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awesome agents

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Basic Information

Awesome Agents is a curated, community-maintained directory of open-source tools, frameworks and products for building AI agents. The repository aggregates projects across categories such as frameworks, testing and evaluation, software development, research, conversational agents, game and simulation, knowledge management, automation, browser integrations and multimodal voice interfaces. It is organized as an entry-point for developers, researchers and teams looking to discover agent-oriented tooling and reference established projects. The README provides short descriptions and highlights of many projects, grouping them by purpose to simplify exploration of agent frameworks, orchestration systems, evaluation toolkits and application examples. The list serves as a catalog rather than a single product, collecting pointers to projects that implement agent behaviors, orchestration patterns, memory and tool integrations.

Links

Stars
970
App URL
https://github.com/kyrolabs/awesome-agents
Github Repository
https://github.com/kyrolabs/awesome-agents/blob/main/README.md

App Details

Features
The repository organizes a broad ecosystem into clear sections and curated entries. Key features include categorized lists of agent frameworks (examples include LangChain, LlamaIndex, Semantic Kernel), testing and evaluation tools, software development and research projects, conversational agents and specialized stacks for games and simulations. Each entry in the README contains a concise description and often repository signals like badges and star counts. Sections cover automation, browser-based agents, multimodal and voice frameworks, and knowledge-management solutions that enable private or local document interaction. The list highlights orchestration and multi-agent frameworks, developer-focused tools for coding and deployment, and evaluation frameworks for assessing agent performance. The README functions as a discovery and comparison index rather than packaged software.
Use Cases
This curated index helps practitioners quickly find and compare open-source agent-related projects for prototyping, development and research. By grouping projects by function and highlighting notable frameworks and toolkits, the repo reduces time spent searching the ecosystem and surfaces options for orchestration, memory, tooling and evaluation. It is useful for teams choosing a framework for production or experimentation, for researchers seeking evaluation and knowledge curation tools, and for developers interested in conversational, multimodal or browser-integrated agents. The collection also makes it easier to discover projects that focus on privacy, local document search, voice interfaces and agentic workflows, providing a centralized reference for building and deploying AI agents.

Categories

Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1009)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (764)
Productivity Tools (679)
Writing & Editing (666)

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