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Kernel

Browser infrastructure for web agents and automations

Kernel provides isolated cloud Chromium sessions controlled through an API, SDK or CLI, using Playwright, CDP, WebDriver BiDi or computer use. It supports persistent profiles, managed auth that keeps credentials and MFA codes out of the agent conversation, and stealth mode with captcha solving and proxies. It also has live view, session replay, a hosted MCP server, and browser pools for latency-sensitive work.

Visit kernel.sh

E2B

Open-source sandboxes for running AI-generated code.

E2B gives agents secure, isolated cloud micro-VMs to execute code and commands — the execution runtime layer of the harness, used by many coding and data-analysis agents.

4 pros · 3 cons

Elastic sandboxes for running AI-generated code.

Daytona provides secure, OCI-compatible sandbox 'computers' that spin up in under 90ms — with snapshots for persistent agent state. In 2026 it moved core development to a private codebase while continuing to run as a commercial platform.

3 pros · 4 cons

The integration layer: hundreds of managed tools your agents can call.

Composio handles auth, schemas, observability and reliability for the external SaaS tools an agent uses — 'plumbing for agentic actions' across Slack, GitHub, Salesforce and 250+ other surfaces.

4 pros · 4 cons

Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

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