Factory AI vs Claude Code: agent platform or Claude stack

The decision in one table

Neither product is limited to a terminal. Factory spans CLI, Desktop, web, IDE, Slack, ticket systems, CI, SDK, and computers. Claude Code spans CLI, IDE extensions, Desktop, web, mobile monitoring, Remote Control, cloud sessions, code review, scheduled work, and an Agent SDK. A comparison that labels one local and the other cloud misses the current products.

Product architecture

Factory separates the agent harness from the foundation model. Droid supplies context assembly, tools, planning, permissions, session state, interfaces, and delivery. A supported Claude, GPT, Gemini, open-weight, gateway, or custom enterprise model can drive the session. Factory can optimize the harness by model and is developing routing that chooses a model by task.

Claude Code is Anthropic’s first-party coding harness for Claude models. The CLI, cloud session service, desktop application, IDE integrations, Remote Control, subagents, hooks, skills, MCP, and SDK are designed together with Claude. That reduces the number of vendors between model behavior and agent support. It also ties the agent’s model path to Anthropic.

The Factory architecture is attractive when model leadership is expected to rotate or an enterprise already has several approved model endpoints. The Claude architecture is attractive when model and harness co-design, support ownership, and a smaller integration chain matter. Both can use MCP and external tools, so model strategy is more differentiating than basic connectivity.

Local and cloud execution

Both products run locally and remotely. Droid CLI and Factory Desktop work against local files and tools. Factory web sessions can target persistent Droid Computers. Those computers can be Factory-managed or customer-owned through BYOM, and they retain packages, files, services, and configuration across sessions.

Claude Code CLI works in the local checkout. Remote Control exposes a local session for web or mobile steering while execution remains on the local machine. Claude Code on the web creates Anthropic-managed cloud sessions, and claude --remote starts them from a terminal. Cloud sessions clone from GitHub or bundle an eligible local repository, run independently after the laptop closes, and can create pull requests. A session can be pulled into a terminal with --teleport.

Factory wins when a long-lived prepared machine is part of the desired abstraction. Claude’s managed cloud path favors task sessions with setup caching and documented resource ceilings. Persistent state saves setup and can hide drift. Session environments cost setup time and tend to reproduce more cleanly. Choose based on workload rather than the word cloud.

Planning and specification workflows

Factory Specification Mode and Claude Code Plan Mode solve the same high-level problem: investigate and agree on an approach before source edits. In Factory, the mode can produce acceptance criteria, technical details, a file plan, tests, and security considerations. The user reviews the spec and selects an autonomy level for execution. Approved plans can be saved as Markdown.

Claude Code Plan Mode reads files and runs read-oriented exploration without editing source. It presents a plan and lets the user approve into auto, accept-edits, or manual review, continue planning, or use browser-based Ultraplan where available. Ctrl+G can open the plan in an editor. A plan can be the basis for a separate remote cloud task.

Factory’s mode is more explicitly specification-shaped. Claude’s mode is deeply integrated into the Claude session and remote workflow. Both reduce wrong-direction edits and both can produce polished plans containing false repository assumptions. Review interfaces, migrations, failure behavior, and tests before approval.

Permissions and autonomy

Factory uses Off, Low, Medium, and High autonomy levels plus tool policy, allow and deny lists, hooks, MCP restrictions, sandboxes, and organization caps. Droid Exec starts read-only. Low permits safe edits, Medium covers local development commands and commits, and High supports pushes, deployments, subagents, long operations, and Missions.

Claude Code exposes default, acceptEdits, plan, auto, dontAsk, and bypassPermissions modes. Rules can allow, ask, or deny named tools and command patterns, with deny taking precedence. Managed settings can disable dangerous modes and distribute organization policy. Auto mode uses background safety checks for eligible accounts. Bypass skips the permission layer and belongs in isolated environments.

The labels do not map exactly. Compare actual actions, protected paths, command classification, network behavior, admin enforcement, audit events, and failure behavior. For both products, a git worktree isolates branch files and does not isolate the host. Use a container, VM, dedicated runner, or carefully hardened computer for genuinely unattended broad execution.

Multi-agent execution

Factory Missions package multi-agent work as a first-class project mode. A Mission decomposes a goal, launches worker Droids, tracks milestones, and uses validators. Worker and validator models and reasoning effort can be chosen separately. Headless Missions run through droid exec --mission and require High autonomy or an unsafe bypass.

Claude Code supports subagents with separate contexts and tools, agent teams for coordinated roles, worktree isolation, and multiple parallel cloud sessions. Custom subagents can be configured in frontmatter and can use worktrees. The parent agent delegates research or implementation and receives results. Scheduled cloud work and routines extend the asynchronous surface.

Factory’s orchestration surface is broader. Claude’s subagent ergonomics are simpler for work that begins inside one Claude conversation. Neither removes integration and review cost. Shared assumptions, overlapping files, incompatible interface changes, and weak validators can fail across both. Place deterministic checks outside the agent consensus.

Headless automation and CI

Droid Exec and Claude Code print mode both act like Unix programs. Each accepts a prompt, uses tools under a permission policy, can return machine-readable output, and exits. Factory supports text, JSON, streaming JSON, and a full streaming JSON-RPC control surface. Claude Code supports text, JSON, and streaming output plus schema-constrained structured output and agent SDK paths.

