Zikra — AI Persistent Memory

What problem does it solve?

Zikra solves the problem of losing important project context between AI sessions and across machines by providing a governed, cross-agent persistent memory store.

Core Features & Use Cases

• Search and retrieve relevant past decisions, errors, prompts, and context at the start of a session.
• Save structured memories immediately after key decisions so the right context stays available for later runs.
• Log failures by recording errors with supporting context so they can be tracked and found again.
• Use typed memory categories such as decision, conversation, error, schema, and prompt to keep retrieval precise.

Quick Start

Tell your AI agent to store a new decision memory for project yourproject with title and content, then immediately search for related context to continue working.