tale.dev

# Tale

> Tale is the open-source workspace for teams and AI agents. Coordinate agents on project boards, assign tasks, and review the results together.

## Pages

Tale is the open-source workspace for teams and AI agents. Coordinate people and agents on project boards: assign tasks, follow progress, and review the results together. Give agents project instructions, files, and tools; use automations for repeatable workflows with configured approvals. Project agents can use runtimes including Claude Code and Codex; supported capabilities vary by runtime.

Publisher: Ruler GmbH, Spiez, Switzerland. License: MIT. Community and Enterprise include the same product features; Enterprise adds professional operation and support. Current plans and terms: https://tale.dev/pricing.

Self-host with Docker on your infrastructure or use managed Cloud. Choose local or cloud model providers. Data flows depend on the providers, connectors, and external tools you configure.

Documentation: https://docs.tale.dev/llms.txt — source: https://github.com/tale-project/tale

- [Tale: Project Workspace for Teams and AI Agents](https://tale.dev/index.md): Plan projects, delegate tasks to AI agents, and review results with your team. An open-source workspace with agent sandboxes, shared context, and workflows.
- [Who is behind Tale? — About Ruler GmbH](https://tale.dev/about.md): Tale is built by Ruler GmbH in Spiez, Switzerland. We build an MIT-licensed project workspace where teams coordinate AI agents and review their work.
- [How much does Tale cost? — Community & Enterprise](https://tale.dev/pricing.md): Tale Enterprise is CHF 12 (EUR 14) per user/month, two months free on yearly billing. Community is free to self-host under MIT.
- [What does Tale AI hardware cost?](https://tale.dev/hardware-pricing.md): Silent inference hardware from single nodes to racks — rent, lease, or buy. Deploy on-site with remote maintenance, or host in secure data centers.
- [Contact the Tale team — sales, support, demos](https://tale.dev/contact.md): Talk to the Tale team about coordinating teammates and AI agents: project workflows, deployment, pricing, or a guided demo.
- [Request a Tale demo — a guided walkthrough](https://tale.dev/request-demo.md): Bring a task your team needs to solve. See how Tale coordinates teammates and AI agents through project boards, sandbox work, and review.
- [AI Agent Coordination and Project Management | Tale](https://tale.dev/platform.md): Bring people, AI agents, tasks, and project files into one workspace. See how Tale connects task boards, agent sandboxes, knowledge, and repeatable workflows.
- [AI Agents for Project Tasks | Tale](https://tale.dev/platform/agents.md): Give project agents instructions, tools, and a runtime such as Claude Code or Codex. Assign tasks, inspect sandbox files, and review what the agents deliver.
- [AI chat with sources and task handoff | Tale](https://tale.dev/platform/chat.md): Ask questions, inspect sources, compare two models in Arena, and turn a conversation into a project task for an AI agent in Tale.
- [Shared Task Boards for Teams and AI Agents | Tale](https://tale.dev/platform/projects.md): Plan work with teammates and AI agents on a shared project board. Keep tasks, files, conversations, and reviews together from the first request to the result.
- [Repeatable AI Agent Workflows | Tale](https://tale.dev/platform/automations.md): Turn recurring work into workflows with agent steps, conditions, connectors, and configured approvals. Start runs manually or with schedules and webhooks.
- [Shared Knowledge for AI Project Work | Tale](https://tale.dev/platform/knowledge.md): Give AI work the context it needs. Index documents, websites, and knowledge entries, retrieve accessible sources, and check citations in the same workspace.
- [AI governance, approvals and usage controls | Tale](https://tale.dev/platform/governance.md): Configure connector approvals, review recorded actions, set model usage budgets, and apply chat guardrails for your team and AI agents in Tale.
- [What's new in Tale? — Changelog](https://tale.dev/changelog.md): Release notes for every Tale version, newest first — the features, fixes, and breaking changes in each one, published from GitHub Releases.
- [Compare AI agent workspaces and alternatives | Tale](https://tale.dev/compare.md): Compare Tale with project workspaces, AI assistants, workflow platforms, and agent frameworks. Find the right fit for how your team delegates and reviews work.
- [Tale vs Agent Zero — computer work and team projects](https://tale.dev/compare/tale-vs-agent-zero.md): Compare Tale and Agent Zero for delegated computer work. Evaluate agent flexibility, project context and how teammates assign and review results.