# Factory
droid exec --auto low -o json "fix lint errors and run lint"

# Claude Code
claude -p "fix lint errors and run lint" --output-format json --permission-mode acceptEdits

Factory authenticates unattended jobs with a Factory API key and can apply organization model and tool policy. Claude Code can use Anthropic API credentials or supported subscription and enterprise authentication paths, with managed settings and tool rules. Both can operate in GitHub workflows; Factory documents a Droid Action for automated review, and Anthropic documents GitHub Actions and Code Review workflows.

Factory’s raw JSON-RPC path is attractive when building a custom interface or orchestration service around Droid. Claude’s Agent SDK is attractive when building directly on the Claude Code agent runtime and Anthropic ecosystem. In both cases, pin versions, parse only documented fields, set timeouts, handle interruption, clean processes, and run deterministic validation after the model reports success.

Context, integrations, and customization

Factory uses AGENTS.md, hierarchical settings, skills, custom Droids, plugins, hooks, MCP, repository integrations, ticket systems, chat, organization knowledge, and model gateways. Its platform ambition is to keep context available as work moves among terminal, web, IDE, and enterprise workflows.

Claude Code uses CLAUDE.md, settings layers, auto memory, skills, custom commands, plugins, hooks, subagents, MCP, IDE context, and GitHub or web session integrations. The first-party Claude ecosystem is extensive, and the Agent SDK exposes the runtime to custom applications.

• Factory advantage: model and interface independence plus organization-wide integration and gateway policy.
• Claude advantage: one mature first-party context system aligned with Claude behavior and Anthropic documentation.
• Shared risk: stale instructions, excessive always-loaded context, malicious content from tools, and credentials broader than the task.
• Shared control: keep durable instructions concise, restrict tools at capability boundaries, and make tests decide acceptance.

Migration cost exists in both directions. AGENTS.md has broader cross-agent recognition, while Factory-specific Droids, Missions, policies, and computer setup deepen Factory adoption. CLAUDE.md, Claude plugins, hooks, and subagent definitions deepen Anthropic adoption. Store important engineering conventions in repository-owned, human-readable files where possible.

Enterprise governance and deployment

Factory is particularly strong when the buyer frames autonomous agents as infrastructure. Teams and Enterprise packaging covers identity, provisioning, zero data retention, admin model and autonomy controls, deny lists, audit, OTEL, dedicated partitioned compute, encryption keys, data residency, session retention, network policy, hybrid and on-premises options, named support, and rollout programs.

Anthropic also sells Team and Enterprise plans with Claude Code, organization administration, managed settings, identity controls, cloud and local product access, and enterprise support. Its value is the direct Claude platform relationship. Exact seat packaging and hosted-service behavior vary by plan generation, so procurement should rely on the current order form and architecture documentation.

Require a data-flow map for every interface. Local does not automatically mean data stays local because model calls and telemetry still travel. Cloud does not automatically mean weak control because dedicated endpoints, retention rules, and network policy can materially change the boundary. Verify code, prompt, transcript, tool output, audit, secret, and provider paths.

Pricing and limits

Individual list prices align unusually closely. Factory Pro is $20, Plus is $100, and Max is $200 per month. Claude Pro is $20 month to month, with Max plans at $100 and $200. Existing site and official plan material show Claude Code included across these relevant Claude subscriptions. The naming of the middle tier differs, while the dollar ladder is essentially the same.

Factory applies 5-hour, weekly, and monthly Standard Usage windows. It advertises Plus at about five times Pro and Max at about ten times Pro. After Standard Usage, a separate Droid Core pool can continue with selected open-weight models at no additional charge, or prepaid Extra Usage can continue other models. Missions require Extra Usage enabled.

Claude subscription usage is shared across Claude and Claude Code under plan rules and uses rolling limits. Anthropic also offers API and usage-based paths. Exact task capacity varies with model, context, tools, and parallel work. Running cloud tasks consumes the same account usage rather than adding a separate computer invoice under the documented Claude cloud model.

Benchmarks and real evaluation

Factory published strong Terminal-Bench results in September 2025, including a 58.75 percent result on the then-current core set and same-model comparisons intended to show harness value. The methodology used sandboxed Ubuntu environments and broad permissions suitable for the benchmark. The result is meaningful historical evidence that Droid’s harness was competitive.

Claude Code evolves with new Claude models, permission modes, cloud features, and worktree support. Any fixed comparison decays. Benchmark versions also change. A current leaderboard can help choose candidates and cannot model your private monorepo, flaky integration environment, coding conventions, review standards, or deployment constraints.

Which should you choose?

• Choose Factory AI for model-independent Droids, persistent managed or owned computers, packaged Missions, cross-interface enterprise workflows, gateways, on-premises options, and platform-level governance.
• Choose Claude Code for the direct Claude agent, fast adoption under an existing Claude plan, mature first-party CLI and cloud sessions, deep Claude customization, and a smaller vendor chain.
• Use both during evaluation when model and harness performance are uncertain. Put each in a separate worktree and judge accepted output rather than transcript style.

A mixed long-term stack can also be rational. Factory can be the governed platform for selected organizational workflows while Claude Code remains a developer’s direct interactive tool, subject to company policy and duplicate spend. The operational cost is two context systems, two limit systems, two audit paths, and more training. Keep both only when the work division is explicit.

Questions people ask

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