Engram: Persistent Memory System for AI Coding Agents

RepositoryGentleman-Programming/engramTool

Engram is an open-source, agent-agnostic memory engine written in Go that provides AI coding assistants with persistent memory across sessions.

Key points

  1. Addresses the problem of AI coding agents forgetting context once a session ends.
  2. Packaged as a standalone Go binary with zero external dependencies.
  3. Built on SQLite with FTS5 for data storage and full-text search.
  4. Provides multiple interfaces: an MCP server, HTTP API, CLI, and a terminal user interface (TUI).
  5. Supports both local and cloud/team setups under the MIT licence.

Why it matters

AI coding assistants typically lose all accumulated project insights when a chat or session concludes. An agent-agnostic persistence layer using standard protocols like MCP and HTTP allows software engineers to maintain long-term memory across sessions without vendor lock-in.

Analysis

Engram targets developers and teams seeking to enhance their AI coding workflows with shared, persistent context. Technically, its Go architecture combining SQLite and FTS5 delivers a lightweight, zero-dependency footprint while offering extensive access points via MCP, HTTP, CLI, and TUI. With over 6,300 GitHub stars, extensive documentation spanning architecture, plugins, and team setups, and recent maintenance in September 2026, the project shows strong maturity.

Mentioned links

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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