Developer Builds 'Elephant' Tool to Preserve AI Coding Agent Context Across Sessions

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A developer has created an open-source tool called Elephant to address a common frustration with AI coding assistants: the loss of accumulated context when a session ends or an agent is switched. When tools like Claude Code hit usage limits mid-task, all the understanding built up during the session disappears, forcing users to manually re-explain the problem to a new agent. Elephant solves this by continuously recording prompts, responses, tool calls, file changes, and session objectives into a local append-only journal in real time. It periodically generates a 'recovery capsule' that a new coding agent can read to resume work without requiring the developer to reconstruct the full history. The tool is available on GitHub and is designed to reduce the manual overhead of acting as a human relay between AI systems.

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