AI Agents Get Long-Term Memory for Development Teams
A new tool lets AI agents share memories and learn from each other, helping development teams maintain consistency. It stores valuable insights as artifacts for future use.
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Memory
35 stories tagged Memory · page 2 of 2
Mnemory: Giving AI Agents a Memory to Remember
Mnemory is a new tool that lets AI agents remember information across conversations. This could make AI assistants much more useful in everyday tasks.
Memanto: Revolutionizing Agent Memory with Typed Semantic Storage
Researchers introduce Memanto, a new memory system for autonomous agents that uses typed semantic storage and information-theoretic retrieval. This approach aims to reduce computational overhead compared to traditional graph-based methods.
AI Memory System Mimics Biological Forgetting for Better Context Management
A new AI memory system uses the Ebbinghaus forgetting curve to dynamically manage context, reinforcing frequently used data and pruning unused information. This approach aims to reduce noise and improve reasoning in AI agents.
Unified Review of Memory and Harness Engineering in LLM Agents
A new paper provides a comprehensive review of externalization techniques in LLM agents, focusing on memory and harness engineering. It highlights key advancements and challenges in the field.
TTKV: A New Approach to Optimizing Long-Context LLM Inference
Researchers propose TTKV, a temporal-tiered KV cache that prioritizes recent memories in LLMs, improving efficiency for long-context inference. This method mimics human memory systems, offering a more scalable solution than existing approaches.
Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents
Researchers propose a framework to unify memory, skills, and rules in LLM agents, addressing the challenge of managing accumulated experience. The study highlights a lack of cross-community collaboration in the field.
New Architecture Solves AI Agent Identity Crisis with Multi-Anchor Memory System
Researchers propose a multi-anchor architecture to prevent AI agents from losing their 'self' due to memory overflow. This approach draws inspiration from human memory systems to ensure continuity and resilience.
OpenClaw 2026.4.12: Stability, Audio, and Memory Fixes
OpenClaw's latest update focuses on stability, audio transcription, and memory improvements. The release also includes fixes for Telegram approval deadlocks and timezone issues in dreaming.
AI with Memory and Sleep Experiences Nightmares
A developer created an AI system with memory and sleep capabilities, which began generating nightmare-like outputs. This raises questions about the nature of AI consciousness and the ethical implications of such advancements.
DecisionNode Introduces Shared Structured Memory for AI Coding Tools
DecisionNode launches a new framework enabling shared structured memory across AI coding tools via the MCP protocol. This could revolutionize collaborative AI development.