“What if an agent could observe, remember, and learn from every interaction it has, just like a human learning skills from its own past?”Our mission is to give developers the missing foundation for self-evolving agents — a context data platform that stores, observes, and learns from the agent’s interactions.
Key Benefits
Persistent Context
Short-term memoryStore conversations and artifacts with text, images, and files across sessions
Task Observability
Mid-term memoryMonitor what your agent plans vs. what it actually executes
Automatic Learning
Long-term memoryAgents learn skills from completed tasks without manual training
Dashboard
All-in-one view of context dataView your agent’s tasks, conversations, and learned skills in one place
How It Works
Dataflow of Acontext
- Store Context: Your agent’s conversations are automatically saved with full context
- Extract Tasks: Acontext identifies when your agent makes plans and breaks down work
- Learn Skills: Successfully completed tasks become reusable knowledge
- Apply Learning: Future agents can search and use these learned skills
Think of Acontext as giving your AI agent a library that remembers and learns, just like humans do.