Construct vs ChatGPT, Claude, and Gemini
Compare Construct with chat assistants such as ChatGPT, Claude, and Gemini across workspace, tools, memory, schedules, and workflows.
Construct Computer Blog8 min read
Agent Memory
232 stories
AI Agent Memory You Can Control
Give an AI agent persistent memory with provenance, corrections, temporal context, and controls to inspect, update, forget, or restore what it knows.
Construct Computer Blog8 min read
Agentic Context Engineering: How AI Agents Learn Without Context Collapse
Agentic context engineering uses a seven-step context loop, verification gates, retrieval, and evals to help AI agents learn without context collapse.
Lev8 Blog13 min read
The 8 Best AI Campaign Builders for Small Marketing Teams in 2026
What Is an AI Campaign Builder? An AI campaign builder is a platform that generates, personalizes, and distributes marketing campaigns across channels using generative AI and workflow orchestration. Rather than writin…
Robynn AI Blog11 min read
What Are Context Graphs? (And Why AI Agents Need Them)
We explain why AI agents need to capture decisions, how context graphs achieve this, and how AI agents can use these graphs.
Nanonets Blog20 min read
From Loop Engineering to Self-Improvement: The Loop Over Loops
Loop engineering is how we get agents to iterate toward a goal on their own. Self-improvement is the next stage — a loop wrapped around those loops, so each pass makes the next one better. This is a field note on how the two ideas connect.
Reflexio Blog7 min read
Learn to build AI agents. No framework code.
Everyone wants to build AI agents - but underneath every agent is one raw API call most people never look at. A short, no-frameworks look at what actually happens when you call an LLM API - the raw request, the raw response - that's it.
The One AI Architect
How AI Memory Really Works: Why Your Best Conversations Still Need a Vault
You ask ChatGPT to help plan a trip. A week later, Claude helps you untangle a work problem. Gemini explains a topic you never quite understood. Grok turns a messy idea into a clearer one.
Memoriq Blog13 min read
Learn, Generalize, Reflect and Optimize (LGRO): A Practical Guide for Self-Improving AI Agents
Memory remembers what happened. Learning changes what the agent does next time. LGRO — Learn, Generalize, Reflect, Optimize — is a practical framework for non-parametric, self-improving AI agents.
Reflexio Blog8 min read
Chat Assistants vs AI Employees
ChatGPT and Claude are great at drafting, but autonomous ops need execution, persistence, and inspectable work. See how Construct compares to chat assistants.
Construct Computer Blog7 min read
Standup in the Agentic Age
If your standup is still a tour of what everyone — or everyone's coding agent — did yesterday, you're doing it wrong. Ari already knows what happened. Standup isn't the memory layer anymore; it's the steering layer. Here's how we run it at Ariso.
Oats Blog4 min read
Pinecone-Powered Knowledge Infrastructure Helps Jenova's Agent Platform Quickly Reach $1M ARR and 200,000+ Signups
Pinecone is the trusted AI knowledge company. Its AI knowledge platform—Database, Nexus, and Marketplace—powers accurate, fast, cost-effective AI for 10,000+ customers and 1M developers worldwide.
Pinecone8 min read
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.
Maximem Synap Blog9 min read
Maximem Synap & LiveKit Agents Integration
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 Blog11 min read
Maximem Synap's Agent Memory Now Available for Pipecat
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 Blog10 min read
Maximem Synap's Agent Memory Connected To Semantic Kernel
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 Blog10 min read
Maximem Synap's Agent Memory Now Available for Google ADK
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.
Maximem Synap Blog8 min read
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 92% LongMemEval, 93.2% on LoCoMo accuracy for multi-agent production workflows.
Maximem Synap Blog8 min read
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