- [Tale vs AnythingLLM — personal AI and team projects](https://tale.dev/compare/tale-vs-anythingllm.md): Compare Tale and AnythingLLM for document work and agents. Evaluate local assistance, multi-user needs, project handoffs, and reviewed deliverables.
- [Tale vs Autensa — project work and product automation](https://tale.dev/compare/tale-vs-autensa.md): Compare Tale and Autensa for delegated agent work. Evaluate a product improvement pipeline against a shared project with varied team deliverables.
- [Tale vs AutoGPT — project tasks or repeatable agents](https://tale.dev/compare/tale-vs-autogpt.md): Compare Tale and AutoGPT for delegated company work. Evaluate building reusable agents against coordinating project tasks and reviewing deliverables.
- [Tale vs Bolt.new — from an app idea to team delivery](https://tale.dev/compare/tale-vs-bolt.md): Compare Tale and Bolt.new for a team launching an app. Evaluate built-in hosting, shared development, agent delegation, and the work after the prototype.
- [Tale vs ChatGPT: compare shared work for teams](https://tale.dev/compare/tale-vs-chatgpt.md): Compare Tale with ChatGPT Business and Enterprise. Evaluate project ownership, agent delegation, review, provider choice, and supported subscriptions.
- [Tale vs Claude Enterprise: coordinate shared work](https://tale.dev/compare/tale-vs-claude.md): Compare Tale and Claude Enterprise for team projects. Evaluate delegation, review, connected context, operating choices, and compatible subscriptions.
- [Tale vs Claw Empire — coordinate agents with your team](https://tale.dev/compare/tale-vs-claw-empire.md): Compare Tale and Claw Empire for agent coordination. Evaluate a virtual company interface and a shared project board using a real team handoff.
- [Tale vs ClawTrol — agent tasks and recurring work](https://tale.dev/compare/tale-vs-clawtrol.md): Compare Tale and ClawTrol for agent task boards and recurring execution. Test how a repeated job returns evidence and reaches a review decision.
- [Tale vs Conductor — shared agent work beyond code](https://tale.dev/compare/tale-vs-conductor.md): Compare Tale and Conductor for collaborative agent work. Evaluate repository tasks, shared review and projects that include non-code deliverables.
- [Tale vs Copilot Studio: projects or custom agents?](https://tale.dev/compare/tale-vs-copilot-studio.md): Compare Tale and Microsoft Copilot Studio. Evaluate shared project work against building and publishing agents within your business environment.
- [Tale vs CrewAI: adopt a workspace or build agents?](https://tale.dev/compare/tale-vs-crewai.md): Compare Tale and CrewAI for collaborative agent work. Evaluate a ready project workspace against an agent framework and enterprise build platform.
- [Tale vs Cursor — coding agents and project teamwork](https://tale.dev/compare/tale-vs-cursor.md): Compare Cursor’s editor, team workflows and cloud agents with Tale’s shared project workspace, including the supported Cursor runtime.
- [Tale vs Devin — engineering tickets and shared agent work](https://tale.dev/compare/tale-vs-devin.md): Compare Devin’s software engineering and ticket integrations with Tale’s project coordination for teams handling varied agent tasks.
- [Tale vs Dify — build AI applications or organize work](https://tale.dev/compare/tale-vs-dify.md): Compare Tale and Dify by the outcome you need: a reusable AI application or a shared project where teammates delegate tasks and review agent results.
- [Tale vs Dust — coordinate people and AI agents](https://tale.dev/compare/tale-vs-dust.md): Compare Tale and Dust for shared AI work. Evaluate project task ownership, company context, agent runtimes, and how your team reviews results.
- [Tale vs Flowise — evaluate work after the sunset](https://tale.dev/compare/tale-vs-flowise.md): Compare Tale with existing Flowise deployments after its announced end of life. Separate workflow migration from adopting a shared agent workspace.
- [Tale vs Glean — enterprise AI or a project workspace](https://tale.dev/compare/tale-vs-glean.md): Compare Tale and Glean by rollout scope: enterprise context, collaborative agent work, project ownership, and the team process around results.
- [Tale vs Google Workspace with Gemini for team projects](https://tale.dev/compare/tale-vs-google-workspace.md): Compare Tale and Google Workspace with Gemini. Evaluate AI inside everyday productivity apps against a shared workspace for people and agent tasks.
- [Tale vs Gumloop — coordinating shared agent work](https://tale.dev/compare/tale-vs-gumloop.md): Compare Tale and Gumloop for team agent operations. Test shared agents, background delegation, project ownership, runtime choice, and delivery review.
- [Tale vs Haystack: project workspace or AI framework?](https://tale.dev/compare/tale-vs-haystack.md): Compare Tale and Haystack for document-heavy work. Decide between a shared project workspace and building custom retrieval and agent pipelines.
