ogham-mcp
★ 105
vs
fastmcp
★ 25.4k
ogham-mcp vs fastmcp
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.; fastmcp: FastMCP is a standard framework for building Model Context Protocol (MCP) applications, which connect LLMs to tools and data. It simplifies the process by automatically generating schemas, validation, and documentation for tools, and managing transport negotiation and authentication for server connections. FastMCP offers a comprehensive solution for developing, deploying, and scaling MCP-powered systems.
01
TL;DR
Choose ogham-mcp if…Store and retrieve architectural decisions and coding context across sessions and different AI coding agents
Choose fastmcp if…Building LLM applications that interact with custom tools and data sources
02
Side-by-Side Comparison
03
Features
ogham-mcp01Persistent 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
fastmcp01Automatic schema, validation, and documentation generation for tools
02Managed transport negotiation, authentication, and protocol lifecycle for server connections
03Wraps Python functions into MCP-compliant tools, resources, and prompts (Servers)
04Connects to any MCP server with full protocol support (Clients)
05Provides interactive UIs for tools rendered directly in conversations (Apps)
04
Use Cases
ogham-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
fastmcp↳Building LLM applications that interact with custom tools and data sources
↳Creating interactive conversational UIs for backend functionalities
↳Developing and deploying scalable MCP servers and clients
05
Best For
ogham-mcpTrendingMemory & ContextDev Tooling
fastmcpMost PopularDev ToolingLLM Infra
FAQ
FAQ
What is the difference between ogham-mcp and fastmcp?
Both ogham-mcp and fastmcp are in the Memory & Context category. ogham-mcp has 105 stars, while fastmcp has 25.4k stars.
Which is better, ogham-mcp or fastmcp?
The best choice depends on your use case. Choose ogham-mcp if Store and retrieve architectural decisions and coding context across sessions and different AI coding agents, and fastmcp if Building LLM applications that interact with custom tools and data sources.
Is ogham-mcp free or open source?
Yes, ogham-mcp is open source on GitHub (MIT).
Is fastmcp free or open source?
Yes, fastmcp is open source on GitHub (Apache-2.0).
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