bug-bounty535
xss291
rce160
google125
bragging-post121
account-takeover116
exploit101
privilege-escalation98
open-source96
facebook93
authentication-bypass89
csrf87
microsoft83
stored-xss75
malware75
access-control72
cve72
web-security68
ai-agents66
writeup65
reflected-xss63
phishing55
ssrf55
input-validation55
information-disclosure50
sql-injection49
smart-contract49
cross-site-scripting49
defi48
api-security48
privacy47
tool46
ethereum45
reverse-engineering45
apple43
vulnerability-disclosure41
cloudflare39
web-application38
burp-suite37
ai-security37
llm37
automation37
dos36
opinion36
credential-theft35
lfi35
web335
remote-code-execution35
html-injection34
responsible-disclosure34
0
2/10
This article argues that filesystems are emerging as the primary interface for AI agents to manage persistent context and capabilities, with file formats (like CLAUDE.md, SKILL.md) replacing APIs and plugin systems as the de facto standard for agent interoperability. The author contends that the bottleneck for AI agents has shifted from model capability to context persistence, making filesystem-based architecture more practical than traditional database or API-driven approaches.
ai-agents
filesystem-architecture
context-management
llm-memory
agent-design
coding-agents
interoperability
standards
markdown-based-config
persistent-context
LlamaIndex
LangChain
Oracle
Dan Abramov
Archil
Jerry Liu
Andrej Karpathy
Anthropic
Claude Code
OpenAI
Cursor
ETH Zürich
AT Protocol
Agent Skills
Microsoft
GitHub
Atlassian
NanoClaw
Codex
Copilot