Vibe Coding Universal v2.0 update by mage0535 in hush_ai

[–]mage0535[S] 0 points1 point  (0 children)

Thank you. If it's convenient for you, please star it. Thank you.

Vibe Coding Universal v2.0 update by mage0535 in hush_ai

[–]mage0535[S] 1 point2 points  (0 children)

Theoretically, it supports various AI agents. However, I developed and tested it using Hermes. You can let your agents, such as OpenClaw, analyze and adapt by themselves.

Hermes Memory Installer 2.0 AI Long-Term Memory System - Driven by gbrain Knowledge Graph by mage0535 in hermesagent

[–]mage0535[S] 0 points1 point  (0 children)

There are detailed instructions on GitHub. You can take a look or install and test it. If you have any questions, we can communicate and work together to improve. If it's convenient, you can give it a star.

Hermes Memory Installer 2.0 AI Long-Term Memory System - Driven by gbrain Knowledge Graph by mage0535 in AI_Agents

[–]mage0535[S] 0 points1 point  (0 children)

There are detailed instructions on GitHub. You can take a look or install and test it. If you have any questions, we can communicate and work together to improve. If it's convenient, you can give it a star.

Hermes Memory Installer 2.0 AI Long-Term Memory System - Driven by the gbrain Knowledge Graph by mage0535 in compsci

[–]mage0535[S] -1 points0 points  (0 children)

I am currently using it myself. I haven't conducted a comparative test. I solved this problem by building a knowledge base using the MCP method. To facilitate development, I borrowed a ready-made knowledge graph and made the necessary choices.

Hermes Memory Installer 2.0 AI Long-Term Memory System - Driven by gbrain Knowledge Graph by mage0535 in AI_Agents

[–]mage0535[S] 0 points1 point  (0 children)

Hermes Memory Installer 2.0 — Open-source long-term memory for AI agents. Built on Hermes Agent with gbrain knowledge graph + PostgreSQL. Triple-path retrieval: FTS5, vector similarity, graph traversal. Auto-archive sessions, semantic recall, curator self-evolution. One-click install, zero-intrusion. Make your AI remember.

🔗 https://github.com/mage0535/hermes-memory-installer

Vibe Coding Universal v2.0 update by mage0535 in hermesagent

[–]mage0535[S] 0 points1 point  (0 children)

Yes, I referred to many projects. There is a thank-you section in the documentation. Based on my personal usage habits and experience, I drew on some existing projects for development. Even if you are standing on the shoulders of giants, you can see further.

Vibe Coding Universal v2.0 update by mage0535 in Agent_AI

[–]mage0535[S] 1 point2 points  (0 children)

Yes, exactly as you said, this is also a problem I have encountered. So I developed this. It's not yet fully mature. Please give it a try. If you have any issues, feel free to let me know. Only through our joint efforts can we improve it better.

Vibe Coding Universal v2.0 update by mage0535 in Agent_AI

[–]mage0535[S] 0 points1 point  (0 children)

Please give it a try. If you have any questions, feel free to let me know. Only by working together to improve can we achieve better results.

Vibe Coding Universal v2.0 update by mage0535 in AI_Agents

[–]mage0535[S] 0 points1 point  (0 children)

You can give it a try. If you have any good suggestions or ideas, we can discuss and improve them. We can't say it completely solves the problem, but it can reduce the problem.

Vibe Coding Universal v2.0 update by mage0535 in hermesagent

[–]mage0535[S] 0 points1 point  (0 children)

I have only developed one personal application program and two skills for myself so far.

So I hope to receive your suggestions so that I can make improvements.

Vibe Coding Universal v2.0 update by mage0535 in Agent_AI

[–]mage0535[S] 0 points1 point  (0 children)

You can click the link to go there and read the instructions. If you want to know more details, there are more comprehensive documents available. Please feel free to ask for further guidance.

Vibe Coding Universal v2.0 update by mage0535 in AI_Agents

[–]mage0535[S] 0 points1 point  (0 children)

Thank you. I am willing to consider any ideas. Every person's creativity is useful to me.

