Blaxel vs Daytona (2026)

Agents reach outside systems through hosted MCP servers. The MCP Hub offers prebuilt servers such as Gmail and Google Maps, customers deploy their own MCP servers as autoscaling endpoints on the same private network as their agents, an OAuth flow lets end users authorize integration connections, and code mode turns any OpenAPI specification into an MCP server whose tools the agent calls by running TypeScript in a sandbox. Outbound calls from a sandbox can also carry secrets injected by the managed egress proxy, so the agent's code never holds the credential.

Sourcedocs.blaxel.ai/functions/overviewread 2026-11-05

An agent in a Daytona sandbox reaches outside systems through what runs inside it. Git operations clone and push repositories, secrets hold credentials and external storage can be mounted. Firewall allow lists decide which hosts the agent may reach. Daytona has no catalog of connectors, OAuth actions or tool gateway of its own. The tools are the customer's code.

Sourcedaytona.io/docs/llms.txtread 2026-09-22

Batch jobs fan work out across many isolated sandboxes, running tasks in parallel with configurable concurrency, timeouts and retries, and executions can be started, monitored, retried and cancelled from the SDKs. Agents built with LangChain, CrewAI or other frameworks deploy as hosted endpoints, and n8n can orchestrate them. How an agent's own steps are sequenced and handed off stays in the customer's framework, and Blaxel's own session runtime for long running agents is announced but not yet available.

Sourcedocs.blaxel.ai/jobs/overviewread 2026-11-05

The platform manages sandboxes. It creates and resizes them, applies lifecycle rules and runs warm pools and fleet scaling. It does not sequence, branch, retry or route an agent's steps. In Daytona's guides, agents built in LangGraph, the OpenAI Agents SDK and other frameworks do that, and Daytona has no workflow logic that mixes fixed steps with agent steps.

Sourcedaytona.io/docs/en/sandboxesread 2026-09-22

Work starts on schedules, API calls and inbound requests. Sandbox schedules run a command on a cron expression, at a future datetime or after a delay, with an execution history for each run, and batch jobs run on cron schedules or on demand. Hosted agents and MCP servers answer at global endpoints, and a sandbox on standby resumes in about 25ms when a connection arrives.

Sourcedocs.blaxel.ai/sandboxes/schedulesread 2026-11-05

Events go outward. Webhooks notify the customer's endpoint when sandboxes are created or change state and when snapshots and volumes change. Automated lifecycle rules stop, pause, archive or delete idle sandboxes. An agent's work starts only when the customer's code starts it. There is no schedule, and a stopped sandbox does not wake on an inbound request.

Sourcedaytona.io/docs/en/webhooksread 2026-09-22

No retrieval index or knowledge base over the customer's content comes with the platform. Agent Drive, volumes and the sandbox filesystem hold files an agent's code reads, and retrieval built with LlamaIndex or another framework runs as the customer's own hosted agent.

Sourcedocs.blaxel.ai/agent-drive/overviewread 2026-11-05

The agent's code runs on Daytona, but there is no retrieval structure over the customer's content. Volumes and mounted external storage hold files the agent's code reads, and there is no index to query. The language server in a sandbox serves code intelligence for the files there. Nothing in Daytona indexes, refreshes or sets permissions on the customer's sources.

Sourcedaytona.io/docs/llms.txtread 2026-09-22

A sandbox on standby keeps its memory and running processes and resumes in about 25ms, even months later, and snapshots, forks and archives copy or preserve that state. Volumes keep data for years, and Agent Drive, free while in beta, gives several agents one shared filesystem for files and session context. This is machine and file state the developer manages, not a memory layer with a stated scope and lifetime that a buyer can review or delete as memory.

Sourcedocs.blaxel.ai/sandboxes/forkread 2026-11-05

Persistence is on by default at three layers. The filesystem survives stop, start and archive. On VM sandboxes, memory (running processes and loaded state) survives pause and resume and hot snapshots. Volumes and mounted external storage outlive any one sandbox. Sandboxes can also be forked, and the agent's code reads the restored state to carry on. Paused process state belongs to the machine, so the customer can resume or delete it but cannot review or edit it. There is no separate memory layer that sets what an agent keeps or for how long.

