Alternatives to Bashkit

Daytona runs untrusted, AI-generated code in isolated sandboxes that start in under 90ms.

E2B runs secure Linux sandboxes so AI agents can execute code, process data, and use tools safely

HTTP REST API that runs untrusted Python in a sandbox with network and file I/O blocked

Rover runs multiple AI coding agents in parallel, each in its own isolated local sandbox.

Deploy web apps and AI agents with Git-based CI/CD, a global CDN, sandboxed VMs, and one gateway to hundreds of models.

Self-hosted AI agent with a browser UI, markdown memory on disk, and a cron scheduler that runs while you're offline.

Open-source CLI security scanner that red-teams AI agent prompts, audits MCP servers in a sandbox, and catches poisoned skill files

Winfunc runs AI security agents that audit a codebase, prove exploitability with PoCs, and hand engineers patch pull requests to review.

Open-source runtime that lets AI agents run shell commands on any environment, local or remote, through one API.

Self-hosted AI agent harness that auto-builds, sandbox-tests, and shares its own tools over MCP

Free, open-source TypeScript SDK that runs AI coding agents in isolated, pre-configured dev environments.

AI-native application security that governs coding agents and verifies reachable vulnerabilities before agents ship them.

Snyk is an AI-native AppSec platform that scans AI-written code, governs coding agents, and pentests the AI apps you ship.

Agentic AI code review plus a governance layer that enforces your team's coding rules on every pull request.

Agentic Development Security Platform that governs AI-written code from IDE prompt to CI/CD runtime.

AI code review agent that posts high-signal bug and security findings on your GitHub pull requests, with one-click fixes.

GitLab Duo is GitLab's agentic AI layer, adding specialized AI agents, code review, and policy-governed automation directly into DevSecOps workflows.

Agentic AppSec platform that maps code-to-runtime risk, from design-phase threat modeling to AutoFix remediation across large SDLCs.

DeepSource is an AI code review platform combining 5,000+ static rules with AI agents for pull request feedback.

Open-source library of 817 structured cybersecurity skills that AI coding agents load on demand, mapped to MITRE ATT&CK and free under Apache 2.0.

Declarative agent infrastructure where autonomous agents spend money, hold identity, and run under policy committed to code.

Hardware-isolated Linux VMs called Sprites that checkpoint automatically for AI agents, billed per second of active use.

CLI AI agent that chains Nmap, Nuclei, Burp Suite and Metasploit reconnaissance and exploitation into one orchestrated pentest workflow.

Loomal is a payments layer for agentic commerce — paywall an API or MCP tool and get paid per call in USDC on Base.

Open-source computer-use agent orchestrator that launches GUI agents locally, in Docker, or on any cloud.

Self-hosted layer that gives your AI coding agents shared memory, managed MCP tools, and cross-model audit.

Three markdown files that give any AI coding agent persistent memory between sessions — no framework, no database, just git.

Autonomous offensive-security agents that continuously find, exploit, and patch vulnerabilities in your apps, APIs, and AI agents.

A persistent, file-based memory layer for coding agents that lives as a Markdown folder in your repo.

Open-source AI security agent that finds, verifies, and fixes vulnerabilities in your code and live apps.