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AI · September 7, 2026

Engrim – A universal, local-first SQLite memory engine for AI CLIs

The Universal Cross-Model Episodic Memory Standard. Local-first, project-scoped SQLite memory engine for Google Antigravity, Claude Code, Cursor, and Windsurf. Zero cloud lock-in. - timgordontg/engrim

Engrim – A universal, local-first SQLite memory engine for AI CLIs launched on September 7, 2026 with 93 votes, #313 of 8,094 launches that month and more than 95% of that year's launches.

Visit github.com ↗Alternativestop 4% of September 2026

In plain words

Engrim is a local-first SQLite memory engine for AI coding assistants that stores project context, architectural decisions, and constraints without cloud dependency. It works across Google Antigravity, Claude Code, Cursor, and Windsurf, enabling developers to switch between models while preserving project state. Built on SQLite and stored locally at the project level, Engrim eliminates repeated context loss and reduces token waste across AI interactions.

written from the facts on this page · September 2026

From the sources

The Universal Cross-Model & Cross-Agent Episodic Memory Store. A local-first, project-scoped SQLite memory engine that allows developers to freely switch between models and environments ( Google Antigravity , Claude Code , Cursor MCP , Windsurf ) on the SAME project without losing architectural decisions, user constraints, or project state. "Why pay for 200,000 tokens of forgotten noise on every turn? The models are disposable utilities; your project's decisions are not." As context windows scale to 1M+ tokens, developers face attention dilution : reasoning degrades, cost multiplies with every conversational turn, and clearing context causes total amnesia. Tested across 105 continuous…from github.com

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