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semble vs gram
semble logo
semble
★ 4.5k
vs
gram logo
gram
★ 242

semble vs gram

semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.; gram: Gram is a cloud platform for creating, curating, and hosting MCP servers with ease. It supports OpenAPI documents and custom TypeScript functions to define tools, and provides a hosted and secure MCP server for every toolset. Gram empowers LLMs and agents to access the right data at the right time.

01

TL;DR

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

gram logoChoose gram if…

Host one or more remote MCP servers at a custom domain

02

Side-by-Side Comparison

Field
semble logosemble
gram logogram
Category
RAG / Knowledge Base
Dev Tooling
Stars
★ 4.5k
★ 242
License
MIT
AGPL-3.0
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
agents, aisdk, clis
03

Features

semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
gram logogram
01Minimal, lightweight, and open source
02High-level TypeScript framework that simplifies working with MCP
03Custom tool builder for creating higher-order tools by chaining lower-level tools
04OAuth support out-of-the-box
05First-class support for OpenAPI 3.0.X and 3.1.X
04

Use Cases

semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
gram logogram
↳Host one or more remote MCP servers at a custom domain
↳Power in-application chat by exposing context from internal or third-party APIs through tools
↳Manage and secure MCP servers for an entire organization through a unified control plane
05

Best For

semble logosemble
Code AssistantRAG / Knowledge Base
gram logogram
TrendingSecurity & SafetyAPI Integration
FAQ

FAQ

What is the difference between semble and gram?
Both semble and gram are in the RAG / Knowledge Base category. semble has 4.5k stars, while gram has 242 stars.
Which is better, semble or gram?
The best choice depends on your use case. Choose semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities, and gram if Host one or more remote MCP servers at a custom domain.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is gram free or open source?
Yes, gram is open source on GitHub (AGPL-3.0).
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Alternatives to semble →Alternatives to gram →semble details →gram details →
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