---
license: apache-2.0
base_model: openai/whisper-small
pipeline_tag: automatic-speech-recognition
library_name: onnx
tags:
- dakera
- ai-agent-memory
- agent-memory
- long-term-memory
- rag
- self-hosted
- mcp
- onnx
- mirror
---
whisper-small
Speech-to-text for Dakera ยท a verified mirror by Dakera, the self-hosted memory engine for AI agents
> An unmodified, checksum-verified copy of the files [Dakera](https://dakera.ai) uses from [openai/whisper-small](https://huggingface.co/openai/whisper-small). The model is by **OpenAI**; all credit goes to its authors.
## In Dakera
Transcribes audio attachments into searchable memories (`DAKERA_ATTACHMENTS=true`, `DAKERA_WHISPER_MODEL=whisper-small`).
Dakera fetches this speech recognition from this repository first and from the original repositories if it is unreachable, so installs never depend on a single source. Both are checked against the same SHA-256, and the [Dakera Docker image](https://github.com/Dakera-AI/dakera-deploy) ships the default models ready to run, with no download at startup.
## Files
Copied byte for byte from:
| File | Source | Size |
|---|---|---|
| `onnx/decoder_model.onnx` | [onnx-community/whisper-small](https://huggingface.co/onnx-community/whisper-small) | 614.9 MB |
| `onnx/encoder_model.onnx` | [onnx-community/whisper-small](https://huggingface.co/onnx-community/whisper-small) | 352.8 MB |
| `tokenizer.json` | [onnx-community/whisper-small](https://huggingface.co/onnx-community/whisper-small) | 2.5 MB |
SHA-256 checksums
```text
12130ce1e82372a8e54e753d3fb4339f289470cbbe2eceb9c8bf89cb2cc6fe63 onnx/decoder_model.onnx
b37cd6625dc36f9178ec7539a1876b9680ea26a910097e092be39dc766320c7b onnx/encoder_model.onnx
27fc476bfe7f17299480be2273fc0608e4d5a99aba2ab5dec5374b4482d1a566 tokenizer.json
```
## Licence and credit
Apache-2.0, the same as the original model (see [`LICENSE`](https://huggingface.co/DakeraAI/whisper-small/blob/main/LICENSE)). For what the model does, how it was trained and how to cite it, see the [original model card](https://huggingface.co/openai/whisper-small).
## About Dakera
**[Dakera](https://dakera.ai) is a self-hosted memory engine for AI agents.** It gives agents long-term memory that survives sessions: hybrid vector and full-text retrieval, reranking, entity extraction and importance decay, in a single Rust binary that runs on your own servers, with an MCP server for Claude, Cursor and other agents.
```bash
docker run -p 3000:3000 -e DAKERA_ROOT_API_KEY=dk-mykey ghcr.io/dakera-ai/dakera:latest
```
| | |
|---|---|
| ๐ Website | [dakera.ai](https://dakera.ai) |
| ๐ Documentation | [dakera.ai/docs](https://dakera.ai/docs) |
| ๐ป GitHub | [github.com/Dakera-AI](https://github.com/Dakera-AI) |
| ๐ Self-hosting (Docker, Kubernetes, Helm) | [dakera-deploy](https://github.com/Dakera-AI/dakera-deploy) |
| ๐ MCP server | [dakera-mcp](https://github.com/Dakera-AI/dakera-mcp) |
| ๐งฐ SDKs | [Python](https://github.com/Dakera-AI/dakera-py) ยท [TypeScript](https://github.com/Dakera-AI/dakera-js) ยท [Go](https://github.com/Dakera-AI/dakera-go) ยท [Rust](https://github.com/Dakera-AI/dakera-rs) |
| ๐ผ LinkedIn | [Dakera AI](https://www.linkedin.com/company/dakera-ai) |
Questions or feedback: [amine@dakera.ai](mailto:amine@dakera.ai).