GraphCanon updated 4w · GitHub synced 4w
Decision brief
Blast provides open-source VMs-as-a-service for deploying AI agents and facilitating large-language-model inference, with support for Python.
Good fit when
- Use Blast if you need an open-source solution for virtual machines as a service specifically tailored to artificial intelligence agent deployment and large-language-model inference processes.
- Choose Blast when you require VMs-as-a-service that align with the MIT License, allowing broad usage rights including modification and distribution without restriction.
Avoid when
- Avoid Blast if your project requires proprietary or commercial-only solutions because it is an open-source tool governed by the MIT License.
- Do not use Blast for applications where browser-automation support alone is needed as its primary focus is on deploying AI agents and not solely on automating browsers.
- Requirements:
- Requires Docker; Ensure you have Docker installed to create and manage virtual machine instances effectively with Blast.; Python environment setup is necessary for leveraging all the features offered by this project.
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (56d since push)
- As of 4w
- Provenance
- Not a fork · Organization account
- As of 4w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install blastSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Blast is an open-source project that provides virtual machines as a service, catering to the needs of deploying artificial intelligence agents and facilitating large-language-model inference.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 25, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 25, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 25, 2026)
```python from openai import OpenAISource link
Tags
README
Quick Start
pip install blastai && blastai serve
from openai import OpenAI
client = OpenAI(
api_key="not-needed",
base_url="http://127.0.0.1:8000"
)
For agents
This page has a .md twin and JSON over the API.