whisper-small

Speech-to-text for Dakera · a verified mirror by Dakera, the self-hosted memory engine for AI agents

An unmodified, checksum-verified copy of the files Dakera uses from 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 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	614.9 MB
onnx/encoder_model.onnx	onnx-community/whisper-small	352.8 MB
tokenizer.json	onnx-community/whisper-small	2.5 MB

SHA-256 checksums

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). For what the model does, how it was trained and how to cite it, see the original model card.

About Dakera

Dakera 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.

docker run -p 3000:3000 -e DAKERA_ROOT_API_KEY=dk-mykey ghcr.io/dakera-ai/dakera:latest

🌐 Website	dakera.ai
📚 Documentation	dakera.ai/docs
💻 GitHub	github.com/Dakera-AI
🚀 Self-hosting (Docker, Kubernetes, Helm)	dakera-deploy
🔌 MCP server	dakera-mcp
🧰 SDKs	Python · TypeScript · Go · Rust
💼 LinkedIn	Dakera AI

Questions or feedback: amine@dakera.ai.