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EGC
Persistent cross-session memory for AI coding tools
Every AI coding session starts from zero. Your assistant forgets your stack, decisions, and context. EGC fixes this with two local MCP servers: egc-memory (get_state/update_state -- saves plain Markdown, local SQLite, no cloud) and egc-guardian (command validation, blocks unsafe paths). One install: npm install -g @egchq/egc && egc install Supports Claude Code, Cursor, Codex, Gemini CLI, Kiro and more. ~200 tokens/session vs ~1,500 rebuilding.
Top comment
Hi PH! I built EGC after getting frustrated with AI coding tools that forget everything between sessions. The insight: persistent memory doesn't need to be complex. A plain Markdown file, a local SQLite DB, and two MCP servers solve the problem completely. Would love feedback from developers who use Claude Code, Cursor, or any other AI coding assistant. Does the problem resonate? What would you add to the state file? GitHub: https://github.com/Fmarzochi/EGC
About EGC on Product Hunt
“Persistent cross-session memory for AI coding tools”
EGC was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #160 on the daily leaderboard. Every AI coding session starts from zero. Your assistant forgets your stack, decisions, and context. EGC fixes this with two local MCP servers: egc-memory (get_state/update_state -- saves plain Markdown, local SQLite, no cloud) and egc-guardian (command validation, blocks unsafe paths). One install: npm install -g @egchq/egc && egc install Supports Claude Code, Cursor, Codex, Gemini CLI, Kiro and more. ~200 tokens/session vs ~1,500 rebuilding.
On the analytics side, EGC competes within GitHub and SDK — topics that collectively have 42.1k followers on Product Hunt. The dashboard above tracks how EGC performed against the three products that launched closest to it on the same day.
Who hunted EGC?
EGC was hunted by Felipe Marzochi. A “hunter” on Product Hunt is the community member who submits a product to the platform — 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 EGC including community comment highlights and product details, visit the product overview.