awesome llm agents

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Basic Information

This repository is a curated index of LLM agent frameworks and agent development tools intended to help readers discover and evaluate projects for building language-model-driven agents. It collects a list of popular frameworks with short descriptions and highlighted capabilities, shows repository signals such as stars, forks, contributors, languages and licenses where available, and groups entries under a Frameworks section. The README lists many concrete projects and feature notes and invites contributions via issues or pull requests. The list is maintained and timestamped (last updated 2025-08-17) so readers can see recent additions and updates. The repo functions as a centralized catalogue rather than executable code or a runtime framework itself.

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Features
The README aggregates many notable frameworks and highlights per-project capabilities to enable quick comparison. Entries include frameworks like LangChain, Microsoft AutoGen, LlamaIndex, Semantic Kernel, Dify, Flowise, Auto-GPT and MetaGPT with short feature callouts. Common highlighted capabilities are role-based and multi-agent architectures, memory management and long-term memory, retrieval-augmented generation and indexing, tool and plugin integration, visual flow builders, code generation and project automation, web browsing and internet access, Model Context Protocol support, and provider/model flexibility. Each entry typically shows project metadata such as stars, forks, contributors, issues, primary language and license to help gauge activity and maturity.
Use Cases
This curated list helps developers, researchers and architects quickly survey the ecosystem of LLM agent frameworks to find tools that match their needs. It supports discovery by grouping frameworks and listing concise feature summaries and repository metrics so readers can compare capabilities like multi-agent orchestration, memory, RAG, visual editors, plugin ecosystems and code-generation support. The README lowers research overhead by surfacing ready-to-check projects and clarifying typical use cases such as autonomous agents, role-playing agents, RAG pipelines and visual flow design. The repository also facilitates community contributions by inviting issues and pull requests to keep the catalogue current.

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