# mengram.io

> AI-optimized mirror of mengram.io containing 33 pages totalling 14,444 words of clean markdown content, structured data, and semantic HTML. Original source: https://mengram.io/. Last updated: 2026-04-30T23:27:02.645Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Your agent forgets everything.  Mengram fixes that.](/site-root.html): Give Claude Code persistent memory with one command. Auto-save, auto-recall, cognitive profile. 3 memory types, MCP server, Python & JS SDKs. Free Mem0 alternative. (1,781 words)

## Articles & Blog Posts

- [docs/mcp-server/index.html](/docs/mcp-server/index.html) (1 words)
- [docs/managed-agents/index.html](/docs/managed-agents/index.html) (1 words)
- [docs/agent-memory/index.html](/docs/agent-memory/index.html) (1 words)
- [The problem with stateless agents](/blog/autonomous-ai-agent-memory/index.html): Learn the memory loop pattern for autonomous AI agents. Store outcomes, recall context before decisions, and auto-evolve procedures from failures. Python tutorial with code examples. (849 words)
- [blog/context-engineering-memory/index.html](/blog/context-engineering-memory/index.html) (1 words)
- [What are Claude Managed Agents?](/blog/claude-managed-agents-memory/index.html): Step-by-step guide to adding persistent memory to Anthropic's Claude Managed Agents using Mengram's MCP server. Semantic, episodic, and procedural memory for autonomous agents. (895 words)
- [The bug that lived in plain sight](/blog/multi-tenant-mcp-server/index.html): How to add multi-tenant user isolation to any Model Context Protocol (MCP) server. Two-tier identity model, working code, and the design decisions behind scoped tool calls. (1,243 words)
- [The problem: Cursor forgets everything](/blog/cursor-ai-memory-mcp/index.html): Give Cursor AI persistent memory that survives between sessions. Step-by-step MCP server setup guide. Your AI remembers your codebase, coding style, and past decisions. (892 words)
- [Terms of Service](/terms/index.html): Mengram Terms of Service (550 words)
- [Why LLMs forget everything](/blog/what-is-ai-memory/index.html): Learn what AI memory is, why LLMs need it, and how persistent memory with semantic, episodic, and procedural types transforms AI agents. Developer guide with code examples. (561 words)
- [Prerequisites](/blog/how-to-add-memory-to-ai-agents/index.html): Step-by-step tutorial: add persistent memory to AI agents in Python or JavaScript. Works with OpenAI, Anthropic, and any LLM. 5-minute setup, plans from $5/mo. (454 words)
- [Privacy Policy](/privacy/index.html): Mengram Privacy Policy (461 words)
- [Why one type of memory isn't enough](/blog/semantic-episodic-procedural-memory/index.html): Deep dive into the 3 types of AI memory: semantic (facts), episodic (events), and procedural (workflows). Learn how each type works and why agents need all three. (647 words)
- [The system prompt problem](/blog/cognitive-profile-system-prompts/index.html): Learn how Cognitive Profile auto-generates system prompts from stored AI memory. One API call turns user facts, events, and workflows into a personalized context block for any LLM. (548 words)
- [The problem](/blog/claude-code-memory-hooks/index.html): Step-by-step guide to adding persistent memory to Claude Code. Install auto-save, auto-recall, and cognitive profile hooks with one command. Open-source, plans from $5/mo. (544 words)
- [AI Memory for Customer Support Agents](/usecase/customer-support/index.html): Give your customer support AI agents persistent memory. Remember customer history, preferences, and past issues across every interaction. Reduce resolution time by 40%. (270 words)
- [What is MCP?](/blog/mcp-memory-server-setup/index.html): Step-by-step guide to set up Mengram's MCP server for Claude Desktop. 29 memory tools including search, add, profile, knowledge graph, and smart triggers. (483 words)
- [Refund Policy](/refund/index.html): Mengram Refund Policy (200 words)
- [Multi-Tenant MCP Servers: How to Add user_id Isolation to Model Context Protocol](/blog/index.html): Learn about AI memory for LLMs and AI agents. Guides on semantic, episodic, and procedural memory, MCP servers, framework integrations, and more. (545 words)
- [Why agent frameworks need external memory](/blog/ai-memory-for-crewai-langchain/index.html): Tutorial: add persistent AI memory to CrewAI and LangChain agents. Code examples for semantic, episodic, and procedural memory integration. Works with any LLM. (424 words)
- [AI Memory for Sales & SDR Agents](/usecase/sales/index.html): Build sales AI agents with persistent memory. Track prospect interactions, objections, pain points, and follow-ups. AI SDR that gets smarter with every call. (285 words)
- [The context window problem](/blog/ai-memory-vs-rag/index.html): Compare AI memory and RAG (Retrieval-Augmented Generation). Learn why context windows aren't enough, when to use each approach, and how to combine them for smarter AI agents. (459 words)
- [AI Memory for Healthcare Agents](/usecase/healthcare/index.html): Build healthcare AI agents with persistent memory. Track patient context, medical preferences, and care history. Self-hostable for data sovereignty. (247 words)
- [AI Memory for Education & Adaptive Tutoring](/usecase/education/index.html): Build AI tutors with persistent memory. Track student knowledge, learning style, and progress. Adaptive tutoring that gets smarter with every session. (268 words)
- [Overview](/blog/mem0-vs-mengram-benchmark/index.html): Detailed comparison of Mem0 vs Mengram for AI memory. Compare memory types, pricing, API design, MCP support, and performance. Open-source Mem0 alternative with 3 memory types. (344 words)
- [Mengram vs LangMem](/vs/langmem/index.html): Compare Mengram and LangMem for AI agent memory. Mengram offers 3 memory types, Cognitive Profile, and framework-agnostic API. Works beyond LangChain. (201 words)
- [AI Memory for Personal Assistants](/usecase/personal-assistant/index.html): Build AI personal assistants with persistent memory. Remember user preferences, habits, schedules, and context. Cognitive Profile for instant personalization. (284 words)
- [Mengram vs Letta](/vs/letta/index.html): Compare Mengram and Letta (MemGPT) for AI agent memory. Mengram offers semantic + episodic + procedural memory with self-improving workflows. Plans from $5/mo. (181 words)
- [Mengram vs Supermemory](/vs/supermemory/index.html): Compare Mengram and Supermemory. Supermemory is a bookmark manager. Mengram is an AI memory API with semantic, episodic, and procedural memory for agents. (202 words)
- [Mengram vs Zep](/vs/zep/index.html): Compare Mengram and Zep for AI agent memory. Mengram offers 3 memory types and procedural learning. Open-source, plans from $5/mo vs Zep's enterprise-only pricing. (186 words)
- [Mengram vs claude-mem](/vs/claude-mem/index.html): Compare Mengram and claude-mem for Claude Code memory. claude-mem saves conversations. Mengram adds auto-recall, cognitive profile, 3 memory types, and cross-tool support. Plans from $5/mo. (240 words)
- [Mengram vs Mem0](/vs/mem0/index.html): Compare Mengram and Mem0 for AI agent memory. Mengram adds episodic memory, procedural memory that evolves from failures, and Cognitive Profile. Plans from $5/mo. (196 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives