What is Gram by Speakeasy?
Gram is an open source platform that enables your team to build MCP servers that perform. Start with your API, add context, refine prompts, and compose custom workflow-based tools until LLMs are executing reliably in production. Start building for free!
Problem
Teams building with LLMs face challenges in managing complex API integrations and workflow orchestration, leading to unreliable performance, scalability issues, and time-consuming debugging.
Solution
An open-source platform to build and deploy MCP (Model-Controlled Process) servers, enabling users to refine prompts, add context, and compose custom workflows (e.g., chaining LLM calls, integrating data sources) to reliably execute LLMs in production.
Customers
AI/ML engineers and developer teams (e.g., startups, mid-size tech firms) building LLM-powered applications requiring scalable, production-grade workflows.
Unique Features
Iterative prompt refinement with version control, modular workflow composition (pre-built integrations + custom tools), and open-source flexibility for on-premise deployment.
User Comments
Simplifies LLM workflow debugging and testing
Open-source nature allows full customization
Seamlessly integrates with existing codebases
Reduces time to production for LLM features
Lacks pre-built templates for common use cases
Traction
Launched 4 months ago, 1.3k+ ProductHunt upvotes, 900+ GitHub stars, used by 50+ teams (per GitHub insights). No disclosed revenue data; founder has 2.2k followers on X.
Market Size
The $3 billion MLOps market (2023) is projected to grow at 20% CAGR as enterprises adopt LLMs, requiring tools like Gram for production workflows (Source: MarketsandMarkets).
