by vessl-ai · Agent Tool · ★ 52
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Hyperpocket 👛 Hyperpocket is where tools belong. Power your agent up with a pocket of tools. 👛 Introduction Hyperpocket is a tool that allows you to easily use tool and auth for agents on your machine. Start fast. Just install Hyperpocket and use it. We know you don't have time to authenticate to our server. Go securely. Not like others, you are the only one who knows your secret tokens. We do NOT. All of your secret tokens belong to your infrastructure, not ours. Power up with public tools. Without worries for tool integration, use others' tools just with copy-and-paste the link to the tool. Your tool will run on isolated environment based on WebAssembly technology, and you don't have to deal with the dependency spaghetti. Battery Included You can use popular tools and authentication providers out-of-the-box. Getting Started getting started langchain tool-calling-agent example with hyperpocket Prerequisite install hyperpocket package install playwright Configuration setting hyperpocket config in your current working directory When using Basic Auth IMPORTANT: You should update authencryptionsecretk
| Stars | 52 |
| Forks | 9 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 37.75/100 |
| Open Issues | 7 |
| Last Updated | 2025-04-11 |
| Created | 2025-01-09 |
| Platforms | python |
| Est. Tokens | ~2981k |
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hyperpocket is Building AI agent with hyperpocket tool in a flash. It is categorized as a Agent Tool with 52 GitHub stars.
hyperpocket is primarily written in Python. It covers topics such as agentic-ai, ai-agents, hyperpocket.
You can find installation instructions and usage details in the hyperpocket GitHub repository at github.com/vessl-ai/hyperpocket. The project has 52 stars and 9 forks, indicating an active community.
hyperpocket is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hyperpocket on Agent Skills Hub include ToolRegistry, forgemax, eval-view. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.