Provides persistent, shared memory and project management for AI coding agents across sessions and machines.
Sponsored
AI agents often suffer from session amnesia and context fragmentation, meaning decisions and insights are lost between sessions and not shared across different tools or team members. Zikra addresses this by serving as an MCP-native memory server, storing every decision, requirement, error, and session summary. This persistent, searchable knowledge base is shared across all connected AI agents and machines, enabling seamless collaboration and ensuring that critical context is always available, preventing information silos and agent lock-in. It's built for teams and supports a full stack of PostgreSQL, pgvector, and n8n for robust scalability and automation.
Key Features
01MCP-native memory server for AI agents
02Persistent, searchable memory across sessions and machines
03Integrated web UI for memory browsing and project management
