Agentic Context Engine
ActiveDescription
Make your agents learn from experience. A context engine that helps agents continuously improve through structured memory management and experience replay.
Make your agents learn from experience. A context engine that helps agents continuously improve through structured memory management and experience replay.
Hindsight is an agent memory system that learns autonomously, supporting memory retention, recall, and reflection to give AI agents persistent experiential memory.
Implementing cognitive architecture and psychological memory concepts into Agentic LLM Systems. Explores short-term, long-term, and working memory engineering for AI agents.
A MemAgent framework that can extrapolate to 3.5M context tokens, along with a training framework for RL training of any agent workflow.
Local persistent memory store for LLM applications including Claude Desktop, GitHub Copilot, Codex, and more. Provides durable context memory capabilities for AI agents.