Guides, tutorials, and deep dives on AI memory for LLMs and agents.
Give your Claude Managed Agents long-term memory across sessions. Connect Mengram via MCP in 2 minutes — your agents remember users, learn from failures, and build cognitive profiles.
GuideArchitectureContext engineering is the new paradigm replacing prompt engineering. But most implementations miss the hardest pillar: persistent memory. Here's how to fix that.
TutorialCursorMCPGive Cursor AI persistent memory across sessions. Step-by-step MCP setup so your AI assistant remembers your codebase, preferences, and decisions.
ArchitectureAgentsThe memory loop pattern for autonomous AI agents: store outcomes, recall before decisions, evolve procedures from failures. With Python examples.
TutorialClaude CodeGive Claude Code persistent memory with one command. Auto-save conversations, auto-recall context on every prompt, and load your cognitive profile on session start.
GuideFundamentalsLearn what AI memory is, why LLMs need it, and how persistent memory transforms stateless chatbots into context-aware agents.
ComparisonArchitectureRAG retrieves documents. AI memory learns from interactions. Understand when to use each and why the best agents use both.
Deep DiveFundamentalsUnderstand the three types of memory that make AI agents truly intelligent: semantic (facts), episodic (events), and procedural (workflows).
TutorialQuick StartStep-by-step tutorial to add persistent memory to any AI agent using Python or JavaScript. Works with OpenAI, Anthropic, and any LLM.
FeatureDeep DiveCognitive Profile generates a complete system prompt from a user's memory history. One API call turns scattered memories into a personalized context block.
TutorialMCPConnect Mengram's AI memory to Claude Desktop via MCP. 29 tools for search, add, profile, and more — setup in under 3 minutes.
ComparisonBenchmarkDetailed feature-by-feature comparison of Mem0 and Mengram for AI agent memory. Pricing, memory types, API design, and performance benchmarks.
TutorialIntegrationAdd long-term memory to CrewAI and LangChain agents with Mengram. Code examples for both frameworks with semantic, episodic, and procedural memory.