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Gentleman-Programming
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Gentleman-Programming/engram

Persistent memory system for AI coding agents. Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI.

★7KSTARS
⑂720FORKS
!85ISSUES
🏆#1,271GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Momentum

+175

STARS · LAST 30 DAYS

6

PER DAY

#184

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+42+175+540
Per day666
Forks gained+4+14+36

engram gained 175 stars in the last 30 days, about 6 a day, and now has 7K. It is about 1 year old and has averaged roughly 7K stars a year. It ranks #184 among Go repositories and #1,271 across all languages on GitHubRepo.

Trending Record

engram has maintained a continuous presence across global trending indexes, peaking at #2931. Below is the 30-day activity profile:

💡 Overview

engram is an open-source project written in Go: Persistent memory system for AI coding agents. Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Go. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Go for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ go install github.com/Gentleman-Programming/engram@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

engram coordinates its core functionality through a modular Go pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed engram into Go backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install engram using your package manager: `go install github.com/Gentleman-Programming/engram@latest`

2

Initialize your project workspace or configuration file for engram.

3

Import engram into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `engram --help` to verify successful setup.

👍 Strengths

Active community backing with 6,988 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Go for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Go and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Gentleman-Programming/engram is currently ranked #1,271 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,266 facebook/pyrefly Rust ★ 7K Compare ↗
#1,267 bleachbit/bleachbit Python ★ 7K Compare ↗
#1,267 paper-trail-gem/paper_trail Ruby ★ 7K Compare ↗
#1,269 facebook/sapling Rust ★ 7K Compare ↗
#1,270 massCodeIO/massCode TypeScript ★ 7K Compare ↗
#1,271 Gentleman-Programming/engram This Project Go ★ 7K
#1,272 SuanmoSuanyangTechnology/MemoryBear Python ★ 7K Compare ↗
#1,273 nuxt/ui TypeScript ★ 7K Compare ↗
#1,274 rust-lang/rustfmt Rust ★ 7K Compare ↗
#1,275 apache/couchdb Erlang ★ 7K Compare ↗
#1,276 evidence-dev/evidence TypeScript ★ 7K Compare ↗

Frequently Asked Questions

What does engram do? +

Persistent memory system for AI coding agents. Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI.

What language is engram written in? +

The primary language is Go. Topics include: software.

Is engram actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 85 open issues being tracked.

How many stars does engram have? +

engram has 6,988 stars and 720 forks on GitHub.

How does engram rank among GitHub repositories? +

With 6,988 stars, Gentleman-Programming/engram is ranked #1,271 globally across all repositories tracked on GitHubRepo and #184 among Go projects.

What license is engram distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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