Sourcedaytona.io/docs/en/persistenceread 2026-09-22

There is no approval step or escalation to a person for an agent's actions. Domain, method and path filters on the egress proxy limit what code can reach, and guardrails come from a partner integration with Rippletide, but nothing pauses an action until someone reviews it.

Sourcedocs.blaxel.ai/sandboxes/proxy-domainsread 2026-11-05

Work in a sandbox has no approval step, consent checkpoint or escalation to a person. VNC, a web terminal and SSH let a person watch a sandbox and step in by hand. A firewall on each sandbox (allow lists or block all, with organization tiers that sandbox settings cannot override) restricts what an agent's code can reach. Nothing holds an agent's action for a person to review.

Sourcedaytona.io/docs/en/network-limitsread 2026-09-22

Blaxel holds SOC 2 and ISO 27001, with reports in its compliance portal, and signs HIPAA Business Associate Agreements as a monthly add on. Workspace admins create policies, invite and remove users, change permissions and manage integrations, while members work with agents, MCP servers, model APIs, jobs and sandboxes and can only read policies. SAML single sign on and SCIM directory sync are configured at the account level, service accounts give machines their own credentials, and domain capture controls how a company's users sign in.

Sourcedocs.blaxel.ai/security/workspace-access-controlread 2026-11-05

Organizations sign in through OpenID Connect providers such as Google Workspace, Microsoft Entra ID and Okta, with provisioning and membership handled at sign in on the Enterprise plan. Collaborative organizations have owner and member roles plus granular assignments by resource, such as SSO Admin and access to the audit log.

API keys carry permissions and scopes, with managed child keys. An audit log covers user and system activity, and each sandbox has firewall allow lists or block all. Daytona says it meets HIPAA, SOC 2 and GDPR standards and has a Trust Center, but it names no report type or auditor.

Sourcedaytona.io/docs/en/ssoread 2026-09-22

Agents hosted on Blaxel are traced with no setup. Each trace breaks a request into spans for LLM calls, tool calls and agent steps with their inputs and outputs, a sampled 10% of executions are kept and any run can be forced to keep its trace, and custom spans add detail. Logs cover request status, builds and custom output, metrics show request rates, latency percentiles and token use, and the managed egress proxy audits every request an agent sends out.

Sourcedocs.blaxel.ai/observability/overviewread 2026-11-05

Each step an agent takes in the sandbox is recorded. SDK tracing instruments every Daytona API operation and SDK call from the customer's application, such as each command run, file written or process started. Sandbox telemetry collects traces, logs and metrics from inside the sandbox.

Both export over OpenTelemetry to the customer's own collector, and Daytona keeps sandbox telemetry for three days. A separate audit log records user and system activity with the user, action and time, and logs can be streamed. The model's reasoning runs outside Daytona. Audit export is not available yet, and Daytona says it is coming soon.

Sourcedaytona.io/docs/en/observability/otel-collectionread 2026-09-22

Sandboxes run in one chosen region (Oregon, North Virginia, London or Frankfurt), while agents, MCP servers and jobs spread across the regions a policy allows, and location policies stop any resource from running in a prohibited region. Private networking connects the customer's VPC through private endpoints, and a bring your own metal option runs the sandbox runtime on servers in the customer's own VPC, connected to Blaxel's control plane.

Sourcedocs.blaxel.ai/infrastructure/regionsread 2026-11-05

Sandboxes run in two shared regions, the United States and Europe, chosen per sandbox. Under Bring Your Own Compute, an organization instead creates custom regions and attaches its own runner nodes, with an optional proxy and snapshot manager for each region, for control over data locality and compliance.

Daytona's control plane manages them, and BYOC is sold on the Enterprise plan. The platform sold today cannot be self hosted from open source. Core development has moved to a private codebase, and the public github.com/daytonaio/daytona repository gets no further updates. Its last release, v0.190.0, stays public under AGPL 3.0.