- [Tale vs Langflow: team projects or visual AI building?](https://tale.dev/compare/tale-vs-langflow.md): Compare Tale and Langflow for agent work. Evaluate shared project execution against visual flow building, custom components, and application delivery.
- [Tale vs LangGraph: workspace or orchestration code?](https://tale.dev/compare/tale-vs-langgraph.md): Compare Tale and LangGraph for agent coordination. Decide when to adopt a team project workspace and when to build custom orchestration logic.
- [Tale vs LibreChat — conversations and assigned work](https://tale.dev/compare/tale-vs-librechat.md): Compare Tale and LibreChat for AI collaboration. Explore agents, model choice, artifacts, task ownership, and the handoff from conversation to work.
- [Tale vs Lindy — where your AI teammates do the work](https://tale.dev/compare/tale-vs-lindy.md): Compare Tale and Lindy for shared AI work. Evaluate Slack-based collaboration, project task ownership, handoffs, and review of team deliverables.
- [Tale vs LlamaIndex: project work or document systems?](https://tale.dev/compare/tale-vs-llamaindex.md): Compare Tale and LlamaIndex for document projects. Evaluate team coordination and review alongside the need to build document intelligence systems.
- [Tale vs Lovable — app building and project coordination](https://tale.dev/compare/tale-vs-lovable.md): Compare Tale and Lovable for teams building internal tools. Evaluate shared app development, publishing, task delegation, and work beyond the app.
- [Tale vs Make: project work or app automation?](https://tale.dev/compare/tale-vs-make.md): Compare Tale and Make for team projects and app automation. Evaluate task ownership, agent delegation, recurring processes, and review.
- [Tale vs Manus: delegated output or shared projects?](https://tale.dev/compare/tale-vs-manus.md): Compare Tale and Manus for delegated work. Evaluate artifact creation, project ownership, team handoffs, and review with a concrete campaign pilot.
- [Tale vs Mastra: team workspace or TypeScript agents?](https://tale.dev/compare/tale-vs-mastra.md): Compare Tale and Mastra for agent projects. Choose between an existing team workspace and building an AI application in your TypeScript stack.
- [Tale vs Microsoft Agent Framework: build or adopt?](https://tale.dev/compare/tale-vs-microsoft-agent-framework.md): Compare Tale and Microsoft Agent Framework. Decide between a shared project workspace and building the agent application your team will operate.
- [Tale vs Mission Control — team work and operations](https://tale.dev/compare/tale-vs-mission-control.md): Compare Tale and Builderz Labs Mission Control for agent tasks, review and operations. Evaluate who uses the workspace and who operates it.
- [Tale vs Multica — coordinate human and agent work](https://tale.dev/compare/tale-vs-multica.md): Compare Tale and Multica for shared task boards, agent execution and review. Evaluate a mixed team project and the operating model that fits.
- [Tale vs n8n — workflow automation and team projects](https://tale.dev/compare/tale-vs-n8n.md): Compare Tale and n8n for AI work. Decide whether a repeatable integration flow or shared project coordination should be the center of your process.
- [Tale vs Onyx — from company context to project work](https://tale.dev/compare/tale-vs-onyx.md): Compare Tale and Onyx for company knowledge and agent work. Test retrieval, task handoffs, persistent files, and team review with a real brief.
- [Tale vs Open WebUI — choose your team’s AI workspace](https://tale.dev/compare/tale-vs-open-webui.md): Compare Tale and Open WebUI for team AI adoption. Test model access, extensibility, assigned project work, and the path from a prompt to delivery.
- [Tale vs OpenClaw — assistant runtime and team projects](https://tale.dev/compare/tale-vs-openclaw.md): Compare Tale and OpenClaw at the right layer: an assistant runtime and a shared project workspace. See when to use OpenClaw within Tale.
- [Tale vs OpenHands — project work and coding agents](https://tale.dev/compare/tale-vs-openhands.md): Compare Tale and OpenHands Agent Canvas for shared agent work. Evaluate software tasks, subscription reuse and review across a broader team project.
- [Tale vs Paperclip — projects and agent teams](https://tale.dev/compare/tale-vs-paperclip.md): Compare Tale and Paperclip for organizing agent work. Choose between project-led teamwork and agent organization around business goals.
- [Tale vs Relevance AI — organizing an agent workforce](https://tale.dev/compare/tale-vs-relevance-ai.md): Compare Tale and Relevance AI for agent workforces. Evaluate process design, project ownership, team intervention, and how you operate recurring work.
