Multi-agent runtime
Give planning, coding, review, docs, and tests their own agents. Work moves between explicit roles, with an orchestrator coordinating the handoffs.
Explore the architecturePlan, build, and pick up where you left off. Bring your own models and give every agent the tools and boundaries it needs.
From the first plan to the final review, give every part of the job a clear role.
Give planning, coding, review, docs, and tests their own agents. Work moves between explicit roles, with an orchestrator coordinating the handoffs.
Explore the architectureSet an objective with /goal. Bulb keeps working across iterations, checks its progress, and stops when the work is complete or needs attention.
Add reusable instructions from a local folder or a Git repository. Bring compatible Claude Code skills into the same workflow.
Explore skillsChoose how much freedom your agents have. In ask-first mode, review the plan and use /approve when you’re ready for work to begin.
Connect Anthropic, OpenAI-compatible providers, or local models through LM Studio and Ollama. Choose the models that suit your work.
Explore model setupUse /thinking to adjust the reasoning effort for the active model. The runtime maps your choice to the connected provider.
Keep the useful context, shape the tools, and make the next session easier to begin.
Return to the conversation, tasks, and agent activity you left behind. Resume saved work or compact a long thread without starting over.
Explore sessionsSave preferences and project knowledge with /memory. Personal and project memories come along when you start the next session.
Turn a prompt you use often into a command. Keep it in your personal setup or share it with a repository.
Explore custom commandsAdd your own checks around tool use, permission requests, and session startup. Keep project-specific rules close to the work.
Explore hooksSearch the web, read pages, and download resources from the same session. Network access follows the configured approval flow.
Explore web toolsBring images and files into the conversation, copy a response, or select text with dedicated keyboard shortcuts.
Explore attachmentsChoose what agents can reach and how you want to work with them.
Provider API keys are encrypted with AES-GCM. Configuration, trusted paths, and saved sessions stay in the local harness storage.
Explore configurationSet filesystem and network policies for shell commands. Bulb uses the available operating-system controls, with platform-specific capabilities documented in the guide.
Explore sandboxingControl a session remotely, continue from Telegram, or connect an ACP-capable editor. Use the same runtime from the tools around you.
Explore remote connectionsOpen a project and put Bulb to work.
Built on the open-source Spettro harness. Explore the implementation and platform details in the Bulb guides.