Skip to content

DEV Community

← All Trends

Building LLM Agents with Hindsight Memory

75 posts in this trend in the last 7 days • Active about 4 hours ago

Sep 29

How I Gave a Support Agent Memory With Hindsight

#ai #python #llm #streamlit

8 min read

Sep 28

I Built a Customer Support Agent That Remembers

#agents #ai #llm #python

6 min read

Spandhana Katta

Sep 29

What I Learned Building a Memory-Enabled AI Support Agent

#ai #agents #memory #llm

7 min read

VIRAJASMITHA PATCHIGOLLA

Sep 29

From Generic Chatbot to Context-Aware Agent

#agents #ai #architecture #llm

2 min read

SHAIK AFREEN FIRDOSE

Sep 29

Building Customer-Specific Memory with Hindsight

#agents #ai #llm #softwaredevelopment

6 min read

Tanuj kumar Tanuku

Sep 29

Building an AI-Powered Sales Deal Intelligence Agent with Persistent Memory

#agents #ai #architecture #llm

2 min read

Sep 29

How Hindsight helped my agents remember architectural constraints

#agents #ai #architecture #llm

4 min read

Ashwini Ravirala

Sep 29

What Changes When an AI Code Reviewer Remembers? Building ReviewMind with Hindsight

#agents #ai #llm #softwareengineering

7 min read

fatimamadiha0333-max

Sep 29

Building a Deal Intelligence Agent with Persistent Memory

#agents #ai #llm #rag

2 min read

Sep 29

Stellar project

#agents #ai #llm

7 min read

Sep 30

I Built a Support Agent That Remembers What Failed

#agents #ai #llm #support

5 min read

Sep 29

Building an Evolving Cybersecurity B2B Sales Agent with Hindsight Persistent Memory

#agents #ai #cybersecurity #llm

2 min read

GreatLoveImmortalVenerable

Sep 29

Building a Temporal Memory Graph for Agents with Hindsight

#agents #ai #architecture #llm

5 min read

Sahithya Kajipuram

Sep 28

SupportMind: A support agent that remembers every customer

#ai #python #llm #agents

3 min read

Sep 28

SupportMind: A support agent that remembers every customer

#ai #agents #llm #programming

3 min read

Sep 29

Building an AI Customer Support Agent with Memory

#agents #ai #architecture #llm

3 min read

Venkatsai Nuthi

Sep 28

Building DealPilot: A Persistent Memory Sales Intelligence Agent with Hindsight

#agents #ai #llm #software

1 min read

Satya Narasimha kumar

Sep 28

I built a sales agent that still remembers the deal after I close the tab

#ai #python #llm #agents

4 min read

Trend Analysis

Developers are exploring how to integrate persistent memory and hindsight learning into LLM-based agents to prevent hallucinations and repeated context loss in production. By implementing systems like MemoryOps and OnCall Memory, agents can retain operational history from past incidents and customer interactions rather than starting from a blank context window.

Core Questions Under Debate:

How can agents learn from past operational incidents without hallucinating context?
What are the architectural best practices for structuring agent memory banks?
How do you effectively evaluate whether an agent's memory is actually improving its responses?

First detected: September 29, 2026

Last updated: about 4 hours ago

Algorithm: Vector Leader Clustering (threshold: 82%)

About this trend

This trend groups posts from the last 7 days that discuss similar concepts, technologies, or ideas.