# AI Agent Memory — Maximem field notes > How AI agents remember across sessions: long-term memory architectures, memory platforms and their alternatives, memory vs RAG, and why assistants forget. An agent without memory starts every session as a stranger. It asks for the same preferences twice, loses the decision a user made last week and cannot tell a returning customer from a new one. Fixing that takes more than a vector store bolted onto a chat loop, because deciding what is worth remembering, noticing when a fact has gone stale, working out whose memory a fact belongs to and forgetting on request are separate problems with separate failure modes. These articles cover memory as it behaves in production: how memory platforms such as Mem0, Zep, Letta and Supermemory differ on axes you can verify, what building your own memory layer really costs, and where memory ends and retrieval begins. Maximem Synap treats memory as agentic context management, and the pages linked below explain that model in depth. ## All 29 articles - [Best Chatbot Memory Layer Plugins for Persistent User Data Retention and Memory](https://www.maximem.ai/blog/best-chatbot-memory-layer-plugins-for-persistent-user-data-retention) — 2026-09-22: The best chatbot memory layer plugin captures durable user information, stores it with the right scope, retrieves only the relevant part of it, and updates or deletes it reliably. - [The Best AI Agent Memory Layers in 2026, Ranked on Axes You Can Verify](https://www.maximem.ai/blog/best-ai-agent-memory-platforms-2026) — 2026-09-18: No single AI agent memory layer is best in 2026. The right one depends on tenant isolation, contradiction handling, where you can run it, and what a retrieval costs, all of which you can check in an afternoon. - [Agent Memory Is a Real Problem. Most Builders Just Have Not Hit It Yet.](https://www.maximem.ai/blog/agent-memory-is-a-real-problem-most-builders-just-have-not-hit-it-yet) — 2026-09-18: Every LLM call is stateless; agent frameworks solve that within a single run, which is why the memory problem only shows up once the run ends. - [Agentic Context Management: Agent Memory Is Not Merely a Storage & Retrieval Problem, It Is an Architecture Problem](https://www.maximem.ai/blog/agentic-context-management-paper) — July 25, 2026: We argue in our latest paper, that agent memory and cost is a lifecycle and architecture problem - [Maximem Synap's Agent Memory Now Available for Pipecat](https://www.maximem.ai/blog/pipecat-memory-synap-integration) — June 3, 2026: Maximem Synap's persistent agent memory now integrates with Pipecat. Per-caller persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production voice and multimodal pipelines. - [Maximem Synap & LiveKit Agents Integration](https://www.maximem.ai/blog/livekit-agents-memory-synap-integration) — June 3, 2026: Maximem Synap's persistent agent memory now integrates with LiveKit Agents. Per-caller persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production voice agents. - [Maximem Synap's Agent Memory Connected To Semantic Kernel](https://www.maximem.ai/blog/semantic-kernel-memory-synap-integration) — June 3, 2026: Maximem Synap's persistent agent memory now integrates with Microsoft Semantic Kernel. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for .NET and Python production agents. - [Maximem Synap's Agent Memory Now Available for AutoGen](https://www.maximem.ai/blog/autogen-memory-synap-integration) — May 29, 2026: Maximem Synap's persistent agent memory now integrates with AutoGen. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for Microsoft multi-agent production systems. - [Maximem Synap's Agent Memory Now Available for CrewAI](https://www.maximem.ai/blog/crewai-memory-synap-integration) — May 29, 2026: Maximem Synap's persistent agent memory now integrates with CrewAI. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for multi-agent production workflows. - [Maximem Synap's Agent Memory Now Available for Google ADK](https://www.maximem.ai/blog/google-adk-memory-synap-integration) — May 29, 2026: Maximem Synap's persistent agent memory now integrates with Google ADK. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for GCP production agents. - [Memory Is Now Table Stakes for AEO Tools. Profound's Launch Just Proved It.](https://www.maximem.ai/blog/memory-for-aeo-geo-seo-tools) — May 27, 2026: Profound shipped conversation memory. Stateless AEO tools are now behind. Here is the category signal, the three layers they need, and why building in-house is the wrong bet. - [The state of AI memory in 2026: claimed vs observed](https://www.maximem.ai/blog/state-of-ai-memory-2026-claimed-vs-observed) — May 27, 2026: Independent reproduction of AI memory benchmark claims in 2026. LongMemEval and LoCoMo results from an open harness, with published vs. observed numbers for Mem0, Zep, SuperMemory and Synap. - [Vity vs Obsidian for AI Agent Memory](https://www.maximem.ai/blog/vity-vs-obsidian-ai-agent-memory) — May 27, 2026: Technical comparison of Vity and Obsidian for AI agent memory. Covers context rot, entity resolution, cross-AI coverage, setup complexity, and security. - [Maximem Synap's Agent Memory Now Available for Mastra](https://www.maximem.ai/blog/mastra-memory-synap-integration) — May 26, 2026: Maximem Synap's persistent agent memory now integrates with Mastra. