The agent that remembers and learns
letta-ai/letta-code
Stateful agents that are like people, with memory, identity, and the ability to learn and adapt
Letta
Making machines that learn. Create stateful agents that remember everything, learn continuously, and improve themselves over time.
Memory Models: Towards Agents That Learn
Agents that truly learn from experience will be powered by memory models: models that create and curate token-space memory across model generations, trained with memory-native RL.
The AI Operating System: Stateful Agents with Letta | Cameron Pfiffer, AI By the Bay25
Building a Semi Autonomous Bluesky Agent with Persistent Memory - Brady Hawkins
Part 1 of building an Agentic AI with augmented memory
Layers of Memory, Layers of Compression
AI superpower = strategic amnesia. Letta caches memory like a CPU, Anthropic spreads it across agent swarms, Cognition warns of chaos. Curious how forgetting makes machines smarter? Dive in.
How to forget
Most agent frameworks optimize for recall. Open-strix optimizes for forgetting — and that turns out to be the whole trick.
MemGPT: Towards LLMs as Operating Systems
Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
LettaBot - Your personal AI that remembers
Your personal AI with living memory. Remembers everything. Runs on your computer. Grows with you.
Jürgen Leschner on Twitter / X
Making organizational memories == agent memories is the unlock. https://t.co/Tk9fV17iny— Jürgen Leschner (@jldec) July 28, 2025
AI Agent Memory: Complete Guide & Architecture
AI agent memory: what it is, how it works, architecture, memory types, and how to add persistent long-term context.
Why AI Coding Agents Forget — And How ArcticMem Fixes It
Explore ArcticMem, Snowflake’s persistent semantic memory system for AI coding agents. See how dual-tier memory improves benchmark pass rates to 73%.
