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Give AI agents persistent, auditable memory with automatic pruning via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Cortex" yet — see the docs or source repo.
Use Cortex in this MCP environment to store key project decisions, constraints, and open tasks, then recall them in later conversations while ignoring trivial details.
The agent retains important context over time and references relevant information in later tasks.
Show the memories in Cortex related to this requirements discussion and indicate which details were kept as important information.
Returns inspectable memory entries so you can see what the agent retained.
During future collaboration, keep only information useful for task execution and let Cortex automatically forget unimportant chatter and repetitive details.
The memory store stays leaner and long-term context remains focused on important details.
Developers or product managers can use it in long-running conversations so an AI agent retains key decisions, constraints, and task context instead of needing repeated input. It fits workflows that span many turns.
When a team wants visibility into what an agent has remembered, they can use it to inspect and audit retained memory. This makes it easier to verify that long-term memory focuses on important information.
During extended agent usage, it can automatically forget unimportant details to reduce memory bloat. This helps the agent keep high-value information instead of accumulating noise.
Cortex is a tool that provides memory for AI agents through MCP. It emphasizes persistent memory, auditable recall, and automatic forgetting of unimportant details.
Its memory is transparent and self-pruning, meaning retained information is easier to inspect while unimportant details are automatically cleaned up. This helps reduce irrelevant memory buildup over time.
The provided information only says it works via MCP and does not include setup steps or prerequisites. See the source repository for integration details.
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