- [Tale vs Replit — build apps and coordinate agent work](https://tale.dev/compare/tale-vs-replit.md): Compare Replit’s collaborative app building and publishing with Tale’s shared projects for software, research, documents and agent work.
- [Tale vs Sim — team projects and agent workflows](https://tale.dev/compare/tale-vs-sim.md): Compare Tale and Sim for shared AI work. Evaluate a project board for people and agents alongside a workspace for building and governing workflows.
- [Tale vs StackAI: agent builder or team workspace?](https://tale.dev/compare/tale-vs-stackai.md): Compare Tale and StackAI for internal AI work. Decide between deploying custom agents and coordinating team projects, tasks, and reviews.
- [Tale vs Symphony — project workspace or orchestration](https://tale.dev/compare/tale-vs-symphony.md): Compare Tale with OpenAI Symphony for agent task coordination. Decide whether to adopt a shared workspace or build on an orchestration specification.
- [Tale vs Taskade — shared projects and agent teams](https://tale.dev/compare/tale-vs-taskade.md): Compare Tale and Taskade for projects with AI teammates. Evaluate task ownership, multi-agent handoffs, runtime credentials, and how people review work.
- [Tale vs v0 — app iteration and shared agent work](https://tale.dev/compare/tale-vs-v0.md): Compare Tale and v0 for teams improving a web app. Assess design-system reuse, Vercel publishing, shared projects, and coordination across agent tasks.
- [Tale vs Vellum: team projects or a personal assistant?](https://tale.dev/compare/tale-vs-vellum.md): Compare Tale and Vellum using their current product scope. Evaluate a shared project workspace against a personal assistant for recurring work.
- [Tale vs Vibe Kanban — task boards and agent review](https://tale.dev/compare/tale-vs-vibe-kanban.md): Compare Tale and Vibe Kanban for planning agent tasks and reviewing results, including project scope and Vibe Kanban’s maintenance transition.
- [Tale vs Zapier Agents — app actions and project work](https://tale.dev/compare/tale-vs-zapier-agents.md): Compare Tale and Zapier Agents for delegated work. Test connected app actions, business context, project deliverables, and your team’s review process.
- [AI document work with team review | Tale](https://tale.dev/use-cases/document-work.md): Coordinate reports, presentations, spreadsheets, and document revisions with AI agents. Keep the brief, files, feedback, and review together in Tale.
- [Put AI agents to work with your team | Tale](https://tale.dev/use-cases.md): Explore how teams use Tale to coordinate AI agents for marketing, software delivery, research, documents, and operations through shared project tasks.
- [AI agents for marketing teams | Tale](https://tale.dev/use-cases/marketing-campaigns.md): Coordinate campaign research, content drafts, and reviews with your team and AI agents. Turn a marketing brief into shared tasks and deliverables in Tale.
- [Coordinate operations with AI agents | Tale](https://tale.dev/use-cases/operations.md): Organize operational requests, investigations, and recurring work with people and AI agents. Track ownership, deliverables, and review in shared projects.
- [Collaborative AI research for teams | Tale](https://tale.dev/use-cases/research.md): Organize research questions, sources, agent tasks, and review in one Tale project. Turn parallel investigations into findings your team can examine.
- [AI software delivery for collaborative teams | Tale](https://tale.dev/use-cases/software-development.md): Turn software ideas into tasks for people and AI agents. Coordinate implementation, tests, review, and documentation in a shared Tale project workspace.

## Legal

- [Terms of service](https://tale.dev/legal/terms-of-service.md): Terms governing the use of the Tale website operated by Ruler GmbH.
- [Privacy policy](https://tale.dev/legal/privacy-policy.md): How Ruler GmbH collects, uses, stores, and protects your personal data.
- [Data processing agreement](https://tale.dev/legal/data-processing-agreement.md): How Ruler GmbH processes personal data on behalf of customers using the Tale platform.
- [Technical and organizational measures](https://tale.dev/legal/technical-organizational-measures.md): The technical and organizational measures Ruler GmbH applies to protect Personal Data processed on behalf of customers using the Tale platform.
- [Personalization — Privacy notice](https://tale.dev/legal/personalization.md): How Tale's personalization layer (custom instructions) handles your data, what we enforce, and the inherent caveats.

## Optional

- [Documentation](https://docs.tale.dev/llms.txt)
- [GitHub](https://github.com/tale-project/tale)
- [Current releases (JSON; includes source and fetch time)](https://tale.dev/changelog.json)