AI integrations
Connect your AI agents to real project work
Connect the tools your team already uses. Run inside a local repository, access the workspace through MCP, or share local models with explicit controls.
Claude Code
Give Claude Code a real project queue, linked repository, card context, and a visible path from mission to review instead of managing work across terminal sessions.
Set up the integrationCodex
Queue coding work as project cards, run Codex on the machine that owns the repository, and keep mission progress, questions, failures, and results visible to the team.
Set up the integrationCursor
Use Cursor as a local coding runner or connect the editor to Stellary MCP so project context, card actions, and execution stay tied to the same workspace.
Set up the integrationClaude Desktop
Bring live Stellary projects, cards, documents, and controlled actions into Claude Desktop without copying the workspace into a separate conversation.
Set up the integrationLM Studio
Use models served by LM Studio as local Stellary execution targets while the project, cards, documents, assignments, and results remain in the shared workspace.
Set up the integrationAnythingLLM
Connect an AnythingLLM local server to the Stellary workspace catalog and use compatible models for project missions without separating execution from cards and review.
Set up the integrationChoose the right connection mode
Local runner
For an agent CLI that must work inside the Git repository linked to the project.
MCP
For a compatible client that must read or update workspace objects through a governed identity.
Local model server
For making ready, authorized local models available to workspace agents.