Sourcedaytona.io/docs/en/bring-your-own-computeread 2026-09-22

Starting points come as hubs and templates. The MCP Hub offers prebuilt MCP servers, the Sandbox Hub ready development environments, and deployment templates and full repository examples start new agents and servers, with tutorials for Claude Code, Codex, OpenClaw and a dozen frameworks. These are tools and building blocks a developer assembles, not finished agents a business adopts.

Sourcedocs.blaxel.ai/examples/overviewread 2026-11-05

Ready made starting points for running agents include default sandbox snapshots in several sizes, a Declarative Builder for images and an agent skill for coding agents. More than forty guides run coding agents (Claude Code, Codex, Devin, Gemini CLI, OpenClaw, OpenCode), as well as framework agents and reinforcement learning setups, in sandboxes, and a reference implementation runs Cursor's Cloud Agents on self hosted Daytona sandboxes. Developers build from these environments and walkthroughs. There is no browsable catalog of agents a customer can adopt.

Sourcedaytona.io/docs/en/agent-skillsread 2026-10-23

The customer chooses the models its agents call. The model gateway puts OpenAI, Anthropic, Mistral, Cohere, xAI, DeepSeek, Azure AI Foundry and Hugging Face models behind one endpoint with central credentials, policies can cap tokens, and any agent or coding tool running in a sandbox can use whichever model it is configured for.

Sourcedocs.blaxel.ai/models/overviewread 2026-11-05

The customer chooses the model. Guides run agents on Claude, OpenAI Codex and the Agents SDK, Gemini, Kimi and AWS Kiro, and on open models through OpenCode and other frameworks. GPU sandboxes serve the customer's own LLMs with vLLM or SGLang. Daytona imposes no model, and customers bring their own providers and keys, with guides on setting them up.

Sourcedaytona.io/docs/llms.txtread 2026-09-22

Every resource is managed through a REST API with public OpenAPI specifications, TypeScript, Python and Go SDKs and the bl CLI, covering sandboxes, snapshots, schedules, previews, agents, MCP servers, jobs, drives, volumes, policies, secrets and workspaces. An MCP server lets assistants such as Claude, Codex or Cursor manage Blaxel resources, and each sandbox exposes its own API and MCP server for files and processes.

Sourcedocs.blaxel.ai/api-reference/introductionread 2026-11-05

Outside callers reach Daytona through SDKs in five languages (Python, TypeScript, Ruby, Go and Java), a REST API with published OpenAPI specifications, and a CLI. The specifications cover the Daytona API, the Toolbox API inside the sandbox and an Analytics API. An MCP server lets Claude, Cursor and Windsurf manage sandboxes, and an agent skill serves coding agents.

Sourcedaytona.io/docs/llms.txtread 2026-09-22

There are no test cases, scoring or quality gates for an agent's behavior. Traces and logs show what a run did after the fact, and reinforcement learning or benchmark runs that use the sandboxes score themselves in the customer's own code.

Sourcedocs.blaxel.ai/llms.txtread 2026-11-05

Evaluations and reinforcement learning run on Daytona, but it does not score them. Its guides run training with HUD, TRL, veRL and OpenEnv in sandboxes, along with a benchmark agent across several languages. The datasets, reward functions and scoring belong to those frameworks. Daytona offers no fixtures, scoring or quality gates for a customer's agent workflows, and no way to compare agent runs.

Sourcedaytona.io/docs/llms.txtread 2026-09-22

No browser or desktop for an agent to drive comes with the platform. Sandboxes run web apps behind preview URLs for people to view, and an agent that needs to browse installs and drives a browser itself inside the microVM.

Sourcedocs.blaxel.ai/llms.txtread 2026-11-05

The Computer Use API gives an agent programmatic control of a desktop in the sandbox, from mouse and keyboard to screenshots, screen recording and display operations, on Linux and Windows. VNC lets a person watch or take over. The desktop runs remotely on Daytona's infrastructure. macOS sandboxes run on Mac hardware reserved for the customer through use.computer, with their own API key, and the Daytona SDKs, CLI and API do not manage them.

Sourcedaytona.io/docs/en/computer-useread 2026-10-23