The local-first AI workstation
Run, orchestrate, and ship local LLMs, agents, and RAG — with enterprise control. Four inference engines, native MCP, and an OpenAI- and Anthropic-compatible gateway, all on hardware you own.
$ curl http://localhost:1972/v1/chat/completions \
-H "Authorization: Bearer kyn_live_…" \
-d '{ "model": "llama-3.3-70b", "stream": true,
"messages": [{ "role": "user",
"content": "Summarize this PDF." }] }'
→ streaming · 84 tok/s · Metal · 0 bytes left your deviceOne library · four engines · every accelerator
Everything the local-AI stack fragmented across six tools — unified.
Kynetra replaces the patchwork of model runners, chat UIs, RAG add-ons, and gateways with a single, production-grade workstation.
True multi-runtime inference
One model library, four engines. Kynetra auto-selects llama.cpp, vLLM, MLX, or ONNX for your hardware — CPU, CUDA, Vulkan, ROCm, or Metal — with multi-GPU tensor split.
Agents + MCP, natively
A first-class agent runtime with planning, memory, and tool calling. Act as an MCP host and an MCP server — connect tools, approve destructive actions, trace every step.
Production RAG
Ingest PDF, DOCX, PPTX, CSV, Excel, HTML, Markdown, audio and video. Hybrid dense + lexical retrieval over Qdrant and Meilisearch, cross-encoder reranking, grounded citations.
Drop-in API gateway
A local OpenAI- and Anthropic-compatible endpoint. Point your existing SDKs at localhost and run them entirely on your own models — streaming, tools, embeddings.
Enterprise control
RBAC, SSO (SAML/OIDC), LDAP, append-only audit logs, field-level encryption, and zero-trust access. Tenant isolation enforced in the database with row-level security.
Air-gapped by design
Local-first means nothing leaves the machine unless you opt in. Ship a signed offline bundle to fully disconnected, regulated environments with verified integrity.
How Kynetra compares
Other tools each solve a slice. Kynetra ships the whole surface as one coherent product.
| Capability | LM Studio | Ollama | Open WebUI | Kynetra |
|---|---|---|---|---|
| Multi-runtime (llama.cpp/vLLM/MLX/ONNX) | — | — | — | ● |
| First-class agents + tools | — | — | ● | ● |
| Native MCP host + client | — | — | ● | ● |
| OpenAI + Anthropic-compatible gateway | — | — | — | ● |
| Production hybrid RAG + rerank | — | — | — | ● |
| Visual automation builder | — | — | — | ● |
| Enterprise RBAC / SSO / audit / air-gap | — | — | — | ● |
● first-class · — absent. Based on publicly documented capabilities, early 2026.
Private by default. Enterprise when you need it.
Start as a single-user local install. Scale to a governed team control plane without changing the execution model — your models and data stay where you put them.
- Role-based access control
- SAML / OIDC SSO
- LDAP / Active Directory
- Append-only audit logs
- Field-level encryption
- Zero-trust access
- Row-level tenant isolation
- Air-gapped deployment
Own your AI stack.
Free for local use. Pro, Team, and Enterprise add collaboration, governance, and support.