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Copy file name to clipboardExpand all lines: docs/install/command-line.md
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---
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title: Kubo
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description: Using IPFS Kubo through the command-line allows you to do everything that IPFS Desktop can do, but at a more granular level, since you can specify which commands to run. Learn how to install it here.
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current-ipfs-version: v0.34.0
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current-ipfs-version: v0.34.1
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---
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# Install IPFS Kubo
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Note the following:
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- The amount of disk space your IPFS installation uses depends on how much data you're sharing. A base installation uses around 12MB of disk space.
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- You can enable automatic garbage collection via [--enable-gc](../reference/kubo/cli.md#ipfs-daemon) and adjust using [default maximum disk storage](https://github.com/ipfs/kubo/blob/v0.34.0/docs/config.md#datastorestoragemax) for data retrieved from other peers.
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- You can enable automatic garbage collection via [--enable-gc](../reference/kubo/cli.md#ipfs-daemon) and adjust using [default maximum disk storage](https://github.com/ipfs/kubo/blob/v0.34.1/docs/config.md#datastorestoragemax) for data retrieved from other peers.
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<!-- TODO: hide this footgun until https://github.com/ipfs/kubo/pull/10524 is merged and released in stable kubo
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1. Download the Linux binary from [`dist.ipfs.tech`](https://dist.ipfs.tech/#kubo).
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```bash
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ipfs --version
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> ipfs version 0.34.0
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> ipfs version 0.34.1
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```
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:::
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## Build Kubo from source
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For the current instructions on how to manually download, compile and build Kubo from source, see the [Build from Source](https://github.com/ipfs/kubo/blob/v0.34.0/README.md#build-from-source) section in the Kubo repository.
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For the current instructions on how to manually download, compile and build Kubo from source, see the [Build from Source](https://github.com/ipfs/kubo/blob/v0.34.1/README.md#build-from-source) section in the Kubo repository.
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## Determining which node to use with the command line
::: danger NEVER EXPOSE THE RPC API TO THE PUBLIC INTERNET
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When starting a container running ipfs for the first time with an empty data directory, it will call `ipfs init` to initialize configuration files and generate a new keypair. At this time, you can choose which profile to apply using the `IPFS_PROFILE` environment variable:
It is possible to initialize the container with a swarm key file (`/data/ipfs/swarm.key`) using the variables `IPFS_SWARM_KEY` and `IPFS_SWARM_KEY_FILE`. The `IPFS_SWARM_KEY` creates `swarm.key` with the contents of the variable itself, while`IPFS_SWARM_KEY_FILE` copies the key from a path stored in the variable. The `IPFS_SWARM_KEY_FILE`**overwrites** the key generated by `IPFS_SWARM_KEY`.
Copy file name to clipboardExpand all lines: docs/reference/kubo/cli.md
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# Kubo command-line
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::: tip Generated on 2025-03-20 22:58:28, from kubo 0.34.0
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This document was autogenerated from CLI help text in [kubo 0.34.0](https://github.com/ipfs/kubo/releases/tag/v0.34.0)
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::: tip Generated on 2025-03-25 22:49:15, from kubo 0.34.1
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This document was autogenerated from CLI help text in [kubo 0.34.1](https://github.com/ipfs/kubo/releases/tag/v0.34.1)
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For issues and support, check out the [generate-cli-docs.sh](https://github.com/ipfs/ipfs-docs/blob/main/docs/reference/kubo/generate-cli-docs.sh) script on GitHub.
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:::
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'local-discovery':
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Sets default values to fields affected by the server
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profile, enables discovery in local networks.
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'test':
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Reduces external interference of IPFS daemon, this
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is useful when using the daemon in test environments.
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'default-networking':
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Restores default network settings.
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Inverse profile of the test profile.
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'default-datastore':
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Configures the node to use the default datastore (flatfs).
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Read the "flatfs" profile description for more information on this datastore.
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This profile may only be applied when first initializing the node.
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'pebbleds':
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Configures the node to use the pebble high-performance datastore.
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Pebble is a LevelDB/RocksDB inspired key-value store focused on performance
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and internal usage by CockroachDB.
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You should use this datastore if:
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- You need a datastore that is focused on performance.
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- You need reliability by default, but may choose to disable WAL for maximum performance when reliability is not critical.
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- This datastore is good for multi-terabyte data sets.
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- May benefit from tuning depending on read/write patterns and throughput.
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- Performance is helped significantly by running on a system with plenty of memory.
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