# Engrim

> The Universal Cross-Model Episodic Memory Standard.

- **Website:** https://github.com/timgordontg/engrim
- **Pricing:** unknown
- **Categories:** Developer Tools, AI Agents
- **Tags:** developer-tools, ai-agents, infrastructure
- **Platforms:** Windows, CLI
- **Last verified:** 2026-09-10
- **Canonical page:** https://linkrena.com/tools/engrim

## About

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.

Switzerland of AI Memory : Decouples project intelligence from any single AI vendor or proprietary cloud silo. Switch from Gemini 3.8 in Antigravity to Claude 3.7 Sonnet in Claude Code to GPT-4o in Cursor mid-project — your agents pick up right where the others left off.

Save Button for Autonomous Coding : Externalize decisions, constraints, and state as you work. Clear your agent session freely ( /clear ) and watch context reload intact.

Smart, Hot Context Loading : Combines SQLite FTS5 (bm25 keyword search) with static vector embeddings ( model2vec ) in a zero-latency hybrid reciprocal-rank fusion engine.

Tested across 105 continuous sessions on a 50,000-line algorithmic trading system. Zero regressions across 186 unit tests, zero context amnesia across model switches.

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