From 1e26d516b9ed6a34236d0019d6cc330fc3645a4a Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 22 Jun 2026 09:38:09 +0200 Subject: [PATCH] chore: sync content to repo (#10094) Co-authored-by: nilbuild <4921183+nilbuild@users.noreply.github.com> --- .../ai-agents/content/agno@PY5WTJgRnXiYeOM6BBUvn.md | 9 +++++++++ .../content/langgraph@O53AvUSRB5SI6hhwKxniL.md | 10 ++++++++++ .../content/multi-agents@FjAYD6ZhAuPcS6gbvBBtE.md | 9 +++++++++ .../self-critique-agents@hBW8-z72NcETDn_cearYc.md | 8 ++++++++ .../content/tool-definition@qakbxB8xe7Y8gejC5cZnK.md | 4 ++-- 5 files changed, 38 insertions(+), 2 deletions(-) create mode 100644 src/data/roadmaps/ai-agents/content/agno@PY5WTJgRnXiYeOM6BBUvn.md create mode 100644 src/data/roadmaps/ai-agents/content/langgraph@O53AvUSRB5SI6hhwKxniL.md create mode 100644 src/data/roadmaps/ai-agents/content/multi-agents@FjAYD6ZhAuPcS6gbvBBtE.md create mode 100644 src/data/roadmaps/ai-agents/content/self-critique-agents@hBW8-z72NcETDn_cearYc.md diff --git a/src/data/roadmaps/ai-agents/content/agno@PY5WTJgRnXiYeOM6BBUvn.md b/src/data/roadmaps/ai-agents/content/agno@PY5WTJgRnXiYeOM6BBUvn.md new file mode 100644 index 000000000..b718d6848 --- /dev/null +++ b/src/data/roadmaps/ai-agents/content/agno@PY5WTJgRnXiYeOM6BBUvn.md @@ -0,0 +1,9 @@ +# Agno + +Agno is a Python framework designed to streamline the process of building AI agents. It offers tools and abstractions that simplify tasks such as agent planning, tool use, and memory management, making it easier to create sophisticated and functional AI agents without managing low-level implementation details. It emphasizes modularity and composability, enabling developers to easily integrate different components and customize agent behavior. + +Visit the following resources to learn more: + +- [@official@Agno Docs](https://docs.agno.com/) +- [@opensource@agno](https://github.com/agno-agi/agno) +- [@video@Building Your First Agent With AGNO AGI ( Previously Phidata ) | For Complete Begineers](https://www.youtube.com/watch?v=s7Kkc6vA2K0) \ No newline at end of file diff --git a/src/data/roadmaps/ai-agents/content/langgraph@O53AvUSRB5SI6hhwKxniL.md b/src/data/roadmaps/ai-agents/content/langgraph@O53AvUSRB5SI6hhwKxniL.md new file mode 100644 index 000000000..79ad81596 --- /dev/null +++ b/src/data/roadmaps/ai-agents/content/langgraph@O53AvUSRB5SI6hhwKxniL.md @@ -0,0 +1,10 @@ +# LangGraph + +LangGraph is a Python library designed to help developers create robust and stateful conversational AI applications, often referred to as AI Agents. It allows you to structure complex agent workflows by defining states (data held throughout the conversation) and edges (transitions between states based on agent decisions or external events), creating a graph-like representation of the agent's reasoning process. This makes it easier to manage the flow of conversations and build more reliable and explainable AI agents. + +Visit the following resources to learn more: + +- [@official@LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview?