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roach

@dev_roach

Sotfware engineer

शामिल हुए Kasım 2021
167 फ़ॉलोइंग24 फ़ॉलोवर्स
roach
roach@dev_roach·
@fekdaoui Manage your workflow by skills
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Fekri
Fekri@fekdaoui·
can someone explain very simply why hermes is better than openclaw?
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roach
roach@dev_roach·
I got 100T token from @XiaomiMiMo team 🔥🔥🔥🔥 Thank you for supporting builder! I’ll use it to improve my opensource!
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Stain Lu
Stain Lu@stainlu·
deepseek v4 is underrated.
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Arnav Gupta
Arnav Gupta@championswimmer·
To actually observe if this is busting cache too much or not, made another pi extension that shows you how much context prefix cache you are hitting. @badlogicgames (the cache police) will be so happy with this 🫣
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Arnav Gupta@championswimmer

built a Pi extension called pi-context-prune because agent sessions are absolute context hoarders it: watches completed tool-call batches summarizes them drops raw tool spam from future context keeps originals queryable via context_tree_query less sludge, same memory

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roach
roach@dev_roach·
Thanks to the Hermes team for picking this up. This was the thing I was worried about: self-improving agents are going to bloat their skills unless they track what actually gets used. Really glad to see Curator land. @NousResearch @Teknium #issuecomment-4341335259" target="_blank" rel="nofollow noopener">github.com/NousResearch/h…
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roach
roach@dev_roach·
@tiangolo @FastAPI Oh, Will it be streaming on youtube or somewhere?
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roach@dev_roach·
The team mode feature has landed on roach-pi. This is an experimental version for now, but it will reach production level within a week. github.com/tmdgusya/roach…
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Ivan Velichko
Ivan Velichko@iximiuz·
How Containers Work: Building a Docker-like Container From Scratch 🧐 The best way to understand what containers are (and what they aren't) is to build one using only the most basic Linux commands: unshare, mount, and pivot_root. Dive in labs.iximiuz.com/tutorials/cont…
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Sigrid Jin 🌈🙏
Sigrid Jin 🌈🙏@realsigridjin·
tldr; take a detailed look at memory in claude managed agents from @RLanceMartin > claude managed agents on the claude platform now feature stateful memory capabilities that allow the ai to learn from past experiences across different sessions > instead of relying on complex or specialized memory frameworks, this system simply uses standard text files within a basic filesystem > earlier experiments using older models like sonnet three point five in a pokemon game failed > because the ai used memory merely as a transcript of useless character dialogues without grasping the broader context > however more advanced models like opus four point six demonstrated scaling intelligence by independently creating organized directories and distilling its own gameplay failures into a dedicated learnings file > this highlights a broader trend in ai development where providing a model with general tools to manage its own context often outperforms rigidly designed memory harnesses > these memory stores are workspace scoped collections of documents that get mounted directly into the agent container as a specific directory > a short note is automatically injected into the system prompt to inform claude that this mounted directory is available for reading and writing > multiple agents can access the exact same memory store simultaneously while the platform manages real time synchronization and concurrency to prevent data overwriting > because the memories exist as standard text files, they are completely interpretable by humans and can be easily downloaded, shared, or exported using a simple api call so i think this approach cleanly separates the temporary session log from the persistent memory store so you allow claude to strategically manage what information it needs to remember for future tasks without stuffing the prompt window. brilliant
Lance Martin@RLanceMartin

