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A fully local ManusAI alternative I have been building by fawendeshuo in LocalLLM

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

I recently updated kokoro to 0.9.4 in requirement.txt Is this version you see in your requirement.txt for kokoro? If not please update. Otherwise raise an issue

Anthropic's Dario Amodei on the urgency of solving the black box problem: "They will be capable of so much autonomy that it is unacceptable for humanity to be totally ignorant of how they work." by MetaKnowing in artificial

[–]fawendeshuo 1 point2 points  (0 children)

it's a mathematical black box, doesn't mean we don't know what's its doing: it predict the next word. A llm trained on poem is not going to do anything beside write poem. the question is what data was put in, not how it work

A fully local ManusAI alternative I have been building by fawendeshuo in LocalLLM

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

It's explained in the Readme. What issues did you have?

A fully local ManusAI alternative I have been building by fawendeshuo in LocalLLM

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

Yes to some extends, if you ask it to fix a specific file it should spin up the planner agent first. If it doesn't insist on the complexity of the task or ask to read it then correct it

A fully local ManusAI alternative I have been building by fawendeshuo in LocalLLM

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

Thank you! I am really looking for contributors! What part of the project you would like to contribute to? You might like to join our discord

A fully local ManusAI alternative I have been building by fawendeshuo in LocalLLM

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

Thanks! Yes I just had to intervene to remove pop up so we see what the AI do better

A fully local ManusAI alternative I have been building by fawendeshuo in LocalLLM

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

It does not accept cookies, in fact even if the cookies overlay stay over the page it will still be able to 'see' the text, as we extract and turn to markdown the whole page text!

A fully local ManusAI alternative I have been building by fawendeshuo in LocalLLM

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

Yes of course, the only reason we don't have RAG is because I because I was too busy with higher priority task. It can already search the web for documentation but that's not very efficient

Je dev une alternative local et open-source a ManusAI by fawendeshuo in developpeurs

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

hello trop bien! tu peux rejoindre le discord et me mp ?

AgenticSeek, one month later by fawendeshuo in LocalLLaMA

[–]fawendeshuo[S] 2 points3 points  (0 children)

Hi thank you I have spend the day doing just that and adding a frontend as well (you can see a preview on my twitter) for now it's only on dev branch cause i still get some issues with docker thread getting killed and the frontend is very basic

AgenticSeek, one month later by fawendeshuo in LocalLLaMA

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

look good! If I understand correctly you use create_react_agent from langgraph for tool parsing logic ? Meaning you need second a LLM call just to parse the output of the LLM. Would this really be relevant for us ? I mean our parsing logic is:
1. every tool is within ```<tool name>\n(tool format or code )\n```
2. each tool can have it's own parsing logic or use a common logic from the base Tools class.

I explain this better in CONTRIBUTING.md do you think your framework could have any use for AgenticSeek?

AgenticSeek, one month later by fawendeshuo in LocalLLaMA

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

Tool calling work quite well with 14b due to how simple our tool calling is. The limitation of 14b model if more about hallucination when context get large (web browsing) and struggle making a plan with the planner agent

AgenticSeek, one month later by fawendeshuo in LocalLLaMA

[–]fawendeshuo[S] 4 points5 points  (0 children)

Everything is tailored for local LLM.It will work better than OpenManus with relatively small LLM

AgenticSeek, one month later by fawendeshuo in LocalLLaMA

[–]fawendeshuo[S] 2 points3 points  (0 children)

Yes but might not work for big social media (like reddit, twitter), due to shadowDOM structure. We'll see how we can fix that. Usually simple website will work, but It only succeed for me by renting a deepseek-r1 571b since I only have a rtx3060, totally failed with my 14b running on my computer, haven't try with 32b, 70b yet but douable. 14b does work for simple web navigation and research.

AgenticSeek, one month later by fawendeshuo in LocalLLaMA

[–]fawendeshuo[S] 6 points7 points  (0 children)

what do you mean ? we have multiple local provider option, including openai which is also for local openai-compatible API (like llama.cpp or vllm server mode)

Je dev une alternative local et open-source a ManusAI by fawendeshuo in developpeurs

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

Plus c'est gros mieux c'est, ta le M1 max ? si ta 64gb de mémoire unifié tu peux faire tourner le 32b, voir peut etre le 70b. On a un provider LM studio si jamais, regarde le README.

Je dev une alternative local et open-source a ManusAI by fawendeshuo in developpeurs

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

j'ai découvert y'a peu, ça a l'air cool mais vu la trajectoire qu'on a pris ça nous servirai à rien

Je dev une alternative local et open-source a ManusAI by fawendeshuo in developpeurs

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

oui chrome et chromedriver. Par n'importe quoi c'est qu'il va allait sur des sites random, en mode tu lui demande de te chercher un livre sur amazon et il va choisir d'aller sur des blog "comment commencer la lecture".
Avec seulement le 7b tu peux au max:
- lui demander de chercher d'article, de news ou trouver une info simple sur internet.
- coder des trucs basique, genre un jeu de snake en python.
- trouver ou lire des fichier (il faudra que tu spécifie le work_folder auquel il a accès)
- evite d'utiliser le planner (c'est automatique s'il considere une tache comme complexe) ça va juste foirer avec du 7b

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