CogniLayer AI Memory

Example Use Cases

• 1

  Persistent memory across sessions to avoid re-reading and re-learning codebases.

• 2

  Advanced code intelligence like call graphs and impact analysis to understand code dependencies.

• 3

  Efficient context management and token savings during long or complex coding sessions.

Description

CogniLayer enables AI agents like Claude Code and Codex CLI to retain knowledge across sessions by storing facts, decisions, and code context in a persistent database. It offers advanced code intelligence features such as AST-based call graphs and impact analysis, semantic search to save tokens, and subagent context compression to optimize large research tasks. This results in faster, more accurate AI assistance with zero context loss, crash recovery, and cross-project knowledge sharing.