The Limits of AI
AI constantly forgets — even with giant context windows. Why should powerful intelligence require so much spoon-feeding?
Context Limits
LLMs have hard context limits. Even the best models forget what happened a few minutes ago.
Token Constraints
Bigger prompts = higher costs, lower speed. Token budgets constrain intelligent workflows.
Manual Labor
Manually pasting prompts into two different chat programs. Spoon-feeding the AI. Repetitive, clerical, fragile, mindless.
No Shared Workspace
Without a shared workspace, collaboration from human to AI and AI-to-AI is limited.
No More Amnesia
Your context and work are remembered and reusable. True collaboration with teammates and AI in real-time.
Memory That Persists
Prompt once, use many times
Teach those pesky LLMs to share memories
Forget when you are ready to forget.
Take control of your memories
Real Collaboration
Invite others to your chat thread
Share chat threads and chat history with teams
Compare responses from different AI agents
Smarter Workflows
Chain from one LLM to another
Use low cost LLM for low cost prompts
Define reusable prompts for consistency and reliability
The First Collaborative AI Solution
Built-in observability, multi-agent workflows, and true collaboration. Work smarter with AI that remembers and teammates who can contribute.
Observability
Complete transparency with history logs, prompts and results saved, and metrics. Track inputs, outputs, token usage, latency, and model versions.
Multi-Agent Workflows
Workflows with multiple specialized AI agents, agent-to-agent communication, and broadcast messages across agents.
AI-to-AI Collaboration
Co-edit prompts or documents, AI joins the conversation, invite teammates to chat history, share agents and memories.
Memory & Persistence
Your context and work are remembered and reusable. Share memories with more than one AI model. Take control of memory with asynchronous workflows.
Our Vision
LLMs are powerful, but hard to manage. Everyone prompts, few can optimize.
We're building the bridge between human and AI collaboration with developer-grade tools for all users.
The next wave of productivity tools will be LLM-native, with memory, traceability, cost management, and seamless teamwork built in.