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speakeasy-api
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speakeasy-api/gram

Securely scale AI usage across your organization. A single stack to Connect, Secure, Observe and Distribute agents, MCPs, and Skills within your company.

Go ◇ agents AGPL-3.0
★271STARS
⑂35FORKS
!196ISSUES
🏆#7,258GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#753

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

gram gained 10 stars in the last 30 days, about 1 a day, and now has 271. It is about 1 year old and has averaged roughly 271 stars a year. It ranks #753 among Go repositories and #7,258 across all languages on GitHubRepo.

Trending Record

gram has maintained a continuous presence across global trending indexes, peaking at #6473. Below is the 30-day activity profile:

💡 Overview

gram is an open-source project written in Go: Securely scale AI usage across your organization. A single stack to Connect, Secure, Observe and Distribute agents, MCPs, and Skills within your company.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, aisdk, clis. 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/speakeasy-api/gram@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

gram 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with gram.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install gram using your package manager: `go install github.com/speakeasy-api/gram@latest`

2

Initialize your project workspace or configuration file for gram.

3

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

4

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

👍 Strengths

Active community backing with 271 GitHub stars and verified adoption.
Permissive open-source distribution under the AGPL-3.0 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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The Go programming language

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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

speakeasy-api/gram is currently ranked #7,258 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,246 capacitor-community/fcm Swift ★ 272 Compare ↗
#7,246 tomkerkhove/promitor C# ★ 272 Compare ↗
#7,246 inab/trimal C++ ★ 272 Compare ↗
#7,246 helixnow/deep-student TypeScript ★ 272 Compare ↗
#7,246 kaybi-gh/K7 C# ★ 272 Compare ↗
#7,258 speakeasy-api/gram This Project Go ★ 271
#7,258 tritant/ComfyUI_MiniMax_H3_Extender Python ★ 271 Compare ↗
#7,258 demarche-numerique/demarche.numerique.gouv.fr Ruby ★ 271 Compare ↗
#7,258 fuzziqersoftware/newserv C++ ★ 271 Compare ↗
#7,258 gosuda/portal-tunnel Go ★ 271 Compare ↗
#7,258 BugeStudioTeam/Buge-App-Manager Kotlin ★ 271 Compare ↗

Frequently Asked Questions

What does gram do? +

Securely scale AI usage across your organization. A single stack to Connect, Secure, Observe and Distribute agents, MCPs, and Skills within your company.

What language is gram written in? +

The primary language is Go. Topics include: agents, aisdk, clis, golang, mcp.

Is gram actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 196 open issues being tracked.

How many stars does gram have? +

gram has 271 stars and 35 forks on GitHub.

How does gram rank among GitHub repositories? +

With 271 stars, speakeasy-api/gram is ranked #7,258 globally across all repositories tracked on GitHubRepo and #753 among Go projects.

What license is gram distributed under? +

The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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