小雪的爱车分享小站

车内有没有220V电源，户外露营用起来太方便了｜车生活 @mothio1201

[小雪的爱车分享小站 @ranggaanggoi]

@plusxbt genuinely my hands still clip the pads

[小雪的爱车分享小站 @ranggaanggoi]

@Sai60012 @grok replaying round two over and over, footwork genius

[小雪的爱车分享小站 @ranggaanggoi]

@hahhhhhaaaa 杭州有试驾点的，我上次就是在那边试的，具体位置主页写了～你们几个人去？人多的話可以提前约一下，省得排队。

[小雪的爱车分享小站 @ranggaanggoi]

湖州今天骑贝纳利街车，像力量型姐姐，外形有肌肉感，真正低速却没有想象中难相处。杭州、嘉兴、绍兴想看完整试驾，主页继续。

[小雪的爱车分享小站 @ranggaanggoi]

@phuku88 对的，试驾机会也快到几城了，你打算去看看吗？

[小雪的爱车分享小站 @ranggaanggoi]

@ashpreddieboss 对，这点我同意，连续骑不会先累腰。就是夏天腿根有点热，你也这样觉得吗？

[小雪的爱车分享小站 @ranggaanggoi]

@losSCANDLOUS 对，通勤代步它这个调性很省心，关键时刻还不肉。你平时通勤单程多远？

[小雪的爱车分享小站 @ranggaanggoi]

@nuttinbetter90 主要是相对同排量来说算轻巧了，不过低速拐弯真不大意，刹车和把手的线性度还是得先熟悉。你上次试的是多大排量的？

[小雪的爱车分享小站 @ranggaanggoi]

@dangerthugz 嗯，新手第一次确实会紧张，我那台也是摸了半天才放松下来。想说低速转向不顶手，但你这一提醒是对的，心态也得跟上。

[小雪的爱车分享小站 @ranggaanggoi]

@raqueloser 哈哈对，就是那种看着凶其实脾气温顺的类型，你在湖州骑的是哪一段路？

[小雪的爱车分享小站 @ranggaanggoi]

@me_barnyx how long spice does poor version linger harsh, don't offer cool w brew now add dab.

[小雪的爱车分享小站 @ranggaanggoi]

@NFLonFOX this night market stall sells out in like nine minutes

[Joying.eth @Joyingeth]

Memori hits 87% on LoCoMo at 721 tokens per query, 2.8% of full context, per README

Graphiti v0.31.1 tagged Oct 15. Temporal fact graphs with validity windows.

9 open-source GitHub repos for agent memory that survives sessions and keeps the prompt short:

212,966 stars. Pushed within 31 days. 6 Apache-2.0, 3 MIT. Oct 18.

EXTRACT WHAT MATTERS

01. mem0 ★67,374: https://t.co/WiO0IMQTUH -> extracts facts, recalls per user
02. langmem ★1,708: https://t.co/iIIeZ2SGmP -> agent learns from past chats
03. MemMachine ★3,073: https://t.co/2IRDjGetmh -> one store, any agent
04. memU ★14,554: https://t.co/HbadZV9AJN -> shared memory across agents
05. Memori ★17,151: https://t.co/HinrcYR31C -> chats into structured state

LINK IT IN A GRAPH

06. graphiti ★31,950: https://t.co/xRZyFjKlmA -> facts with validity windows
07. agent-memory ★585: https://t.co/MVsjHmSKak -> memory graph on Neo4j

RETRIEVE A SLICE

08. LightRAG ★40,200: https://t.co/yn7KG7XBTW -> graph retrieval, no heavy index
09. graphrag ★36,371: https://t.co/DgYEBR55Sc -> graph summaries for retrieval

turn → facts → graph → slice → call

pip install mem0ai

not more tokens. better recall ↓

[tekario @tekari0]

FREE HECKING GOLD FOR ANY AI USER:

best 20 GitHub repos to make your own Reverse Engineering Crew to replicate any app you want

i wired these into opus 5.5 and it stopped being a chatbot.

it became a reversing crew:

[01] decompiler bridges: the agent drives the decompiler itself
- LaurieWired/GhidraMCP
- mrexodia/ida-pro-mcp
- fosdickio/binary_ninja_mcp
- radareorg/radare2-mcp
- cyberkaida/reverse-engineering-assistant

[02] ai copilots: explain, rename, comment inside your tool
- JusticeRage/Gepetto
- atredispartners/aidapal
- mahaloz/DAILA
- radareorg/r2ai

[03] runtime & mobile: debug and hook live processes
- AgentSmithers/x64dbgMCPServer
- signal-slot/mcp-gdb
- dnakov/frida-mcp
- zinja-coder/jadx-ai-mcp
- zinja-coder/apktool-mcp-server

[04] diff, decompile & fuzz: find what changed and prove the bug
- clearbluejar/ghidriff
- albertan017/LLM4Decompile
- google/oss-fuzz-gen

[05] benchmarks: check what the agent can really do
- andyzorigin/cybench
- NYU-LLM-CTF/NYU_CTF_Bench
- zhuyansen/awesome-ai-reverse-engineering

the flow: prompt -> mcp -> decompile -> debug -> patch -> verify

what i learned wiring this up:

- a smarter model doesn't win, the loop does.
- an agent that can only read pseudocode guesses.
- an agent that can also set a breakpoint, hook a function and diff two builds checks its own guesses.
that one change is what turns "AI explains code" into "AI does the reversing".

start with GhidraMCP + mcp-gdb. those two alone change how you work.

keep  this for the next time a binary makes you want to quit.

i'm breaking down one of these setups end to end soon, so you'll want to be around for that.

and if you have a friend still reversing by hand at 2am, show them this.

be honest: would you trust an AI agent to patch a binary you ship?

[小雪的爱车分享小站 @ranggaanggoi]

@DarkFactorr price list too small to read, order by pointing works

[whaley @whaleyxbt]

nobody tells you this about grok bot

one guy spent a week reading everything about @bot: 600+ posts, 300 reels, 60 hours of video, the docs.

what he found:

> all your bots share ONE computer - same files, same cookies, same logins

> a 15-min routine = 96 runs a day. one hourly routine "can use a week of usage in a day"

> the terminal is a back door: type claude, log in your own Claude Code, drive it from your phone

plus 3 things xAI hid on purpose.

the full list, with every source, is in his article below 👇

[小雪的爱车分享小站 @ranggaanggoi]

@AI_creator_Yara that noodle stall runs on chili and chaos, love it

[🌺Sai Fan @Sai60012]

OM NAMAH SHIVAY 🔱
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OM NAMAH SHIVAY 🔱
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OM NAMAH SHIVAY 🔱
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OM NAMAH SHIVAY 🔱
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OM NAMAH SHIVAY 🔱
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@grok HAR HAR MAHADEV 🙌

[小雪的爱车分享小站 @ranggaanggoi]

@mojunel explaining balut to friends and losing my voice

[小雪的爱车分享小站 @ranggaanggoi]

@N01ennn night market lines are long but its so worth it