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docs: Add transparency features for prompts and memory systems (#2902)

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* docs: Fix major memory system documentation issues - Remove misleading deprecation warnings, fix confusing comments, clearly separate three memory approaches, provide accurate examples that match implementation

* fix: Correct broken image paths in README - Update crewai_logo.png and asset.png paths to point to docs/images/ directory instead of docs/ directly

* docs: Add system prompt transparency and customization guide - Add 'Understanding Default System Instructions' section to address black-box concerns - Document what CrewAI automatically injects into prompts - Provide code examples to inspect complete system prompts - Show 3 methods to override default instructions - Include observability integration examples with Langfuse - Add best practices for production prompt management

* docs: Fix implementation accuracy issues in memory documentation - Fix Ollama embedding URL parameter and remove unsupported Cohere input_type parameter

* docs: Reference observability docs instead of showing specific tool examples

* docs: Reorganize knowledge documentation for better developer experience - Move quickstart examples right after overview for immediate hands-on experience - Create logical learning progression: basics → configuration → advanced → troubleshooting - Add comprehensive agent vs crew knowledge guide with working examples - Consolidate debugging and troubleshooting in dedicated section - Organize best practices by topic in accordion format - Improve content flow from simple concepts to advanced features - Ensure all examples are grounded in actual codebase implementation

* docs: enhance custom LLM documentation with comprehensive examples and accurate imports

* docs: reorganize observability tools into dedicated section with comprehensive overview and improved navigation

* docs: rename how-to section to learn and add comprehensive overview page

* docs: finalize documentation reorganization and update navigation labels

* docs: enhance README with comprehensive badges, navigation links, and getting started video
This commit is contained in:
Tony Kipkemboi
2025-05-27 13:08:40 -04:00
committed by João Moura
parent e4e9bf343a
commit c90272d601
39 changed files with 2241 additions and 1172 deletions
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README.md
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@@ -1,27 +1,70 @@
<div align="center">
<p align="center">
<a href="https://github.com/crewAIInc/crewAI">
<img src="docs/images/crewai_logo.png" width="600px" alt="Open source Multi-AI Agent orchestration framework">
</a>
</p>
<p align="center" style="display: flex; justify-content: center; gap: 20px; align-items: center;">
<a href="https://trendshift.io/repositories/11239" target="_blank">
<img src="https://trendshift.io/api/badge/repositories/11239" alt="crewAIInc%2FcrewAI | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/>
</a>
</p>
![Logo of CrewAI](./docs/images/crewai_logo.png)
<p align="center">
<a href="https://crewai.com">Homepage</a>
·
<a href="https://docs.crewai.com">Docs</a>
·
<a href="https://app.crewai.com">Start Cloud Trial</a>
·
<a href="https://blog.crewai.com">Blog</a>
·
<a href="https://community.crewai.com">Forum</a>
</p>
</div>
<p align="center">
<a href="https://github.com/crewAIInc/crewAI">
<img src="https://img.shields.io/github/stars/crewAIInc/crewAI" alt="GitHub Repo stars">
</a>
<a href="https://github.com/crewAIInc/crewAI/network/members">
<img src="https://img.shields.io/github/forks/crewAIInc/crewAI" alt="GitHub forks">
</a>
<a href="https://github.com/crewAIInc/crewAI/issues">
<img src="https://img.shields.io/github/issues/crewAIInc/crewAI" alt="GitHub issues">
</a>
<a href="https://github.com/crewAIInc/crewAI/pulls">
<img src="https://img.shields.io/github/issues-pr/crewAIInc/crewAI" alt="GitHub pull requests">
</a>
<a href="https://opensource.org/licenses/MIT">
<img src="https://img.shields.io/badge/License-MIT-green.svg" alt="License: MIT">
</a>
</p>
<p align="center">
<a href="https://pypi.org/project/crewai/">
<img src="https://img.shields.io/pypi/v/crewai" alt="PyPI version">
</a>
<a href="https://pypi.org/project/crewai/">
<img src="https://img.shields.io/pypi/dm/crewai" alt="PyPI downloads">
</a>
<a href="https://twitter.com/crewAIInc">
<img src="https://img.shields.io/twitter/follow/crewAIInc?style=social" alt="Twitter Follow">
</a>
</p>
### Fast and Flexible Multi-Agent Automation Framework
CrewAI is a lean, lightning-fast Python framework built entirely from
scratch—completely **independent of LangChain or other agent frameworks**.
It empowers developers with both high-level simplicity and precise low-level
control, ideal for creating autonomous AI agents tailored to any scenario.
> CrewAI is a lean, lightning-fast Python framework built entirely from scratch—completely **independent of LangChain or other agent frameworks**.
> It empowers developers with both high-level simplicity and precise low-level control, ideal for creating autonomous AI agents tailored to any scenario.
- **CrewAI Crews**: Optimize for autonomy and collaborative intelligence.
- **CrewAI Flows**: Enable granular, event-driven control, single LLM calls for precise task orchestration and supports Crews natively
With over 100,000 developers certified through our community courses at
[learn.crewai.com](https://learn.crewai.com), CrewAI is rapidly becoming the
With over 100,000 developers certified through our community courses at [learn.crewai.com](https://learn.crewai.com), CrewAI is rapidly becoming the
standard for enterprise-ready AI automation.
# CrewAI Enterprise Suite
CrewAI Enterprise Suite is a comprehensive bundle tailored for organizations
that require secure, scalable, and easy-to-manage agent-driven automation.
CrewAI Enterprise Suite is a comprehensive bundle tailored for organizations that require secure, scalable, and easy-to-manage agent-driven automation.
You can try one part of the suite the [Crew Control Plane for free](https://app.crewai.com)
@@ -35,21 +78,9 @@ You can try one part of the suite the [Crew Control Plane for free](https://app.
- **24/7 Support**: Dedicated enterprise support to ensure uninterrupted operation and quick resolution of issues.
- **On-premise and Cloud Deployment Options**: Deploy CrewAI Enterprise on-premise or in the cloud, depending on your security and compliance requirements.
CrewAI Enterprise is designed for enterprises seeking a powerful,
reliable solution to transform complex business processes into efficient,
CrewAI Enterprise is designed for enterprises seeking a powerful, reliable solution to transform complex business processes into efficient,
intelligent automations.
<h3>
[Homepage](https://www.crewai.com/) | [Documentation](https://docs.crewai.com/) | [Chat with Docs](https://chatg.pt/DWjSBZn) | [Discourse](https://community.crewai.com)
</h3>
[![GitHub Repo stars](https://img.shields.io/github/stars/joaomdmoura/crewAI)](https://github.com/crewAIInc/crewAI)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
</div>
## Table of contents
- [Why CrewAI?](#why-crewai)
@@ -88,7 +119,12 @@ CrewAI empowers developers and enterprises to confidently build intelligent auto
## Getting Started
### Learning Resources
Setup and run your first CrewAI agents by following this tutorial.
[![CrewAI Getting Started Tutorial](https://img.youtube.com/vi/-kSOTtYzgEw/hqdefault.jpg)](https://www.youtube.com/watch?v=-kSOTtYzgEw "CrewAI Getting Started Tutorial")
###
Learning Resources
Learn CrewAI through our comprehensive courses: