ogham-mcp
★ 105
vs
openagent
★ 5.1k
ogham-mcp vs openagent
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.; openagent: OpenAgent is an open-source enterprise-level AI Cloud OS. It functions as an AI knowledge base and an MCP (model-context-protocol)/A2A (agent-to-agent) management platform. It includes an admin UI, user management, and Single-Sign-On, supporting a wide array of models like ChatGPT, Claude, and Llama.
01
TL;DR
Choose ogham-mcp if…Store and retrieve architectural decisions and coding context across sessions and different AI coding agents
Choose openagent if…Building and managing centralized enterprise AI knowledge bases
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
openagent01Open-source enterprise-level AI Cloud OS
02AI knowledge base functionality
03MCP (model-context-protocol) and A2A (agent-to-agent) management platform
04Admin UI, user management, and Single-Sign-On (SSO)
05Extensive support for various AI language, embedding, and speech models (e.g., OpenAI, Claude, Llama, Hugging Face, Qwen)
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
openagent↳Building and managing centralized enterprise AI knowledge bases
↳Orchestrating and integrating diverse AI models and agents within an enterprise environment
↳Developing AI applications that require robust user authentication and access control
05
Best For
ogham-mcpTrendingMemory & ContextDev Tooling
openagentMulti-AgentLLM InfraAPI Integration
FAQ
FAQ
What is the difference between ogham-mcp and openagent?
Both ogham-mcp and openagent are in the Memory & Context category. ogham-mcp has 105 stars, while openagent has 5.1k stars.
Which is better, ogham-mcp or openagent?
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 openagent if Building and managing centralized enterprise AI knowledge bases.
Is ogham-mcp free or open source?
Yes, ogham-mcp is open source on GitHub (MIT).
Is openagent free or open source?
Yes, openagent is open source on GitHub (Apache-2.0).
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