Continual Learning For Long Running Agents Agents That Keep Getting Better Information Guide

  1. Background on Continual Learning For Long Running Agents Agents That Keep Getting Better
  2. Main Features
  3. Developments
  4. Full Guide
  5. Future Outlook

Background on Continual Learning For Long Running Agents Agents That Keep Getting Better

Continual Learning for Long-Running Agents: Agents That Keep Getting Better Update
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Main Features

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Developments

Details Continual Learning: How AI Agents Get Better With Every Use | Arjun Karanam, Trajectory Update
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Anthropic Workshop: Build Agents That Run for Hours — Ash Prabaker & Andrew Wilson
Anthropic Workshop: Build Agents That Run for Hours — Ash Prabaker & Andrew Wilson
Continual Learning: The big challenge for AI - How to learn new things quickly | Lex Fridman Podcast
Continual Learning: The big challenge for AI - How to learn new things quickly | Lex Fridman Podcast
Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAI
Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAI
How Long-Running AI Agents Work | Matt Aitken’s Infrastructure Lessons
How Long-Running AI Agents Work | Matt Aitken’s Infrastructure Lessons
Agents need continual learning.
Agents need continual learning.
Scaling up Continual Learning — Ronak Malde, Trajectory
Scaling up Continual Learning — Ronak Malde, Trajectory
The Four Types of Memory Every AI Agent Needs
The Four Types of Memory Every AI Agent Needs
4 AI Agents To Automate 99% Of Your Life
4 AI Agents To Automate 99% Of Your Life
Memory and dreaming for self-learning agents
Memory and dreaming for self-learning agents

Full Guide

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Last Updated: October 3, 2026

Future Outlook

3 patterns to build long-running AI agents News
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Disclaimer: Disclaimer: All information is compiled from publicly available data, media reports, and analysis. Actual details may vary.

Summary

Jack Min Ong from Prime Intellect Inc will discuss Why self-evaluation is a trap and adversarial evaluator Lex Fridman Podcast full episode: youtube.com/watch?v=EV7WhVT270Q Thank you for listening ❤ our ... At supermemory, we are doubling down and pushing the frontier for memory and in-context Scale on policy self distillation to trajectories with a hundred tool calls and the model collapses into hedging. The tokens it learns ... Join my free newsletter: sandeepswadia.beehiiv.com/ Take us on your morning How memory and dreaming turn Claude Managed

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