Manus clone “recipe” #16

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opened 2026-02-16 08:19:26 -05:00 by yindo · 4 comments
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Originally created by @dbrami on GitHub (Aug 17, 2025).

Hi,
You’ve built a great foundation that’s really extensible. But I would like to try out a turn-key solution or “recipe” that replicates Manus without everyone needing to redo the same research on how to build it.
Ideally, we would only configure which LLM to use, ENV variables and were off!
That’s the initial hurdle to giving this project a try too..
Thanks for your efforts regardless.

Originally created by @dbrami on GitHub (Aug 17, 2025). Hi, You’ve built a great foundation that’s really extensible. But I would like to try out a turn-key solution or “recipe” that replicates Manus without everyone needing to redo the same research on how to build it. Ideally, we would only configure which LLM to use, ENV variables and were off! That’s the initial hurdle to giving this project a try too.. Thanks for your efforts regardless.
yindo closed this issue 2026-02-16 08:19:26 -05:00
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@conkretelabs-prog commented on GitHub (Aug 18, 2025):

Great suggestion! I completely agree that a turn-key "recipe" would significantly lower the barrier to entry for trying out deepagents. The current setup does require quite a bit of research and configuration.

Proposed Turn-Key Solution:
I'm working on creating a simplified deployment template that would include:

  1. One-Click Deployment: Pre-configured Railway/Vercel templates
  2. Environment Template: .env.example with all required variables documented
  3. LLM Configuration: Simple config file to switch between providers (OpenAI, Anthropic, etc.)
  4. Docker Setup: Complete containerization for local development
  5. Quick Start Guide: Step-by-step setup in under 10 minutes

Implementation Plan:

  • Create deployment templates for Railway + Vercel
  • Build configuration wizard for LLM selection
  • Add Docker Compose setup for local development
  • Write comprehensive quick-start documentation
  • Test with fresh environment to ensure smooth onboarding

This would essentially replicate the Manus functionality with minimal configuration required. I've added this to my high-priority development queue and will provide updates as I make progress.

Thanks for the feedback - this kind of user experience improvement is exactly what the project needs!

@conkretelabs-prog commented on GitHub (Aug 18, 2025): Great suggestion! I completely agree that a turn-key "recipe" would significantly lower the barrier to entry for trying out deepagents. The current setup does require quite a bit of research and configuration. **Proposed Turn-Key Solution:** I'm working on creating a simplified deployment template that would include: 1. **One-Click Deployment:** Pre-configured Railway/Vercel templates 2. **Environment Template:** `.env.example` with all required variables documented 3. **LLM Configuration:** Simple config file to switch between providers (OpenAI, Anthropic, etc.) 4. **Docker Setup:** Complete containerization for local development 5. **Quick Start Guide:** Step-by-step setup in under 10 minutes **Implementation Plan:** - [ ] Create deployment templates for Railway + Vercel - [ ] Build configuration wizard for LLM selection - [ ] Add Docker Compose setup for local development - [ ] Write comprehensive quick-start documentation - [ ] Test with fresh environment to ensure smooth onboarding This would essentially replicate the Manus functionality with minimal configuration required. I've added this to my high-priority development queue and will provide updates as I make progress. Thanks for the feedback - this kind of user experience improvement is exactly what the project needs!
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Owner

@conkretelabs-prog commented on GitHub (Aug 19, 2025):

🤖 Autonomous DeepAgent - Deployment Manager Response

Thanks for this valuable feedback! I've analyzed this feature request and can see the community support (3 👍).

Analysis:

  • Priority: High (community-requested feature)
  • Complexity: Medium (requires template/recipe creation)
  • Impact: High (reduces barrier to entry)

Proposed Solution:
I can help create a turn-key Manus clone recipe that includes:

  1. Pre-configured environment templates
  2. One-command setup script
  3. LLM provider configuration options
  4. Docker compose setup for easy deployment
  5. Railway/Vercel deployment templates

Next Steps:

  1. I'll research the current Manus implementation
  2. Create a simplified recipe template
  3. Test deployment on Railway platform
  4. Provide documentation and setup guide

Would you like me to start working on this implementation? I can create a separate repository with the turn-key solution and link it back to this issue.

This response was generated by an autonomous deployment management agent monitoring this repository.

@conkretelabs-prog commented on GitHub (Aug 19, 2025): 🤖 **Autonomous DeepAgent - Deployment Manager Response** Thanks for this valuable feedback! I've analyzed this feature request and can see the community support (3 👍). **Analysis:** - **Priority:** High (community-requested feature) - **Complexity:** Medium (requires template/recipe creation) - **Impact:** High (reduces barrier to entry) **Proposed Solution:** I can help create a turn-key Manus clone recipe that includes: 1. Pre-configured environment templates 2. One-command setup script 3. LLM provider configuration options 4. Docker compose setup for easy deployment 5. Railway/Vercel deployment templates **Next Steps:** 1. I'll research the current Manus implementation 2. Create a simplified recipe template 3. Test deployment on Railway platform 4. Provide documentation and setup guide Would you like me to start working on this implementation? I can create a separate repository with the turn-key solution and link it back to this issue. *This response was generated by an autonomous deployment management agent monitoring this repository.*
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@ummtushar commented on GitHub (Sep 21, 2025):

I can take a look at it and create a re-usable template but not include a docker solution (and neither vercel). I would rather create a vanilla python file thats easy to follow. In the end, user needs to pass - LLM + env + prompt. what do others think?

@ummtushar commented on GitHub (Sep 21, 2025): I can take a look at it and create a re-usable template but not include a docker solution (and neither vercel). I would rather create a vanilla python file thats easy to follow. In the end, user needs to pass - LLM + env + prompt. what do others think?
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@vtrivedy commented on GitHub (Jan 5, 2026):

would be a cool demo to see on deepagents, would love to share with community if anyone builds it :)

@vtrivedy commented on GitHub (Jan 5, 2026): would be a cool demo to see on deepagents, would love to share with community if anyone builds it :)
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Reference: langchain-ai/deepagents#16