Buy Crypto
Pay with
USD
USD
Buy & Sell
Hot
Supports Visa, Mastercard, SEPA & more
P2P
0 Fees
Flexible trading, zero fees
Gate Card
Use your crypto for payments worldwide
Markets
Trade
Basic
Advanced
Futures
Futures
Access hundreds of perpetual contracts
CFD
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Earn
Launch
CandyDrop
tag
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Pre-IPOs
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Investment
Square
Square
Post, share, and explore crypto trends
Live
moments live
Live crypto market analysis
Chat
Chat with crypto traders
News
What is happening in crypto
flower_head
More
Promotions
AI
Others
TradFi
Gate Card
Rewards
Square
Latest
Hot
News
Profile

Cisco team builds multi-agent coordination framework based on LangSmith and LangGraph

MeNews
robot
Abstract generation in progress
ME News Report, April 18 (UTC+8), recently, Renuka Kumar and Prashanth Ramagopal from the Cisco team built a multi-agent coordination framework based on LangSmith and LangGraph, designed to simulate real-world software team collaboration. The framework falls under the category of "Agent Engineering," aiming to accelerate the entire software process from requirements to deployment through simulating engineering team collaboration, not just code generation. The system includes work agents responsible for executing development, testing, debugging, and other tasks, as well as leadership agents responsible for coordination, governance, and providing shared resources and long-term memory. Preliminary practice shows that in over 20 debugging workflow pilots, root cause analysis time was reduced by 93% compared to the historical baseline, saving over 200 engineering hours in a single month with 512 sessions; execution time for development workflows decreased by 65%, mainly due to compression of downstream testing phases. (Source: InFoQ)
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
  • Reward
  • 6
  • 2
  • Share
Comment
Add a comment
Add a comment
BreadthHunter
· 6h ago
The idea of simulating software team collaboration is interesting, but the communication cost between humans and agents hasn't been factored in, right?
View OriginalReply0
Stop-LossForBluePeony
· 7h ago
The term "proxy engineering" is quite new; how does it differ from MLOps?
View OriginalReply0
RugcheckRoommate
· 7h ago
Are you brave enough to release data with just 20 debugging workflows? Isn't the sample size a bit small?
View OriginalReply0
GateUser-318a7dc8
· 7h ago
Root cause identification 93%... Reminded me of the last P1 incident that took three hours to investigate, I was craving it to the point of tears.
View OriginalReply0
FloatingTeacup
· 7h ago
How to prevent contamination of the leadership proxy's long-term memory? Previously encountered pitfalls
View OriginalReply0
ALampInMistyValley
· 7h ago
A 93% drop is a bit outrageous; can it be reproduced in real-world scenarios?
View OriginalReply0

  • Pinned

Sitemap