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grafbase vs ogham-mcp
grafbase logo
grafbase
★ 1.2k
vs
ogham-mcp logo
ogham-mcp
★ 105

grafbase vs ogham-mcp

grafbase: Grafbase is a self-hosted, Rust-powered GraphQL Federation Gateway for high-scale, mission-critical applications. It unifies diverse data sources and microservices into a single, performant GraphQL API, offering enterprise-grade security and flexible deployment options.; ogham-mcp: Ogham MCP is a persistent, searchable shared memory system for AI coding agents that works across different clients and sessions. It stores memories as vector embeddings in PostgreSQL, enabling hybrid search combining semantic and full-text retrieval with high accuracy. Ogham supports multiple embedding providers, knowledge graph traversal, wiki compilation, and automatic memory management features like scoring, condensing, and novelty detection.

01

TL;DR

grafbase logoChoose grafbase if…

Unifying disparate microservices, legacy systems, and third-party APIs into a single federated GraphQL API.

ogham-mcp logoChoose ogham-mcp if…

Store and retrieve architectural decisions and coding context across sessions and different AI coding agents

02

Side-by-Side Comparison

Field
grafbase logografbase
ogham-mcp logoogham-mcp
Category
Memory & Context
Memory & Context
Stars
★ 1.2k
★ 105
License
THE
MIT
Updated
2w ago
4d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
GraphQL Federation, API Gateway, Rust
agent-memory, ai-memory, claude
03

Features

grafbase logografbase
01Native support for Apollo Federation v2 specification.
02Rust-powered gateway delivering ultra-low latency and memory efficiency.
03Extensible via WebAssembly for custom authentication, authorization, and data sources.
04Enterprise-grade security with advanced schema governance and fine-grained authorization.
05Universal data integration supporting GraphQL subgraphs, REST APIs, gRPC, and databases.
ogham-mcp logoogham-mcp
01Persistent shared memory across sessions and clients
02Hybrid search with Reciprocal Rank Fusion (semantic + full-text)
03Knowledge graph with entity linking, traversal, and contradiction detection
04Multi-provider embeddings (OpenAI, Ollama, Mistral, Voyage, Gemini, ONNX)
05Automatic condensing, scoring, novelty detection, and memory lifecycle management
04

Use Cases

grafbase logografbase
↳Unifying disparate microservices, legacy systems, and third-party APIs into a single federated GraphQL API.
↳Building high-performance, mission-critical APIs requiring enterprise-grade security and advanced schema governance.
↳Extending GraphQL capabilities with custom authentication, authorization, and arbitrary data source resolvers via WebAssembly.
ogham-mcp logoogham-mcp
↳Store and retrieve architectural decisions and coding context across sessions and different AI coding agents
↳Provide consistent, context-aware assistance to AI coding agents by maintaining a shared knowledge base
↳Preserve project-specific information, preferences, and facts for long-term reference without repetition
05

Best For

grafbase logografbase
TrendingEssential
ogham-mcp logoogham-mcp
TrendingMemory & ContextDev Tooling
FAQ

FAQ

What is the difference between grafbase and ogham-mcp?
Both grafbase and ogham-mcp are in the Memory & Context category. grafbase has 1.2k stars, while ogham-mcp has 105 stars.
Which is better, grafbase or ogham-mcp?
The best choice depends on your use case. Choose grafbase if Unifying disparate microservices, legacy systems, and third-party APIs into a single federated GraphQL API., and ogham-mcp if Store and retrieve architectural decisions and coding context across sessions and different AI coding agents.
Is grafbase free or open source?
Yes, grafbase is open source on GitHub (THE).
Is ogham-mcp free or open source?
Yes, ogham-mcp is open source on GitHub (MIT).
→

Related

Alternatives to grafbase →Alternatives to ogham-mcp →grafbase details →ogham-mcp details →
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