Developer builds local tool to inspect and preserve AI coding agent memory and context

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A developer has released AgentMemora, a local inspection tool designed to help users understand and manage the context stored by AI coding agents like Claude Code. The tool addresses a common pain point where important decisions, subagent discoveries, and project knowledge become scattered across multiple sessions and difficult to track. AgentMemora organises this information by project, grouping primary sessions, subagent transcripts, durable memory, and instruction files into a single navigable view. It does not replace existing agent memory systems but acts as a read-only inspection and curation layer over locally stored session data. The tool requires no account, API key, or telemetry, and supports exporting a 'Context Capsule' to help developers preserve critical context before starting a new session.

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