AgentIndex icon
AgentIndex
Audrey logo
Audrey
★ 26
vs
ogham-mcp logo
ogham-mcp
★ 116

Audrey vs ogham-mcp

Audrey: Audrey is a persistent memory and continuity engine for AI agents, providing local-first storage via SQLite, MCP tools, REST API, and SDKs for JavaScript and Python. It offers durable recall, consolidation, contradiction handling, and benchmark gates without external infrastructure. It integrates seamlessly with Claude Code and supports Docker deployment.; 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

Audrey logo
AudreyMemory & Context · ★ 26

Providing memory for Claude Code sessions to maintain context

Read Audrey 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
Audrey logoAudrey
ogham-mcp logoogham-mcp
Category
Memory & Context
Memory & Context
Stars
★ 26
★ 116
License
MIT
MIT
Install Command
npx audrey init
uvx --from ogham-mcp ogham init
Updated
1mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, ai, claude
agent-memory, ai-memory, claude
03

Features

Audrey logoAudrey
01Local-first memory with SQLite and sqlite-vec
02Multiple interfaces: MCP, CLI, REST, JavaScript, Python, Docker
03Durable operations: snapshot, restore, health checks, benchmark gates, graceful shutdown
04Structured memory: consolidation, decay, contradiction tracking, procedural memory
05Automatic hook-based recall and reflection for Claude Code sessions
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

Audrey logoAudrey
↳Providing memory for Claude Code sessions to maintain context
↳Sidecar deployment for REST API based agents
↳Local memory for AI agents in operational domains like fintech and healthcare
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 Audrey and ogham-mcp?
Both Audrey and ogham-mcp are in the Memory & Context category. Audrey has 26 stars, while ogham-mcp has 116 stars.
Which is better, Audrey or ogham-mcp?
The best choice depends on your use case. Choose Audrey if Providing memory for Claude Code sessions to maintain context, and ogham-mcp if Store and retrieve architectural decisions and coding context across sessions and different AI coding agents.
Is Audrey free or open source?
Yes, Audrey is open source on GitHub (MIT).
Is ogham-mcp free or open source?
Yes, ogham-mcp is open source on GitHub (MIT).
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Related

Alternatives to Audrey →Alternatives to ogham-mcp →Audrey details →ogham-mcp details →