One Workspace. Multiple AI Models.
Share context across Claude, GPT, Gemini, and any AI model.
Create workunits once, execute tasks with the best LLM for each job. Real-time status tracking means every AI model knows what's done, what's in progress, and what's next.
Use Claude Sonnet for planning, GPT-5 for execution, Gemini for analysis - all sharing the same context
The Multi-LLM Context Problem
Every LLM Starts From Zero
Claude forgets what GPT knew. Gemini can't see Claude's analysis. You spend hours re-explaining the same project to different AI models.
Can't Use Best LLM for Each Task
GPT-5 excels at code execution. Claude Sonnet 4.5 plans better. Gemini analyzes data brilliantly. But switching models means losing all context.
No Visibility Across Models
When Claude completes a task, GPT doesn't know. When Gemini finds an issue, Claude can't see it. Your team of AI models can't collaborate.
The Real Cost: Wasted Potential
You could use Claude's planning brilliance, GPT's execution speed, and Gemini's analytical depth - all on the same project. Instead, you're stuck with one model per conversation, losing context every time.
Share Context Across All AI Models
One Workunit, Multiple LLMs
Create a workunit once. Any AI model can access the full context, update task status, and see what other models have done.
Claude Sonnet 4.5 creates the plan and task breakdown
GPT-5 executes specific implementation tasks
Gemini analyzes results and suggests optimizations
All models see real-time task status updates
Real-Time Status Across Models
When Claude marks a task "in progress", GPT sees it immediately. When Gemini completes analysis, the status updates for all models. Your AI team stays synchronized.
Built for Builders Like You
Solo Entrepreneurs
Technical founders wearing multiple hats
Small Teams
2-10 people who need to ship fast
Indie Developers
Consultants and freelancers building products
Frustrated Builders
Leaving complex PM tools behind
Universal Context Layer for Any AI Model
Context-Persistent Workunits
Create a workunit once. Claude, GPT, Gemini, and any AI model can access it through MCP integration - all sharing the same context.
Real-Time Task Status
Every model sees live updates. When Claude marks a task complete, GPT knows immediately. When Gemini starts analysis, the status updates for everyone.
Use Best LLM for Each Task
Planning needs Claude's reasoning? Execution needs GPT's speed? Data analysis needs Gemini? Use the right model for each task without losing context.
Team + Human Collaboration
Your teammates can review plans, check progress, and update context. All AI models and humans work from the same source of truth.
MCP Integration
Connect your existing development tools through Model Context Protocol. GitHub, IDEs, and more work seamlessly together.
Model-Agnostic Architecture
Works with Claude, GPT, Gemini, and any future AI model through MCP. Future-proof your AI workflow as models evolve.
Stop Re-Explaining Context to Every AI Model
Share Context Once, Use Any LLM
Stop re-explaining your project to Claude, then GPT, then Gemini. Create the workunit once.
Real-Time Visibility Across All Models
Every AI model sees what other models are doing. No more duplicate work or conflicting changes.
Use Each Model's Strengths
Let Claude plan, GPT execute, and Gemini analyze - all on the same project with shared context.
Your Team Stays in Sync Too
Humans and AI models collaborate from the same source of truth. Review plans and track progress together.
One Workspace for Claude, GPT, Gemini, and Your Team
"I use Claude Sonnet 4.5 to create my project plans and break down tasks. Then GPT-5 executes specific implementations. Gemini analyzes the results and suggests optimizations. Before Workunit, I had to re-explain my entire project to each model. Now they all share the same context and can see each other's progress in real-time."
Built for Small Teams, Not Enterprises
Free
$0
- 1 workunit, 5 users, MCP integration
Pro
$9/user OR $99 flat /month (up to 15 users)
- Unlimited workunits, priority support
Unlimited
$199 /month
- Unlimited users + everything in Pro
Transparent pricing. No hidden costs. No surveillance features. Your data stays secure.
Focus on value, not vendor lock-in
Built by Developers, for Developers
GitHub Integration
Seamless connection to your repositories through MCP. Context flows between code and planning.
MCP Protocol
Model Context Protocol integration means your tools work together, not in isolation.
Developer-First Design
Built with Go, gRPC, and PostgreSQL. Clean APIs, type safety, and performance you can trust.
Ready to Use Multiple AI Models on One Project?
Join teams who stopped re-explaining their projects to every AI model and started using the best LLM for each task.