Tale
Open-source project workspace for teams and AI agents with persistent sandboxes.
Why consider Tale?
Tale is an open-source collaborative workspace for teams and AI agents, featuring shared task boards, persistent agent execution sandboxes, and unified context.
Learn Tale by building
Practical setup notes, real use cases, and copy-ready examples in one focused guide.
In this guide4 sections
Overview of Tale
Tale is an open-source project workspace designed for teams to coordinate work between humans and AI agents. It integrates project boards, task tracking, persistent agent sandboxes, and shared context into a single self-hostable web interface.
Teams can create tasks with context, assignees, and acceptance criteria, delegate tasks to configured AI agents operating inside isolated sandboxes, and review reports and deliverables together.
Key Capabilities
- Interactive Project Boards: Organize work across Kanban boards (To Do, In Progress, In Review, Done) with support for both human team members and AI agent assignees.
- Persistent Agent Sandboxes: Run agents with isolated tool access, allowing them to manipulate files, run commands, and generate deliverables safely in dedicated environments.
- Model and Provider Agnostic: Connect commercial cloud providers (OpenAI, Anthropic, Gemini) or local models without markup or vendor lock-in.
- Shared Knowledge & Attachments: Task discussions, file attachments, and agent execution logs stay permanently linked to the project.
Self-Hosting with Docker & CLI
Tale can be deployed locally or on your own servers using the official CLI:
# 1. Install the Tale CLIcurl -fsSL https://raw.githubusercontent.com/tale-project/tale/main/scripts/install-cli.sh | bash# 2. Initialize a new workspacetale init my-workspacecd my-workspace# 3. Start local services and web UItale devAfter starting the stack, open your browser and navigate to http://localhost:3000 to complete setup.
Official Resources
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