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for TypeScript-native production agents. - [Maximem Synap's Agent Memory Now Available for Vercel AI SDK](https://www.maximem.ai/blog/vercel-ai-sdk-memory-synap-integration) — May 26, 2026: Maximem Synap's persistent agent memory now integrates with Vercel AI SDK. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for JavaScript/TypeScript production agents. - [Maximem Synap's Agent Memory Now Available for Claude Agent SDK](https://www.maximem.ai/blog/claude-agent-sdk-memory-synap-integration) — May 26, 2026: Maximem Synap's persistent agent memory now integrates with Claude Agent SDK. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production agents. - [Maximem Synap's Agent Memory Now Available for Pydantic AI](https://www.maximem.ai/blog/pydantic-ai-memory-synap-integration) — May 25, 2026: Maximem Synap's persistent agent memory now integrates with Pydantic AI. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for type-safe production agents. - [Maximem Synap's Agent Memory Now Available for LlamaIndex](https://www.maximem.ai/blog/llamaindex-memory-synap-integration) — May 25, 2026: Maximem Synap's persistent agent memory now integrates with LlamaIndex. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production RAG agents - [Maximem Synap's Agent Memory Now Available for OpenAI Agents SDK](https://www.maximem.ai/blog/openai-agents-memory-synap-integration) — May 25, 2026: Maximem Synap's persistent agent memory now integrates with OpenAI Agents SDK. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production agents. - [Maximem Synap's Agent Memory Now Available for LangGraph](https://www.maximem.ai/blog/langgraph-synap-memory-integration) — May 21, 2026: Maximem Synap's persistent agent memory now integrates with LangGraph. Cross-thread state, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production state graphs. - [Maximem Synap's Agent Memory Now Available for LangChain](https://www.maximem.ai/blog/langchain-maximem-synap-memory-integration) — May 20, 2026: Maximem Synap's persistent agent memory now integrates with LangChain. - [The Real Cost of DIY Agent Memory ](https://www.maximem.ai/blog/real-cost-diy-agent-memory) — May 16, 2026: Building agent memory from scratch costs $40K-$120K and 6+ months of engineering time. See the real numbers behind DIY memory systems and when to build vs buy. - [ What Is Agentic Context Management? ](https://www.maximem.ai/blog/what-is-agentic-context-management) — May 16, 2026: Agentic context management is how you orchestrate what information your AI agents see and when. Learn why it's critical infrastructure, not a feature, and how to architect it properly. - [How Synap Works Under the Hood](https://www.maximem.ai/blog/how-maximem-synap-works) — April 11, 2026: We launched Maximem Synap today. Here's a peek into how it is built. - [Synap Scores 92% on LongMemEval, 93.2% on LoCoMo: What the Numbers Mean](https://www.maximem.ai/blog/synap-benchmark-results) — April 10, 2026: Synap outperforms existing memory systems by redesigning context management on leading benchmarks; delivering higher accuracy, lower latency, and stable performance at scale through structured, domain-specific architectures. - [Why AI Forgets: Why ChatGPT, Claude, and Gemini Don't Remember You Well](https://www.maximem.ai/blog/why-ai-forgets) — April 5, 2026: AI conversations are stateless by design. Each new chat starts with no knowledge of previous sessions. ChatGPT, Claude do have a built-in memory features that stores basic facts about you, but they only retain lightweight summaries of recent chats and don't carry over the detailed context from working sessions. - [The Memory Portability Problem: Why Your AI Still Doesn't Know You](https://www.maximem.ai/blog/ai-memory-portability) — March 3, 2026 - [We Looked at how 3 AI apps handle Memory. None of Them Solve the Real Problem.](https://www.maximem.ai/blog/ai-apps-memory) — February 16, 2026: How ChatGPT, Claude, and OpenClaw Remember You and Why it is Not Enough - [The Future of AI Memory Systems](https://www.maximem.ai/blog/future-ai-memory-systems) — July 25, 2025: Exploring the next generation of AI capabilities and how memory will shape the future of human-AI interaction. Start here: [How agent memory works](https://www.maximem.ai/how-agent-memory-works) · [The memory problem](https://www.maximem.ai/the-memory-problem) · [Build vs buy agent memory](https://www.maximem.ai/build-vs-buy-agent-memory) · [Long-term memory (glossary)](https://www.maximem.ai/glossary/long-term-memory) Other topics: [Context Engineering](https://www.maximem.ai/blog/topic/context-engineering) · [RAG & Retrieval](https://www.maximem.ai/blog/topic/rag) · [MCP & Agent Protocols](https://www.maximem.ai/blog/topic/mcp) · [Agent Frameworks](https://www.maximem.ai/blog/topic/frameworks) · [Agent Evals & Observability](https://www.maximem.ai/blog/topic/evals) · [Claude Code & Coding Agents](https://www.maximem.ai/blog/topic/coding-agents) · [Voice Agents](https://www.maximem.ai/blog/topic/voice-agents) · [LLM Cost & Production](https://www.maximem.ai/blog/topic/production) · [Research & Product Updates](https://www.maximem.ai/blog/topic/research) --- Source: [https://www.maximem.ai/blog/topic/agent-memory](https://www.maximem.ai/blog/topic/agent-memory)