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Technical articles on AI agent memory, decay-scored retrieval, and building with Smara.

Smara SDK Quickstart: Add AI Memory in 5 Minutes
Complete quickstart guide with full working examples in JavaScript, Python, and cURL. Store, search, list, and delete memories. Plus MCP integration, team setup, and best practices.
Smara vs Mem0: Which AI Memory API Should You Use in 2026?
A detailed comparison of pricing, features, architecture, and developer experience. Includes a migration guide for teams switching from Mem0 to Smara.
How Ebbinghaus Decay Curves Make AI Memory Actually Useful
Why flat memory retrieval fails as memories accumulate, how the 1885 forgetting curve solves it, and how Smara implements decay-scored retrieval with before/after API examples.
Building AI Agents with Persistent Memory: A Complete Guide
Step-by-step tutorial: build an AI agent that remembers across conversations. Covers storing, searching, agent-scoped memory, graph connections, team memory, and a complete agent loop with code.
The Best Mem0 Alternatives for AI Memory in 2026
Comparing Smara, Zep, Letta (MemGPT), agentmemory, and custom Postgres+pgvector. Pricing tables, feature matrices, and honest pros/cons for each option.
Add Memory to Claude Code in 30 Seconds with MCP
Install the Smara MCP server and give Claude Code persistent memory across sessions. Three steps, no code changes, works immediately.

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