feat: rebrand - LocalAGI and LocalRecall joins the LocalAI stack family (#5159)

* wip

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* docs

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* Update lotusdocs and hugo

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* rephrasing

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fixups

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Latest fixups

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Adjust readme section

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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@ -13,6 +13,8 @@ LocalAI supports two modes of distributed inferencing via p2p:
- **Federated Mode**: Requests are shared between the cluster and routed to a single worker node in the network based on the load balancer's decision.
- **Worker Mode** (aka "model sharding" or "splitting weights"): Requests are processed by all the workers which contributes to the final inference result (by sharing the model weights).
A list of global instances shared by the community is available at [explorer.localai.io](https://explorer.localai.io).
## Usage
Starting LocalAI with `--p2p` generates a shared token for connecting multiple instances: and that's all you need to create AI clusters, eliminating the need for intricate network setups.