autonomous software entities designed for reasoning, planning, and executing complex tasks.

The directory distinguishes itself through a community-driven curation model, where contributors maintain and update the collection via a distributed version control system. This collaborative approach ensures that the index remains current with the latest academic resources, open-source
- [dair-ai/prompt-engineering-guide](https://awesome-repositories.com/repository/dair-ai-prompt-engineering-guide.md) (75,678 ⭐) — This project is a comprehensive educational resource and technical guide focused on the development, optimization, and application of large language models. It provides a structured curriculum for mastering prompt engineering, ranging from foundational principles of instruction design to advanced techniques for improving model reasoning, accuracy, and reliability.

The guide distinguishes itself by offering deep technical insights into agentic workflows and autonomous system design. It covers the implementation of multi-step reasoning chains, tool integration through function calling, and stat
- [gyoridavid/ai_agents_az](https://awesome-repositories.com/repository/gyoridavid-ai-agents-az.md) (3,640 ⭐) — This project is an AI content automation pipeline and LLM agent orchestration framework. It provides a system for generating research-backed text, images, and videos, and scheduling their distribution to social platforms.

The framework allows for the development of specialized AI agents and custom tool servers. These servers expose capabilities such as video editing and story generation as API endpoints, enabling agents to execute complex tasks through a combination of AI models and custom tooling.

The system covers automated content creation across text, image, and video media, utilizing hu
- [cloudflare/moltworker](https://awesome-repositories.com/repository/cloudflare-moltworker.md) (9,909 ⭐) — Moltworker is an AI agent sandbox and model orchestrator designed for the secure execution of untrusted code and shell commands generated by large language models. It functions as a gateway proxy that routes requests to multiple AI providers through a unified interface, integrating a container runtime backed by S3-compatible object storage to persist state across ephemeral lifecycles.

The system distinguishes itself by combining an AI model orchestrator with a headless browser controller for automated web scraping and screenshot capture. It manages the full lifecycle of AI agents, including m
- [coder/coder](https://awesome-repositories.com/repository/coder-coder.md) (12,272 ⭐) — Coder is a self-hosted platform for provisioning and managing isolated, containerized development environments. It provides a centralized infrastructure for teams to deploy ephemeral workspaces on private cloud or on-premises hardware, ensuring consistent toolchains and dependencies across distributed development environments.

The platform distinguishes itself through its focus on secure, infrastructure-as-code governance and autonomous agent integration. It allows organizations to define reusable, versioned environment templates that integrate with existing identity providers and role-based
- [nvisosecurity/cyber-security-llm-agents](https://awesome-repositories.com/repository/nvisosecurity-cyber-security-llm-agents.md) (370 ⭐) — A collection of agents that use Large Language Models (LLMs) to perform tasks common on our day to day jobs in cyber security.
- [xirong/my-git](https://awesome-repositories.com/repository/xirong-my-git.md) (7,396 ⭐) — my-git is a comprehensive framework and reference guide for Git version control administration, repository governance, and software release management. It provides a structured approach to managing the software development lifecycle, from initial feature branching to final production deployment.

The project distinguishes itself through a specialized AI-assisted development framework. This includes workflows for managing AI-generated code via automated diff reviews, intent-based commit splitting, and governance models for multi-agent coordination and session isolation using worktrees.

The cod
- [alibaba/opensandbox](https://awesome-repositories.com/repository/alibaba-opensandbox.md) (11,682 ⭐) — OpenSandbox is a secure sandbox runtime and containerized code execution engine designed to run AI-generated code and scripts in isolated environments. It serves as a workload orchestrator that prevents host system contamination by utilizing kernel-level isolation to execute arbitrary commands and scripts.

The project distinguishes itself by providing a model context server that bridges large language models to the sandbox for performing file operations and system commands. It also includes a remote GUI sandbox that supports browser automation and desktop interfaces via remote access protocol
- [kamranahmedse/developer-roadmap](https://awesome-repositories.com/repository/kamranahmedse-developer-roadmap.md) (357,434 ⭐) — Developer Roadmap is a community-driven platform that provides structured, graph-based learning paths for software engineering. It serves as a comprehensive knowledge repository where technical domains are organized into visual sequences to guide professional skill acquisition and career growth.

The project distinguishes itself through a collaborative ecosystem that enables users to contribute roadmaps, curate industry best practices, and maintain professional profiles. It integrates diagnostic assessment frameworks to evaluate technical proficiency, helping developers identify knowledge gaps
- [stormzhang/ai-coding-guide](https://awesome-repositories.com/repository/stormzhang-ai-coding-guide.md) (1,164 ⭐) — This project provides a comprehensive guide and framework for implementing autonomous AI coding assistants within local development environments. It focuses on orchestrating multi-agent teams that can plan, execute, and verify complex software engineering tasks, such as refactoring, bug resolution, and test generation, while maintaining deep awareness of project-specific context and memory.

The system distinguishes itself through a robust security-first architecture that enforces granular access controls, execution isolation, and mandatory human-in-the-loop approvals for all file modification
- [agent0ai/agent-zero](https://awesome-repositories.com/repository/agent0ai-agent-zero.md) (18,103 ⭐) — Agent Zero is an autonomous AI agent framework designed to execute complex, multi-step workflows by managing its own environment, persistent memory, and external tool interactions. It functions as a Python-based automation library that enables agents to write code, execute terminal commands, and perform system-level tasks independently. The system is built to handle large-scale operations through hierarchical agent delegation, allowing for the coordination of subordinate agents to maintain focus and context.

The platform distinguishes itself through a focus on secure, isolated execution and s
- [takishima/flake8-secure-coding-standard](https://awesome-repositories.com/repository/takishima-flake8-secure-coding-standard.md) (5 ⭐) — flake8 plugin that enforces some secure coding standards.
- [microsoft/agent-governance-toolkit](https://awesome-repositories.com/repository/microsoft-agent-governance-toolkit.md) (4,522 ⭐) — The agent-governance-toolkit is a framework for enforcing security policies, managing zero-trust identities, and sandboxing the execution of autonomous AI agents. It provides a governance layer designed to control the behavior of agents through the use of a security policy engine, cryptographic identity management, and a runtime execution sandbox.

The project distinguishes itself through a multi-tier privilege ring system and a cryptographic identity mesh that secures communication between autonomous entities. It implements a decay-based trust scoring mechanism to track entity reliability and
- [landing-ai/vision-agent](https://awesome-repositories.com/repository/landing-ai-vision-agent.md) (5,293 ⭐) — Vision-agent is an AI system and visual data extraction framework that translates natural language prompts into runnable Python scripts for analyzing images and video. It functions as a multi-model vision orchestrator, using large language models to plan and generate executable code for tasks such as object detection, counting, and video tracking.

The system employs a plan-and-execute cycle that iteratively generates and tests code, using an error-correction loop to refine the implementation until a solution is validated. It is configuration-driven, allowing the underlying language model back
- [julep-ai/julep](https://awesome-repositories.com/repository/julep-ai-julep.md) (6,607 ⭐) — Julep is an LLM agent orchestration platform and multi-tenant AI backend designed for building autonomous agents with persistent memory, tool integration, and complex multi-step workflows. It serves as a framework for configuring agent identities and behavioral settings to automate specialized professional roles.

The platform distinguishes itself through its stateful session management and RAG infrastructure engine, which allow agents to maintain long-term interaction history and ground responses in indexed private documents. It provides enterprise-grade infrastructure features, including a s