yesterday
BondAI
BondAI is an open-source tool for developing AI Agent Systems. BondAI handles the implementation complexities including memory/context management, error handling, vector/semantic search and includes a powerful set of out of the box tools and integrations.
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- Source
- collected from the e2b-dev/awesome-ai-agents list · type: open-source project
- Harvest history
- first seen 2026-10-16 · last seen 2026-10-16 · seen 1× · listed by 1 sources
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
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Who maintains it?
first catalogued 2026-10-16；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals
Build highly capable Single and Multi-Agent Systems.
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
BondAI Homepage
Checkout the BondAI Homepage (https://bondai.dev) for in depth documentation, examples and API specification.
Getting Started
There are 3 ways to use BondAI:
1) 🛠️ **Command Line Interface (CLI)** - This is the easiest way to get up and running fast. Run BondAI on your command line with a pre-configured set of tools.
2) 🐋 **Docker** - Running BondAI in a Docker container is recommended if you plan on using tools that run code or directly access your shell.
3) 🏗️ **Start Coding with BondAI** - Integrate BondAI into your own codebase and start building your own agents.
🚀 Installation
Installing BondAI is easy:
🛠️ Command Line Interface (CLI)
Once you've installed BondAI using pip install bondai the CLI will be available as an executable accessible simply by running bondai in your shell. Learn more about all of the tools and options available through the CLI.
Before running bondai you will need to set the OPENAI_API_KEY environment variable.
Once the environment variable has been set you can run bondai to start the CLI.
🐋 Docker
BondAI Docker images are available on DockerHub here. If you intend to use tools that run arbitrary code (*PythonREPLTool*) or access your shell (*ShellTool*) it is highly recommended that you run BondAI in a Docker container as these tools can damage your machine.
Before running the BondAI Docker container it is recommended that you create a directory named 'agent-volume' and mount it as a volume on the container. This will be used as the Agent's working directory and allows you to easily share files with the Agent.
🔥 Start Coding with BondAI
BondAI has a straightforward API for creating powerful AI Agents. Check out our examples for ideas on how to get started. Remember to set your *OPENAI_API_KEY* environment variable before running your BondAI Agent.
BondAI Integrations
BondAI comes out of the box with a powerful set of integrations.
| | | |
| -------- | ------- |------- |
| | **OpenAI** | BondAI supports any combination of OpenAI models and services including GPT-4, GPT-3.5, Dalle-E 3, and Embeddings. |
| | **Microsoft Azure** | BondAI fully supports connectivity to GPT-N, Dalle-E and Embedding APIs through Microsoft's Azure OpenAI services. |
| | **Google Search** | Allows BondAI to search the internet. Requires a Google Search API Key and CSE ID |
Checkout the BondAI Homepage (https://bondai.dev) for in depth documentation, examples and API specification.
Getting Started
There are 3 ways to use BondAI:
1) 🛠️ **Command Line Interface (CLI)** - This is the easiest way to get up and running fast. Run BondAI on your command line with a pre-configured set of tools.
2) 🐋 **Docker** - Running BondAI in a Docker container is recommended if you plan on using tools that run code or directly access your shell.
3) 🏗️ **Start Coding with BondAI** - Integrate BondAI into your own codebase and start building your own agents.
🚀 Installation
Installing BondAI is easy:
🛠️ Command Line Interface (CLI)
Once you've installed BondAI using pip install bondai the CLI will be available as an executable accessible simply by running bondai in your shell. Learn more about all of the tools and options available through the CLI.
Before running bondai you will need to set the OPENAI_API_KEY environment variable.
Once the environment variable has been set you can run bondai to start the CLI.
🐋 Docker
BondAI Docker images are available on DockerHub here. If you intend to use tools that run arbitrary code (*PythonREPLTool*) or access your shell (*ShellTool*) it is highly recommended that you run BondAI in a Docker container as these tools can damage your machine.
Before running the BondAI Docker container it is recommended that you create a directory named 'agent-volume' and mount it as a volume on the container. This will be used as the Agent's working directory and allows you to easily share files with the Agent.
🔥 Start Coding with BondAI
BondAI has a straightforward API for creating powerful AI Agents. Check out our examples for ideas on how to get started. Remember to set your *OPENAI_API_KEY* environment variable before running your BondAI Agent.
BondAI Integrations
BondAI comes out of the box with a powerful set of integrations.
| | | |
| -------- | ------- |------- |
| | **OpenAI** | BondAI supports any combination of OpenAI models and services including GPT-4, GPT-3.5, Dalle-E 3, and Embeddings. |
| | **Microsoft Azure** | BondAI fully supports connectivity to GPT-N, Dalle-E and Embedding APIs through Microsoft's Azure OpenAI services. |
| | **Google Search** | Allows BondAI to search the internet. Requires a Google Search API Key and CSE ID |
- Source
- awesome · https://github.com/krohling/bondai
- added
- yesterday