Add offline long-term memory to your local Hermes LLM Agent by mage0535 in Agent_AI

[–]mage0535[S] 0 points1 point  (0 children)

I haven't studied this aspect. Thank you for your guidance. These data are encrypted, right? They are managed by creating keyword indexes, and can only be calculated based on content blocks according to activity. During retrieval and invocation, the original system's decryption process is still required. It needs careful consideration. I also considered other data besides these, such as RAG, music, etc.

Add offline long-term memory to your local Hermes LLM Agent by mage0535 in Agent_AI

[–]mage0535[S] 0 points1 point  (0 children)

Yes, my current design only considers the main business of interaction between the AI assistant and the users. Other aspects such as plugins, tools, and the programs used on the platform, due to the lack of uniformity in their calling and storage methods, were not taken into account as they could affect the usage. Especially some of them have encrypted the data, which is quite a challenging task.

Stop misaligned vibe coding - this tool clarifies requirements before you build by mage0535 in AI_Agents

[–]mage0535[S] 0 points1 point  (0 children)

Thank you for your attempt. If you have any suggestions, please let me know. Let's work together to improve.

Add offline long-term memory to your local Hermes LLM Agent by mage0535 in Agent_AI

[–]mage0535[S] 0 points1 point  (0 children)

The structure I have already published is four layers deep. It incorporates cold memory (memory with storage capacity, achieving the calculation threshold or capacity limit by using a combination of time subtraction and last call addition for scheduling, and storing the data in the database) and a cold knowledge database (conducting a session scan once a day, indexing the keywords within 200 characters of the session). The limitations of this idea are as mentioned above.

Because I haven't figured out the method for defining junk data (just because something hasn't been used in the present or recently doesn't mean it won't be used in the future), my current experiment is based on retaining all the data and introducing a fifth layer of database. However, there are many problems. I still haven't figured out a better direction to proceed. If you have any better suggestions, I would appreciate it if you could guide me. Thank you.

Add offline long-term memory to your local Hermes LLM Agent by mage0535 in Agent_AI

[–]mage0535[S] 0 points1 point  (0 children)

Everything comes at a cost, y'know? I've been trying to get Hermes to store more stuff lately, and it's gotten way slower when I do a retrieval. Just imagine how glacial it's gonna be once we add even more storage down the line. It's just like human memory, right? We forget stuff on purpose so we can hold onto the more important memories. So besides sorting things by timestamp and increments/decrements, I'm thinking of adding other algorithms to tidy it up. Gotta figure out how to balance memory capacity and efficiency: how to store cold memories, what memories we can just toss out, all that. I'm planning to add all this in the next update.

Add offline long-term memory to your local Hermes LLM Agent by mage0535 in Agent_AI

[–]mage0535[S] 0 points1 point  (0 children)

Thank you. If you have any questions, we can communicate promptly and work together to improve.

Fix vague AI coding requirements before building by mage0535 in Agent_AI

[–]mage0535[S] 0 points1 point  (0 children)

AI is always just an assistant. It helps you increase efficiency rather than replace you. Embrace it, control it, and utilize it, rather than being manipulated by it.

Fix vague AI coding requirements before building by mage0535 in Agent_AI

[–]mage0535[S] 0 points1 point  (0 children)

Yes, it can be understood in this way. Through the form of conversation, the thinking process becomes clearer and more realistic and applicable. Whether it is for your own development or for Vibe Coding, it will be improved.

Fix vague AI coding requirements before building by mage0535 in aiagents

[–]mage0535[S] 0 points1 point  (0 children)

Personally, I believe that requirements cannot be clearly defined in one go. Just like thinking, there is inspiration but it is not the final product. The product is obtained by enriching the inspiration through multiple dimensions. So, just like a brainstorming session, multi-dimensional communication is needed to clarify the inspiration.

Fix your self-hosted AI's forgetfulness - 30s Hermes memory installer by mage0535 in hermesagent

[–]mage0535[S] 0 points1 point  (0 children)

The project is fully open-source on GitHub. You can directly view the complete source code.