_gl=1*wnuiny*_gcl_au*MTI0NjQ3NzM5NS4xNzczMDQ5NDY2*_ga*MTgwMzY5ODQ5OS4xNzczMDQ5NDY2*_ga_47WX3HKKY2*czE3NzMwNDk0NjYkbzEkZzAkdDE3NzMwNDk0NjYkajYwJGwwJGgw) +- [@opensource@langgraph](https://github.com/langchain-ai/langgraph) +- [@article@LangGraph 101: Let’s Build A Deep Research Agent](https://towardsdatascience.com/langgraph-101-lets-build-a-deep-research-agent/?utm_source=roadmap&utm_medium=Referral&utm_campaign=TDS+roadmap+integration) +- [@video@LangChain vs LangGraph: A Tale of Two Frameworks](https://www.youtube.com/watch?v=qAF1NjEVHhY&pp=ygUWbGFuZ2dyYXBoIHZzIGxhbmdjaGFpbg%3D%3D) \ No newline at end of file diff --git a/src/data/roadmaps/ai-agents/content/multi-agents@FjAYD6ZhAuPcS6gbvBBtE.md b/src/data/roadmaps/ai-agents/content/multi-agents@FjAYD6ZhAuPcS6gbvBBtE.md new file mode 100644 index 000000000..6e928c14d --- /dev/null +++ b/src/data/roadmaps/ai-agents/content/multi-agents@FjAYD6ZhAuPcS6gbvBBtE.md @@ -0,0 +1,9 @@ +# Multi-Agents + +Multi-agent systems involve multiple autonomous agents that interact with each other to achieve individual or collective goals. These agents can collaborate, compete, or coordinate their actions within a shared environment. The interactions between these agents can lead to emergent behaviors and solutions that are more complex and sophisticated than what a single agent could achieve on its own. + +Visit the following resources to learn more: + +- [@article@Guide to multi-agent systems (MAS)](https://cloud.google.com/discover/what-is-a-multi-agent-system) +- [@article@What is multi-agent collaboration?](https://www.ibm.com/think/topics/multi-agent-collaboration) +- [@video@Multi Agent Systems Explained: How AI Agents & LLMs Work Together](https://www.youtube.com/watch?v=sWH0T4Zez6I) \ No newline at end of file diff --git a/src/data/roadmaps/ai-agents/content/self-critique-agents@hBW8-z72NcETDn_cearYc.md b/src/data/roadmaps/ai-agents/content/self-critique-agents@hBW8-z72NcETDn_cearYc.md new file mode 100644 index 000000000..2421071a5 --- /dev/null +++ b/src/data/roadmaps/ai-agents/content/self-critique-agents@hBW8-z72NcETDn_cearYc.md @@ -0,0 +1,8 @@ +# Self-Critique Agents + +Self-critique agents are a type of AI agent designed to evaluate and improve their own performance. They work by generating outputs, then analyzing those outputs to identify weaknesses or errors. Based on this self-analysis, the agent refines its approach and attempts to produce better results in subsequent iterations. This cycle of generation, critique, and refinement allows the agent to learn and adapt over time, improving its ability to solve problems or complete tasks effectively. + +Visit the following resources to learn more: + +- [@article@Reflection Agents](https://blog.langchain.com/reflection-agents/) +- [@article@How Do Agents Learn from Their Own Mistakes? The Role of Reflection in AI](https://huggingface.co/blog/Kseniase/reflection) \ No newline at end of file diff --git a/src/data/roadmaps/ai-agents/content/tool-definition@qakbxB8xe7Y8gejC5cZnK.md b/src/data/roadmaps/ai-agents/content/tool-definition@qakbxB8xe7Y8gejC5cZnK.md index f477d8482..ef499e536 100644 --- a/src/data/roadmaps/ai-agents/content/tool-definition@qakbxB8xe7Y8gejC5cZnK.md +++ b/src/data/roadmaps/ai-agents/content/tool-definition@qakbxB8xe7Y8gejC5cZnK.md @@ -4,5 +4,5 @@ A tool is any skill or function that an AI agent can call to get a job done. It Visit the following resources to learn more: -- [@article@Understanding the Agent Function in AI: Key Roles and Responsibilities](https://pingax.com/ai/agent/function/understanding-the-agent-function-in-ai-key-roles-and-responsibilities/) -- [@article@What is an AI Tool?](https://www.synthesia.io/glossary/ai-tool) \ No newline at end of file +- [@article@What are Tools?](https://huggingface.co/learn/agents-course/en/unit1/tools) +- [@article@Understanding the Agent Function in AI: Key Roles and Responsibilities](https://genezio.com/blog/ai-agents-101-understanding-their-role-and-functionality/) \ No newline at end of file