hypedarhypedar
feedtrendsdiscovershowcasearchive
login
login
login
FeedTrendsDiscoverShowcaseArchiveDashboard
Submit Showcase

Trending now

Linux + Performance42Llm + Agents33Editor + Ide31
View all trends →

hypedar

AI trend radar for developers. Catch emerging papers, repos, and discussions before the hype peaks.

AboutGitHubDiscord

By the makers of hypedar

Codepawl

Open-source tools for developers.

Explore our tools →
AboutPrivacyTermsX

© 2026 Codepawl

Built by Codepawl·© 2026

About·Terms·Privacy·Security

GitHub·Discord·X

feedtrendsdiscovershowcasearchive
← feed
arXiv4h ago
5.3

Aligning Progress and Feasibility: A Neuro-Symbolic Dual Memory Framework for Long-Horizon LLM Agents

Bin Wen, Ruoxuan Zhang, Yang Chen, Hongxia Xie, Lan-Zhe Guo

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty8/10
Categorypaper
Topics
agentsmemory

Opportunity Brief

Build a dual-memory system (short-term buffer + long-term symbol storage) for agents to prevent 'progress drift' and feasibility errors. This is the key to building autonomous long-horizon bots.

Suggested repo: NeuroMem

"Stop your agents from wandering aimlessly: add dual-memory for long-term goal alignment."

Estimated effort: 50h