Overview / Description
Engram is an AI agent-memory tool that synchronizes knowledge across AI coding agents so they share facts instantly and catch logic conflicts before they ship. It describes itself as "Git for AI memory" and targets teams and developers running AI agents across multiple IDEs. Users create a workspace in seconds and connect agents automatically, then use a terminal command, engram, to search memory, stream live facts, and chat with the workspace. A conflict-detection feature flags logic conflicts before they reach deployment, and privacy controls include an anonymous mode and granular visibility settings. Engram is MCP-compatible and works with Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, JetBrains, and what the site lists as 12+ additional IDEs. It is open-source under the Apache 2.0 license and installs via a curl script on macOS and Linux or through PowerShell or CMD on Windows. Data is encrypted in transit and at rest with full workspace isolation, and the company states it does not read, analyze, train on, or redistribute user data. Pricing is not disclosed on the page; users start by creating an account.
Used For
Developer teams use Engram to share a common memory across AI coding agents and IDEs and to catch conflicting logic before deployment.
Pricing
Pros & Cons
Pros
- Syncs memory across agents so they share facts instantly ("Git for AI memory")
- Flags logic conflicts before they reach deployment
- MCP-compatible with Claude Code, Cursor, VS Code, Windsurf, JetBrains and 12+ IDEs
- Open-source under Apache 2.0; installs via curl, PowerShell, or CMD
- Encrypted in transit and at rest with workspace isolation; vendor states it does not train on your data
Cons
- No pricing disclosed on the site
- Requires account creation and command-line setup
- Aimed at developer/agent workflows, not general users
- Value depends on running agents across multiple supported IDEs
Questions & Answers
Alternatives
Mem0, Letta (MemGPT), Zep, Cognee, Pieces for Developers