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Lalabase

Lalabase is project management built for developers who work with clients, putting tickets, time tracking, documentation, and meetings in one workspace instead of five separate tools. Each client gets an organisation with its own projects and its own access, and roles decide exactly what clients can see. Tasks run as a list or a board with the statuses, priorities, and fields you define per project, rather than the workflow a vendor chose for you. Time tracking records several sessions per ticket, each billable on its own, with exports that go straight into the invoice. Documentation lives beside the work: notes and documents sit in the project, and a folder in your GitHub or GitLab repository becomes the project's docs automatically. Meetings keep their transcript, an AI summary, and the tasks that follow from what was actually said. When you need an answer, the AI assistant takes one question across tickets, comments, documents, hours, and meetings, and it cites the ticket, page, or conversation every answer came from. It even reads your repository's indexed code structurally, so questions about what is implemented get answered against the code. The assistant stays off until you enable it with your own provider key or a model in your own network. An MCP server and REST API let your own agents list, create, and update tickets, comment, and log time. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Lalabase
Lalabase
Lalabase
Lalabase

Benefits

  • Clients See Their Own Projects
  • One organisation per client with any number of projects below it, client access of their own, and roles deciding what they see, so agencies stop emailing status updates by hand.
  • Every Session Billable Separately
  • Several time sessions per ticket, each one billable on its own, with exports for the invoice, so the hours a client questions are traceable to the exact ticket and session.
  • Answers With Sources Attached
  • The AI assistant answers one question across tickets, docs, time, meetings, and indexed code, citing the ticket, page, or conversation behind every answer instead of asking for trust.
  • AI Only On Your Key
  • The assistant stays off until you switch it on, then runs through OpenAI, Anthropic, Gemini, Mistral, or any OpenAI-compatible endpoint including a model inside your own network.

Features

  • Configurable Tickets And Boards
  • Work tasks as a list or a board with statuses, priorities, and fields you define per project, organised under one organisation per client with role-based client access.
  • Docs From Your Repository
  • Keep notes and documents in the project, and turn a folder in your GitHub or GitLab repository into the project's documentation without maintaining a separate wiki.
  • Meetings That Produce Tasks
  • Store each meeting's transcript beside an AI summary and the tasks derived from it, then release meetings deliberately so unreleased conversations appear in no assistant answer.
  • MCP Server And REST API
  • Connect Claude, Cursor, or your own agent with a personal access token to list, create, and update tickets, comment, log time, search the knowledge base, and read the inbox.
  • Permission-Aware Assistant
  • Project permissions apply inside the chat, the history belongs to the person asking, and the assistant keeps context while you move between a ticket, a meeting, and a note.

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