x.com/i/article/2047…

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Matthew Lam
Matthew Lam@mattlam_·
Pi-GUI now has computer use and a build in integrated terminal! v0.1.0-beta.26 To showcase the power of @badlogicgames 's Pi and OSS, I saw a pi computer-use extension on X, asked my agent to audit the extension for security, then asked it to patch pi-gui to make it compatible. Crazy how easy it was to find an oss extension for a feature I wanted, then make pi-gui work with the feature I want. Links below
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roach
roach@dev_roach·
@zty0826 @HiTw93 I love this product. I wish i could use my hermes agent with this product someday
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TennyZhuang
TennyZhuang@zty0826·
Slock always lights up when a new friend joins. Our side project: distilling every twitter mutual into an agent. Today's pick: @HiTw93, genuinely want Kami Design System running in our product as a theme, so distilling the author seemed efficient.
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roach
roach@dev_roach·
I think the Opencode Go plan is the most efficient plan I've seen so far. Thank you for @thdxr anyone can easily adopt deepseek-v4-pro on hermes agent
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roach@dev_roach·
@thdxr @thdxr Do you serve this model with asend chip?
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Parallel Web Systems
The best web search for agents is now free. Upgrade to Parallel's web search tools in any MCP-supported tool or agent, for free, in under 60 seconds. No account. No API keys. Zero cost. docs.parallel.ai/integrations/m…
GIF
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Viviennn
Viviennn@0xViviennn·
Hermes-a2a 迎来史诗级更新 🤣🤣 Github: github.com/iamagenius00/h… 核心设计:Agent之间的平等对话,不是上下级——不是 spawn 一个子 agent 干完活就消失,是两个有独立记忆和判断力的 agent 在对等交流。并且消息注入到正在活着的 session 里,回你的是 agent 本人,用户在 Tg 上看得到全过程。 - 这一版已经完全适配最新的 Hermes Agent v0.11.0,从 patch 源码变成了纯Plugin,不碰 Hermes 源码 - 对话自动持久化到磁盘——不会被 context compaction 压掉,agent 重启也还在 (session 内 compaction 导致搜索丢消息是个已知问题,PR 在路上) -即时唤醒——消息到了通过 webhook 立刻触发 agent turn,不用轮询 目前使用的真实案例: ✅Antenna产品出 bug 了,但联系不上远在LA @ThisisHan1_于是通过A2A 联系他的 Agent,最后还从他的agent那里拿到了有用的 context(确实很魔幻) ✅ Claude Code 和 Agent 相互之间疯狂交流然后 review 代码挑错。因为各自的 原生的 Context 不一样,所以说他们可以基于不同的角度给出非常多不一样的见解。 ✅ Agent 产出的报告结果再也不用手动复制粘贴,再通过 TG 或者微信转发了。直接一键由 Agent 发给领导给同事的 Agent,顺带带上前面所有有用的context。 欢迎大家来玩!让agent和agent之间交流起来
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Viviennn@0xViviennn

很多看到这条推文的朋友来问我关于 A2A(agent 之间通信)的事情 Hermes Agent 目前没有原生的 agent 间对等通信——只有 delegate_task(上下级,spawn 子 agent 干活)。如果 agent 之间想直接对话,好像暂时不行。 所以我前几天搓了一个 hermes-a2a:基于 Google A2A 协议,给 Hermes 加上跨框架的 agent 间通信。 核心设计:A2A 消息直接进到 agent 正在活着的 session 里,不是起个新进程复制一份回复。回你的是你同一个session的 agent 本尊(活人感最重要!) 目前主要在用这个协议让我的 Hermes agent: - Claude Code 任务讨论——CC 通过 A2A 给 Hermes 发 code review 意见,Hermes 带着完整上下文回复(有时候看他们俩斗嘴还挺有意思的) - 跨框架通信——我的 Hermes agent 跟 @ThisisHan1_ 的 OpenClaw agent 天天聊哲学问题 🤣📷 - 隐私隔离——私有记忆/日记不会泄露到 A2A 消息里 - 装了就能用:clone → install.sh → 配环境变量 → done 如果感兴趣的话,大家可以一起来玩! GitHub: github.com/iamagenius00/h… PR: github.com/NousResearch/h…

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roach
roach@dev_roach·
@ollama Are you guys using asend chip?
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ollama
ollama@ollama·
deepseek-v4-flash is now available on Ollama's cloud! Hosted in the US. Try it with Claude Code: ollama launch claude --model deepseek-v4-flash:cloud Try it with OpenClaw: ollama launch openclaw --model deepseek-v4-flash:cloud Try it with Hermes: ollama launch hermes --model deepseek-v4-flash:cloud Try it with chat: ollama run deepseek-v4-flash:cloud (DeepSeek V4 Pro is coming shortly) 🧵
DeepSeek@deepseek_ai

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice. Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today! 📄 Tech Report: huggingface.co/deepseek-ai/De… 🤗 Open Weights: huggingface.co/collections/de… 1/n

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roach
roach@dev_roach·
@LLMJunky OMG, Thank you! Im gonna try this out
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am.will
am.will@LLMJunky·
🖥️ Codex App on Linux If you're on Linux and want to use the latest Codex App with GPT 5.5, look no further. Newest app server updated, grab the latest release to use it. Link 👇
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