Memophant
Agents forget your repo. Memophant remembers.
Memophant launched on June 23, 2026 with 5 votes, #2,466 of 22,647 launches that month and more than 75% of that year's launches.
What it does
Native macOS app for repo-resident AI memory. Memories, wiki, design, code, tasks, sessions, documents, vendors, and templates — every tier lives in your git repo as plain markdown, exposed to every AI editor through a native MCP server, so each session starts already up to speed.
Native macOS app for repo-resident AI memory. Memories, wiki, design, code, tasks, sessions, documents, vendors, and templates - all in git.
Your knowledge graph, wiki, design system, code map, task board, sessions, documents, and credentials — one native app, your repo is the sync. Everything lives in your git repo as plain markdown: self-contained, portable through GitHub, and handed to the next session already up to speed. A fresh agent. A repo it had never seen. Fluent in 30 seconds. A native macOS GUI companion for the Hermes AI agent — full visibility into a Hermes install (sessions, tools, memory, cron, plugins, gateway, settings) without poking at ~/.hermes by hand. ScarfGo — iPhone (iOS 18+) over SSH via Citadel; public TestFlight. Shares the ScarfDesign package; ships in 7 locales. Reads ~/.hermes/ directly (sandbox…from memophant.co
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I replaced vector databases with Git for AI memory (PoC)2025 · github.com · ▲198Hey HN! I built a proof-of-concept for AI memory using Git instead of vector databases. The insight: Git already solved versioned document management. Why are we building complex vector stores when we could just use markdown files with Git's built-in diff/blame/history? How it works: Memories stored as markdown files in a Git repo Each conversation = one commit git diff shows how understanding evolves over time BM25 for search (no embeddings needed) LLMs generate search queries from conversation context Example: Ask "how has my project evolved?" and it uses git diff to show actual…


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