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letta vs ogham-mcp
letta logo
letta
★ 23.0k
vs
ogham-mcp logo
ogham-mcp
★ 105

letta vs ogham-mcp

letta: Letta is a powerful platform for building stateful AI agents equipped with advanced memory, enabling them to learn and self-improve over time. It provides both a command-line interface for local agent execution and a comprehensive API with Python and TypeScript SDKs for seamless integration into applications.; 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

letta logoChoose letta if…

Running AI agents locally in your terminal for coding and general tasks.

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
letta logoletta
ogham-mcp logoogham-mcp
Category
Memory & Context
Memory & Context
Stars
★ 23.0k
★ 105
License
Apache-2.0
MIT
Updated
2w ago
4d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Stateful AI, Agent Platform, Advanced Memory
agent-memory, ai-memory, claude
03

Features

letta logoletta
01Build stateful AI agents with advanced memory
02Agents capable of learning and self-improvement over time
03CLI tool for running agents locally in your terminal
04Comprehensive API for integrating agents into applications
05Support for skills and subagents; fully model-agnostic
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

letta logoletta
↳Running AI agents locally in your terminal for coding and general tasks.
↳Integrating stateful AI agents into custom applications using the API and SDKs.
↳Developing self-improving AI systems that adapt and learn continually.
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

letta logoletta
Most PopularTrendingEssential
ogham-mcp logoogham-mcp
TrendingMemory & ContextDev Tooling
FAQ

FAQ

What is the difference between letta and ogham-mcp?
Both letta and ogham-mcp are in the Memory & Context category. letta has 23.0k stars, while ogham-mcp has 105 stars.
Which is better, letta or ogham-mcp?
The best choice depends on your use case. Choose letta if Running AI agents locally in your terminal for coding and general tasks., and ogham-mcp if Store and retrieve architectural decisions and coding context across sessions and different AI coding agents.
Is letta free or open source?
Yes, letta is open source on GitHub (Apache-2.0).
Is ogham-mcp free or open source?
Yes, ogham-mcp is open source on GitHub (MIT).
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