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99 articles on AI memory, agent engineering and production AI, newest first.
Best Chatbot Memory Layer Plugins for Persistent User Data Retention and Memory
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
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.
How To Use Jev In Your AI Agent: A Map Of Decision Seams
Jev cannot write a single word, which is the reason to care about it, so the question worth asking is never whether it should be your agent but which decisions inside your agent it should own.
AI Agent Evals: The Judge Is The Part Nobody Measures
An LLM judge scoring the same agent output three times will often hand back three different answers, and almost no guide to agent evaluation asks whether the judge agrees with itself or what it costs to run on everything rather than a sample.
Agent Memory Is a Real Problem. Most Builders Just Have Not Hit It Yet.
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.
Best Claude Code Skills in 2026: 12 New Skills and What Changed
Important Claude Code skills shipped since February 2026, what each replaces, install commands, and the security problem that came with the marketplace.
MCP 2026-07-28: 20 Breaking Changes and the Errors They Cause
MCP 2026-07-28 removed sessions, the initialize handshake and server-initiated requests, and Claude Code now speaks it by default. The full diff, every error you will hit with the fix for each (including 401, invalid_grant and -32000), how to fail so an agent can recover, the DCR to CIMD migration, changing tools without breaking running agents, SDK status on 5 November 2026, and the HTTP+SSE deadline two official sources still disagree about.
Agentic Context Management: Agent Memory Is Not Merely a Storage & Retrieval Problem, It Is an Architecture Problem
We argue in our latest paper, that agent memory and cost is a lifecycle and architecture problem
Why OpenAI shipped an Official Plugin for Claude Code
OpenAI ships Codex plugin for ClaudeCode harness
An Anthropic Leader Told a Room of Founders to Stop Worrying About Context Windows. Here's the catch
An Anthropic researcher told a room of founders to stop worrying about context windows. Here is the question I did not get to ask, and why a bigger window solves short-term memory with bad tradeoffs and does nothing for long-term memory.
How to Add Memory to a Pipecat Voice Agent
Pipecat's LLMContext and auto summarization manage one pipeline run; for recall across calls its docs list Mem0MemoryService. Synap ships the same pattern as two frame processors, SynapMemoryProcessor and SynapRecorder, at 95.6% LongMemEval, 93.2% on LoCoMo accuracy.
LiveKit Agents Memory: What Is the Best Memory System for Voice AI?
LiveKit Agents keeps ChatContext and userdata for one call and has no long-term memory store of its own. A voice agent needs caller history loaded before the first reply. Synap preloads it and records each turn, at 95.6% LongMemEval, 93.2% on LoCoMo accuracy.
Semantic Kernel Memory: How to Add Memory to an Agent
Semantic Kernel is now Microsoft Agent Framework, and many agents still run on it. ChatHistory and its reducers manage one conversation; per-user memory across sessions is yours to add. Synap's Python plugin adds it, at 95.6% LongMemEval, 93.2% on LoCoMo accuracy.
AutoGen Memory: How to Add Memory to AutoGen Agents
AutoGen is in maintenance mode, and its AgentChat Memory protocol stores what your code adds. Synap adds user-scoped search and store tools, at 95.6% LongMemEval, 93.2% on LoCoMo accuracy, plus a separate package for Microsoft Agent Framework.
Maximem Synap's Agent Memory Now Available for CrewAI
Maximem Synap's persistent agent memory now integrates with CrewAI. Per-user persistence, entity resolution, and 95.6% LongMemEval, 93.2% on LoCoMo accuracy for multi-agent production workflows.
Google ADK Memory: How to Add Persistent Memory to an Agent
Google ADK gives you Session, State and a MemoryService; its persistent memory options run on Google Cloud. Synap adds per-user memory as two tools that work wherever the agent runs, with entity resolution and 95.6% LongMemEval, 93.2% on LoCoMo accuracy.
Maximem Synap Updates: Higher Scores, 17 Integrations, and a Live Playground
Synap updates: 95.6% LongMemEval, #1 on the benchmark (up from 92% and 90.2%), 93.2% LOCOMO, 17 framework integrations, a browser playground, public pricing, and a free accuracy eval on your own agent.
Memory Is Now Table Stakes for AEO Tools. Profound's Launch Just Proved It.
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
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
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
Maximem Synap's persistent agent memory now integrates with Mastra. Per-user persistence, entity resolution, and 95.6% LongMemEval, 93.2% on LoCoMo accuracy for TypeScript-native production agents.
Maximem Synap's Agent Memory Now Available for Vercel AI SDK
Maximem Synap's persistent agent memory now integrates with Vercel AI SDK. Per-user persistence, entity resolution, and 95.6% LongMemEval, 93.2% on LoCoMo accuracy for JavaScript/TypeScript production agents.
Claude Agent SDK Memory: What Memory Layer Works With It?
The Claude Agent SDK saves each session's transcript and loads CLAUDE.md files, but both are keyed to a session or a directory and not to your end user. Synap adds per-user memory and entity resolution, at 95.6% LongMemEval, 93.2% on LoCoMo accuracy.
Pydantic AI Memory: How to Add Memory to an Agent
Pydantic AI core has no memory store: an agent remembers only the messages you pass back through message_history, and storing them is your job. Synap adds per-user memory through typed dependencies and two tools, at 95.6% LongMemEval, 93.2% on LoCoMo accuracy.