docs: OpenAI Agents integration update (#1608)

Signed-off-by: Anush008 <anushshetty90@gmail.com>
This commit is contained in:
Anush
2025-04-30 14:10:48 +05:30
committed by GitHub
parent f7f47f0a6b
commit a93078c628
3 changed files with 130 additions and 172 deletions
@@ -34,6 +34,7 @@ aliases: ["/documentation/frameworks/memgpt/"]
| [Mirror Security](/documentation/frameworks/mirror-security/) | Python framework for vector encryption and access control. |
| [Mem0](/documentation/frameworks/mem0/) | Self-improving memory layer for LLM applications, enabling personalized AI experiences. |
| [Neo4j GraphRAG](/documentation/frameworks/neo4j-graphrag/) | Package to build graph retrieval augmented generation (GraphRAG) applications using Neo4j and Python. |
| [OpenAI Agents](/documentation/frameworks/openai-agents/) | Python framework for managing multiple AI agents that can work together. |
| [Pandas-AI](/documentation/frameworks/pandas-ai/) | Python library to query/visualize your data (CSV, XLSX, PostgreSQL, etc.) in natural language |
| [Ragbits](/documentation/frameworks/ragbits/) | Python package that offers essential "bits" for building powerful Retrieval-Augmented Generation (RAG) applications. |
| [Rig-rs](/documentation/frameworks/rig-rs/) | Rust library for building scalable, modular, and ergonomic LLM-powered applications. |
@@ -42,7 +43,6 @@ aliases: ["/documentation/frameworks/memgpt/"]
| [Solon](/documentation/frameworks/solon/) | A lightweight, high-performance Java enterprise framework |
| [Spring AI](/documentation/frameworks/spring-ai/) | Java AI framework for building with Spring design principles such as portability and modular design. |
| [Superduper](/documentation/frameworks/superduper/) | Framework for building flexible, compositional AI apps which may be applied directly to databases. |
| [Swarm](/documentation/frameworks/swarm/) | Python framework for managing multiple AI agents that can work together. |
| [Sycamore](/documentation/frameworks/sycamore/) | Document processing engine for ETL, RAG, LLM-based applications, and analytics on unstructured data. |
| [Testcontainers](/documentation/frameworks/testcontainers/) | Framework for providing throwaway, lightweight instances of systems for testing |
| [txtai](/documentation/frameworks/txtai/) | Python library for semantic search, LLM orchestration and language model workflows. |