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Elephant
Persistent memory + auto changelogs for Claude Code
Claude Code forgets everything between sessions. You burn tokens re-explaining your stack every time. Elephant fixes that: π§ Persistent memory β auto-loaded at session start. π₯ Team memory β ELEPHANT.md lives in your repo, committed, author-tagged. π Cross-repo β switch projects, keep the thread. π Auto changelogs β /elephant changelog reads git log, suggests semver bump. π Auto READMEs β badges and commands stay in sync. One-line install. MIT. Just a file, no cloud.
Hey PH π
I built Elephant because I got tired of starting every Claude Code session with the same 200-token preamble: "we use Bun not Node, auth moved to packages/core, don't touch the stripe webhook it's mid-migration..."
Elephant is three files doing boring work well:
β’ ELEPHANT.md β repo-local, committed, team-shared memory. Every entry tagged with author.
β’ ~/.claude/elephant/memory.md β personal cross-repo memory.
β’ CHANGELOG.md β auto-generated from git log with semver-aware bumps.
A SessionStart hook loads memory automatically. A Stop hook nudges Claude to save important decisions when topics shift. Caveman-compressed entries keep a week of history at ~150 tokens.
Bonus: /elephant takeover reads your last 60 commits and seeds memory on a fresh clone β new teammates get briefed before their first session.
MIT. No cloud. Works today on Claude Code.
Would love feedback! What's the most painful context you lose between AI coding sessions?
About Elephant on Product Hunt
βPersistent memory + auto changelogs for Claude Codeβ
Elephant was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #127 on the daily leaderboard. Claude Code forgets everything between sessions. You burn tokens re-explaining your stack every time. Elephant fixes that: π§ Persistent memory β auto-loaded at session start. π₯ Team memory β ELEPHANT.md lives in your repo, committed, author-tagged. π Cross-repo β switch projects, keep the thread. π Auto changelogs β /elephant changelog reads git log, suggests semver bump. π Auto READMEs β badges and commands stay in sync. One-line install. MIT. Just a file, no cloud.
On the analytics side, Elephant competes within Productivity, Developer Tools, Artificial Intelligence and GitHub β topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Elephant performed against the three products that launched closest to it on the same day.
Who hunted Elephant?
Elephant was hunted by Fatih Unver. A βhunterβ on Product Hunt is the community member who submits a product to the platform β uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Elephant including community comment highlights and product details, visit the product overview.
Fatih Unver