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* add dark/light mode logo support and update project documentation
* update project branding, documentation text, and repository URLs to capsulerun
* update project descriptions and documentation to emphasize untrusted code execution
* increase logo width in README.md
* add release, npm download, and star count badges to README
* update logo size and add PyPI/CI badges to README
```Capsule``` is a runtime for coordinating AI agent tasks in isolated environments. It is designed to handle untrusted code execution, long-running workflows, large-scale processing, or even multi-agent systems.
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Each task runs inside its own WebAssembly sandbox, providing:
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```Capsule``` is a runtime for executing untrusted code in isolated environments. Each task runs inside its own WebAssembly sandbox, providing:
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-**Isolated execution**: Each task runs isolated from your host system
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-**Resource limits**: Set CPU, memory, and timeout limits per task
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-**Automatic retries**: Handle failures without manual intervention
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-**Lifecycle tracking**: Monitor which tasks are running, completed, or failed
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This enables safe task-level execution of untrusted code within AI agent systems.
|[`capsule-bash`](https://github.com/capsulerun/bash)| Sandboxed bash interface built for AI agents|
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|[`capsule-bash`](https://github.com/capsulerun/bash)| Sandboxed bash interface built from capsule|
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## Getting Started
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```
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> [!TIP]
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> If you're looking for a pre-configured, ready-to-use solution, check out the [Python adapter](https://github.com/mavdol/capsule/tree/main/integrations/python-adapter) or [TypeScript adapter](https://github.com/mavdol/capsule/tree/main/integrations/typescript-adapter).
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> If you're looking for a pre-configured, ready-to-use solution, check out the [Python adapter](https://github.com/capsulerun/capsule/tree/main/integrations/python-adapter) or [TypeScript adapter](https://github.com/capsulerun/capsule/tree/main/integrations/typescript-adapter).
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## Documentation
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# capsule.toml
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[workflow]
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name = "My AI Workflow"
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name = "My Workflow"
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version = "1.0.0"
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entrypoint = "src/main.py"# Default file when running `capsule run`
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# capsule-run
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**A secure, durable runtime for agentic workflows**
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# `capsule`
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## Overview
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Capsule is a runtime for coordinating AI agent tasks in isolated environments. It is designed to handle untrusted code execution, long-running workflows, large-scale processing, or even multi-agent systems.
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Each task runs inside its own WebAssembly sandbox, providing:
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`Capsule` is a runtime for executing untrusted code in isolated environments. Each task runs inside its own WebAssembly sandbox, providing:
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-**Isolated execution**: Each task runs isolated from your host system
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-**Resource limits**: Set CPU, memory, and timeout limits per task
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-**Automatic retries**: Handle failures without manual intervention
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-**Lifecycle tracking**: Monitor which tasks are running, completed, or failed
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This enables safe task-level execution of untrusted code within AI agent systems.
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# capsule
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**A secure, durable runtime for agentic workflows**
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# `capsule`
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## Overview
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Capsule is a runtime for coordinating AI agent tasks in isolated environments. It is designed to handle untrusted code execution, long-running workflows, large-scale processing, or even multi-agent systems.
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Each task runs inside its own WebAssembly sandbox, providing:
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`Capsule` is a runtime for executing untrusted code in isolated environments. Each task runs inside its own WebAssembly sandbox, providing:
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-**Isolated execution**: Each task runs isolated from your host system
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-**Resource limits**: Set CPU, memory, and timeout limits per task
13
9
-**Automatic retries**: Handle failures without manual intervention
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10
-**Lifecycle tracking**: Monitor which tasks are running, completed, or failed
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This enables safe task-level execution of untrusted code within AI agent systems.
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