AgentIndex icon
AgentIndex
akb logo
akb
★ 163
vs
ogham-mcp logo
ogham-mcp
★ 116

akb vs ogham-mcp

akb: AKB is an agent knowledgebase that serves organizational memory for AI agents over the Model Context Protocol (MCP). It provides hybrid semantic + keyword search, structured tables, files, and a URI graph, all backed by Git for version history. Designed as a drop-in alternative to Confluence or Notion for MCP-aware agents like Claude Code, Cursor, and Windsurf.; 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

akb logo
akbMemory & Context · ★ 163

Provide persistent memory and knowledge management for AI coding agents

Read akb full review →
ogham-mcp logo
ogham-mcpMemory & Context · ★ 116

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

Read ogham-mcp full review →
02

Side-by-Side Comparison

Field
akb logoakb
ogham-mcp logoogham-mcp
Category
Memory & Context
Memory & Context
Stars
★ 163
★ 116
License
NOASSERTION
MIT
Install Command
cp config/app.yaml.example config/app.yaml && cp config/secret.yaml.example config/secret.yaml && docker compose up -d
uvx --from ogham-mcp ogham init
Updated
1d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent, claude, claude-code
agent-memory, ai-memory, claude
03

Features

akb logoakb
01Git-backed version history for all documents and files
02MCP (Model Context Protocol) integration via Streamable HTTP and stdio
03Hybrid search (dense + BM25) with RRF fusion
04Structured documents and tables with Markdown and YAML frontmatter
05Explicit knowledge graph with relations (depends_on, related_to, implements)
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

akb logoakb
↳Provide persistent memory and knowledge management for AI coding agents
↳Replace Confluence or Notion for agent-accessible documentation
↳Manage complex project knowledge with structured docs, tables, and graph relationships
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
FAQ

FAQ

What is the difference between akb and ogham-mcp?
Both akb and ogham-mcp are in the Memory & Context category. akb has 163 stars, while ogham-mcp has 116 stars.
Which is better, akb or ogham-mcp?
The best choice depends on your use case. Choose akb if Provide persistent memory and knowledge management for AI coding agents, and ogham-mcp if Store and retrieve architectural decisions and coding context across sessions and different AI coding agents.
Is akb free or open source?
Yes, akb is open source on GitHub (NOASSERTION).
Is ogham-mcp free or open source?
Yes, ogham-mcp is open source on GitHub (MIT).
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Related

Alternatives to akb →Alternatives to ogham-mcp →akb details →ogham-mcp details →