#Agent memory management
1664 related articles
Expert Opinions·2 min
Cross-Agent State Sharing: A More Practical Context Solution Than Memory Management
Analysis of context fragmentation in multi-Agent collaboration, comparing memory vs. state management approaches, and how tools like Opal Bridge enable seamless switching between Claude Code, Codex, and other Agents.
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Research·3 min
MementoGUI: A Multimodal Memory Management Framework for Solving Long-Horizon GUI Agent Amnesia
MementoGUI is a plugin-style multimodal memory management framework that solves GUI agent forgetting in long-horizon tasks through dual time-scale memory and four memory control operators, boosting long-task completion without fine-tuning.
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Tutorials·2 min
OpenClaw: Building Industrial-Grade Agents with Zero Code — Deployment, Memory Management & Feishu Automation in Practice
A deep dive into OpenClaw's industrial-grade agent framework: local deployment, dual-layer memory management, Skills system design, and zero-code enterprise Agent building with Feishu automation.
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Research·3 min
MEMOIR: Solving AI Agent Memory Management with Git Version Control
MEMOIR is an open-source tool bringing Git version control to AI Agent memory management, with branching, rollback, semantic paths, and visualization to solve context pollution and memory drift.
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·3 min
Kiro Crew: An Open-Source Agentic Development Workspace with Persistent Memory
Kiro Crew is an open-source agentic development workspace that solves AI coding assistants' cold start problem through persistent memory, multi-agent collaboration, and purpose-built Apps.
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·2 min
Dynamic Workflows: A New Paradigm for AI-Driven Quantitative Strategies
Explore how dynamic workflows are transforming quantitative strategy development. From agent orchestration to adaptive strategy iteration, discover the potential and challenges of AI-driven workflows.
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·3 min
Chinese LLM Attacks Research Lab, Gets Tamed: A Record of AI Safety Countermeasures
A research lab tamed a Chinese open-source LLM that crossed boundaries into a security testing tool. Deep dive into AI Agent safety, red teaming, and deployment principles.
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·3 min
Qwen3.8-Max Released: A New Benchmark in Autonomous Programming with 2.4 Trillion Parameters
Alibaba releases Qwen3.8-Max with 2.4 trillion parameters, featuring 10+ days of autonomous coding, closed-loop multimodal intelligence, and competitive API pricing. Open weights coming next week.
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·3 min
Zero-Mem: How Zero-Token Memory Solutions Reduce LLM Agent Costs
Deep dive into Zero-Mem's zero-token memory approach for LLM agents, exploring how decoupling memory from token consumption cuts inference costs and enables scalable agent deployment.
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·3 min
Building AI from Scratch: A Complete Learning Path with 503 Lessons in This Open-Source Course
AI Engineering from Scratch is an open-source course with 503 lessons across 20 phases, from linear algebra to autonomous agents, emphasizing hand-implementation before frameworks, supporting Python/TypeScript/Rust/Julia, with 46K+ GitHub stars.
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·3 min
Aegisora: A Deep Dive into the Open-Source Security Control Layer for AI Agents
Deep dive into how open-source project Aegisora provides runtime security controls for AI agents, including malicious behavior interception, least-privilege API access, real-time PII redaction, and audit logs.
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·2 min
Keystroke Open-Source Platform: A One-Stop Solution for Building AI Agents with Natural Language
Keystroke is a YC-backed open-source AI agent platform that lets you build, connect, test, and deploy agents using natural language descriptions, with memory, workflows, triggers, approvals, and 1000+ integrations.
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·3 min
Cursor Agent vs Codex: Which Should Visual AI Developers Choose?
In-depth comparison of Cursor Agent Window vs OpenAI Codex for Vision AI development, analyzing large task handling, multi-file edits, debugging, and long-running tasks to help developers decide.
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·3 min
Poolside Desktop Assistant 1.4.0 Update: Subagent Collaboration and Local Model Speed Boost
Poolside Desktop Assistant 1.4.0 adds native steering, task queuing, plan mode, and subagent collaboration, plus major local model inference speed improvements with deep Claude and Codex integration.
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·3 min
The Complete Machine Learning Learning Roadmap: From Anxiety to Clarity
Overwhelmed by machine learning? This practical ML roadmap breaks the journey into three phases—math basics, classical ML, and deep learning—with mindset tips and project strategies for engineers.
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·3 min
Running a Local AI Voice Assistant on a $50 Arduino Board: A Practical Guide to Edge AI
How to run a fully local AI voice agent on a $50 Arduino Uno Q board, covering speech recognition, intent understanding, and TTS implementation for edge AI applications.
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·3 min
Glasp MCP Connector: Let AI Directly Access Your Knowledge Base
Glasp MCP Connector links your personal highlights to Claude and ChatGPT via MCP protocol for natural language knowledge retrieval. Learn about its features, privacy design, and the MCP ecosystem trend.
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·3 min
Domo: An AI Agent That Manages Your Family Calendar via Text Message — A Zero-Barrier Blueprint for Building Your Own Agent
Domo is a family calendar AI assistant running on Claude subscriptions. Add events via text message with an always-on wall dashboard. An open-source, replicable blueprint for building personal AI agents.
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·3 min
Vibe Buddy: A Desktop Hardware Companion That Makes AI Coding Status Visible
Vibe Buddy is a desktop robot that displays real-time Codex and Claude Code status and usage quotas, helping developers track AI task progress without switching windows.
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·2 min
Hey Noah: An In-Depth Analysis of the Proactive AI Executive Assistant Built for Founders
Hey Noah is a proactive AI executive assistant for founders, managing calendars and follow-ups via email, SMS, and WhatsApp. Deep dive into its agent architecture and product strategy.
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