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lobe chat agents

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Basic Information

This repository is the canonical index and catalog of AI chat agents used by LobeChat. It provides a centralized collection of agent definitions, example assistants, and metadata so LobeChat can display and access available agents via an index.json. The project includes instructions for submitting new agents, templates (agent-template.json and agent-template-full.json) to standardize agent manifests, and guidance for contributors to add or remove entries through forks and pull requests. The README documents hundreds of individual agents and example personas across many domains, and describes development and self-hosting workflows so individuals and teams can run a private or public agents index that LobeChat and related tooling can consume.

Links

Stars
845
App URL
https://github.com/lobehub/lobe-chat-agents
Github Repository
https://github.com/lobehub/lobe-chat-agents/blob/main/README.md

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App Details

Features
A large curated catalog listing many ready-made agents with tags, descriptions and author information. Submission templates and a step-by-step process for adding agents via pull requests, including lightweight and full template choices. Self-hosting support with deployment instructions, a Vercel deploy button, local development commands using bun and GitHub Codespaces, and notes on required environment variables. Integration signals and packaging references for consumption by LobeChat and associated tooling, plus badges, release and CI workflows, contributor guidance, and consolidated examples demonstrating agent roles, capabilities and typical configurations.
Use Cases
Users can browse and discover specialized assistants for tasks like coding, writing, tutoring, research, design and operations, enabling quick selection of agents that match their needs. Authors gain a standardized place to publish and maintain agent manifests, reach LobeChat users, and receive feedback via issues and pull requests. Developers can fork and self-host a private index or deploy the repository to services like Vercel, integrate the index into LobeChat or plugin systems, and use provided templates and scripts to validate and format agent metadata. The index lowers friction for sharing, deploying and reusing conversational agents across projects.

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