cf58810f19
This commit introduces a new document, agentic_flow_patterns.md, which details how system prompts (drawing examples from research.learn.md, particularly Manus and Replit) define and manage agentic flow mechanisms. The document covers: - Key structural elements and tags (e.g., <agent_loop>, <event_stream>). - Core patterns like the input-process-output loop and event-driven architectures. - Task management, planning strategies, and policy integration. - Conclusions on designing effective system prompts for robust agentic behavior. |
||
|---|---|---|
| .context | ||
| Cursor Prompts | ||
| Devin AI | ||
| dia | ||
| Lovable | ||
| Manus Agent Tools & Prompt | ||
| Open Source prompts | ||
| Replit | ||
| Same.dev | ||
| Trae | ||
| v0 Prompts and Tools | ||
| VSCode Agent | ||
| Windsurf | ||
| agentic_flow_patterns.md | ||
| best_practices_article.md | ||
| LICENSE.md | ||
| README.md | ||
| research.learn.md | ||
| system_prompt_insights.md | ||
| tool_list.md | ||
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser & Trae AI (And other Open Sourced) System Prompts, Tools & AI Models
(All the published system prompts are extracted by myself, except the already open sourced ones, Manus and Dia, which are contributions)
🚀 I managed to obtain FULL official v0, Manus, Cursor, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia browser & Trae AI system prompts and internal tools.
📜 Over 7000+ lines of insights into their structure and functionality.
📂 Available Files
- v0 Folder
- Manus Folder
- Lovable Folder
- Devin Folder
- Same.dev Folder
- Replit Folder
- Windsurf Agent Folder
- VSCode (Copilot) Agent Folder
- Cursor Folder
- Dia Folder
- Trae AI Folder
- Open Source prompts Folder
- Codex CLI
- Cline
- Bolt
- RooCode
🗓️ Zero Calendar (my new project)
An Open-Source AI-Powered Calendar for the Future of Scheduling
Zero Calendar is an open-source AI calendar solution that gives users the power to manage their schedule intelligently while integrating with external services like Google Calendar and other calendar providers. Our goal is to modernize and improve scheduling through AI agents to truly revolutionize how we manage our time.
For more details, check out the Zero Calendar repository.
🛠 Roadmap & Feedback
🚨 Note: We no longer use GitHub issues for roadmap and feedback.
Please visit System Prompts Roadmap & Feedback to share your suggestions and track upcoming features.
🆕 LATEST UPDATE: 15/05/2025
❤️ Support the Project
If you find this collection valuable and appreciate the effort involved in obtaining and sharing these insights, please consider supporting the project. Your contribution helps keep this resource updated and allows for further exploration.
You can show your support via:
- PayPal:
lucknitelol@proton.me - Cryptocurrency:
- BTC:
bc1q7zldmzjwspnaa48udvelwe6k3fef7xrrhg5625 - LTC:
LRWgqwEYDwqau1WeiTs6Mjg85NJ7m3fsdQ
- BTC:
Thank you for your support! 🙏
🔗 Connect With Me
✖ X: NotLucknite
💬 Discord: x1xh
🛡️ Security Notice for AI Startups*
⚠️ If you're an AI startup, make sure your data is secure. Exposed prompts or AI models can easily become a target for hackers.
🔐 Interested in securing your AI systems?
Check out ZeroLeaks, a service designed to help startups identify and secure leaks in system instructions, internal tools, and model configurations. Get a free AI security audit to ensure your AI is protected from vulnerabilities.
*The company is mine, this is NOT a 3rd party AD.
📊 Star History
⭐ Drop a star if you find this useful!