Factory brings Droid, Missions, and automation to software delivery. Lit Factory connects your existing coding agents, people, tools, and operational knowledge on one shared Floor. Start with the bottleneck your organization needs to solve.
Independent comparison by Lit Factory · Reviewed September 29, 2026. Factory AI and Droid are Factory products. Lit Factory is an independent company and is not affiliated with or endorsed by Factory.
Start with Factory AI when…
You want to standardize agent execution around Droid, including multi-step Missions, repository knowledge, and software automations. Test Factory’s execution, validation, security, and administration against your engineering requirements.
Agent output is growing, but reviews, decisions, and handoffs still wait on people. You need shared operational context, your choice of agents and models, control over agent responsibility, and a way to turn observed bottlenecks into better workflows—on infrastructure you operate.
Both products offer model choice, automation, and enterprise deployment options. Compare how they handle execution, organizational coordination, and your specific operating requirements.
Agent execution and coordination
Factory AI
Factory centers execution on Droid. Missions coordinates planning, worker agents, milestones, and validation for larger software projects.
Keep the coding-agent harness you have tuned and optimized for your workflow—Claude Code, Codex, Cursor, or OpenCode—with your configured skills, tools, and team instructions. Built-in MCP connections bring those existing agent environments onto a shared Floor. Light works alongside them, with shared work, ownership, discussions, and human review.
Configure Light with your own provider, gateway, or compatible local endpoint, including self-hosted models from the Qwen, Kimi, and DeepSeek families. External coding agents retain their own model configuration.
AutoWiki generates repository documentation, including architecture and APIs, and can keep it current as code changes. It supports Factory browsing and GitHub wiki synchronization.
The Brain keeps operational knowledge alongside work and decisions. Dynamic channels group matching work, so people and agents can find the context for a handoff or review.
Factory separates interaction modes, including specification and Missions, from the autonomy level that controls which actions Droid can take without approval.
Set an autonomy band on a task, and Lit Factory passes behavioral instructions into the connected agent’s workflow, including the Claude Code session the developer is already using. The agent adapts how it proceeds, asks for input, and requests review. Work interactively or delegate more autonomy, and step in at any point. Access and tool permissions remain separate controls.
Factory supports scheduled and event-triggered automations, including Slack, GitHub, and webhooks. Recommended starters can open prepared requests for Droid to build.
Use automations to route work and follow up across connected tools. Optimize can suggest an improvement with a prepared request for Light: review it, press Enter to send, and confirm the proposed automation.
Agent Effectiveness connects Factory activity and spend to work and delivery outcomes. It is documented as a private preview requiring integrations and Advanced Analytics.
Observe work, waiting, and agent participation on the Floor; use the surrounding context to choose an intervention, then inspect what changes. Turn observed bottlenecks into workflow improvements with Optimize.
Factory offers organization plans with seat and usage terms, plus custom enterprise arrangements. Enterprise offerings include identity, administration, and deployment controls.
Cloud pricing pools Sparks across unlimited humans and agents without a seat fee. Enterprise terms are scoped separately, and model-provider charges may be additional.
A shared workspace that helps improve how work gets done.
The Floor connects the work, its context, the people and agents responsible, and the next improvement. Start with one recurring workflow and measure what changes.
01 / Observe
See where work waits.
Follow work across connected tools. Dynamic channels organize matching work; metrics surface queues, interruptions, and review waits.
02 / Understand
Give agents a shared Brain.
Keep knowledge, decisions, and source context available to the team. Light, the built-in agent, can use that context alongside connected tools.
03 / Act
Set the responsibility.
Choose an autonomy mode for agent work. Coordinate Light, external agent clients, and recurring automations around the same work and human decisions.
04 / Optimize
Turn a bottleneck into a next step.
Optimize suggests automations with a prepared request. Review it with Light, press Enter to send it, and confirm the setup before enabling it.
Suggestions start a conversation, not an unattended change. Compare the intended autonomy with recorded participation, then adjust the workflow as evidence accumulates.
Take a real issue through implementation, human review, a decision in Slack, and completion. Inspect who owns each step, what context survives the handoff, and where the work waits. Then test one automation to improve it.
Keep the evaluation fair.
Use the same repository, acceptance criteria, and review requirements. Measure completion quality, waiting time, human interventions, and total operating cost.
Use your everyday agent setup.
Connect the Claude Code or Codex environment your developers already use, with their skills and team instructions. Set a task’s autonomy band and follow the work through an agent handoff and human review.
Questions from enterprise teams
How does Lit Factory’s autonomy dial work with Claude Code?
The task’s autonomy band is passed as instructions to the connected Claude Code harness, guiding how the agent proceeds, asks for input, and requests review. Developers can work interactively, delegate more autonomous execution, and step in at any point in their existing agent session. The autonomy band guides behavior; it does not replace access controls or tool permissions.
Is Lit Factory a direct competitor to Factory AI?
Yes, when an organization is choosing an enterprise platform for AI-assisted software delivery. Factory brings substantial execution and orchestration capabilities through Droid and Missions. Lit Factory is especially relevant when the organization wants to coordinate its existing mix of coding agents, people, decisions, and connected tools on a shared Floor.
Are model choice and self-hosting unique to Lit Factory?
No. Both products offer model choice and enterprise deployment options. Lit Factory brings your existing coding-agent environments, people, tools, and operational knowledge together on a shared Floor that runs on your infrastructure.
What does Factory offer that we should evaluate carefully?
Evaluate Missions on multi-step coding work, AutoWiki for repository documentation, its security and administration controls, and its effectiveness reporting. Ask both vendors to demonstrate the requirements that matter to your team, with the same repository and review standard.
Which option costs less?
That depends on your team and workflow. Compare platform or plan fees, usage, model-provider bills, infrastructure, and operating time. Lit Factory’s cloud pricing has no seat fee, while enterprise commercial terms are scoped separately.
Explore the linked Factory guides for more about Droid, Missions, and enterprise features.
Bring one workflow and your deployment requirements.
We will map the people, tools, decisions, and agent responsibilities it needs. Leave with a practical first deployment scope and a clear outcome to measure.