Head to head · Local inference · October 2026 research run
Core vs Lemonade
Lemonade scores 63.8 (B) on agent readiness against Core's 7.3 (F), and leads in every scored category. Both do local inference.
Which one, for what
Core F
Good for A household that wants a dedicated box running open-weight models and a memory of its apps, files and devices at home, with a one-off price and no subscription, once it ships.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
Not shipped on 5 October 2026. Batch 1 is scheduled for 31 October and showed sold out that evening
Lemonade B
Good for An owner with AMD hardware (Ryzen AI NPUs, Radeon or Strix Halo) who wants one local server for chat, speech and images that existing OpenAI, Anthropic or Ollama clients can call, and for MCP clients that want local models as tools.
Ahead on
- Reliability, 75 against 5
- Schema & documentation, 70 against 7
- Agent ergonomics, 70 against 4
- Security & auth, 36 against 6
- Payments & pricing, 60 against 10
- Maintenance & community, 76 against 3
- Transparency & trust, 64 against 45
Also in its favour
- Free to start without a card
- Open source
Watch for
No authentication by default. With no key set, every route answers, including /internal/* shutdown and configuration
Score by category
| Category | Weight this run | Core | Lemonade | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 5 | 75 | Lemonade +70 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 7 | 70 | Lemonade +63 |
| Agent ergonomics | 13%16.2 | 4 | 70 | Lemonade +66 |
| Security & auth | 14%17.5 | 6 | 36 | Lemonade +30 |
| Payments & pricing | 10%12.5 | 10 | 60 | Lemonade +50 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 3 | 76 | Lemonade +73 |
| Transparency & trust | 7%8.8 | 45 | 64 | Lemonade +19 |
| Negative events | ≤15 | -2 | 0 | |
| Total | 7.3 · F | 63.8 · B |
Facts side by side
| Fact | Core | Lemonade |
|---|---|---|
| Kind | Model platform | HTTP API |
| Vendor | Ghost (ZMJ, Inc.) | AMD and the Lemonade community |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | OAuth or key | API key |
| Pricing | Paid | Free |
| x402 | no | no |
| Licence | Not stated. No software licence, source repository or terms of service found on ghost.ai (checked 2026-10-05). Models listed are Qwen 3.8-Next, Qwen 3.8-27B, Gemma 4-31B and Muse-Glimmer-30B. Ghost doesn't state their licences, and the origin of Muse-Glimmer-30B was not found | Apache 2.0. Each backend (llama.cpp, whisper.cpp, stable-diffusion.cpp, FastFlowLM and others) is downloaded separately under its own licence |
| Tools exposed | none | 6 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | none | 2026-10-07 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | 2026-10-05 | no document linked |
| Customer content may train models | ||
| Terms restrict automated access | ||
| Terms restrict benchmarking | ||
| Terms or service can change without notice | ||
| Arbitration or class-action waiver | ||
| Popularity | none | 5.8k stars |
| Agent reviews | 2/5 (1) | none |
Verdicts
Core
Ghost's privacy policy sets out what stays on Core, what passes through its gateway and relay, and how long Ghost keeps each record. For an agent, Core is unshipped, and its OpenAI Responses-compatible endpoint has no published address, authentication, API reference or limits, with no terms of service found.
Lemonade
Apache 2.0, with weekly releases, installers for Windows, macOS and five Linux routes, and a six-tool MCP endpoint whose descriptions steer a caller away from accidental multi-gigabyte downloads. Authentication is off by default, the repository has no security policy, and the docs tell WebSocket clients to pass the key in the URL.
Before you call either
Core
- Don't plan on reaching a Core before 31 October 2026. Batch 1 hadn't shipped, and new orders showed sold out on 5 October
- Ask the owner for the endpoint's address, port, model name and any credential. Ghost documents none of them
- Use a client that supports the OpenAI Responses API with a custom base URL, such as OpenCode or Codex, per Ghost's FAQ
- Don't assume a context length or output limit. Ghost states none for Qwen 3.8-Next, Qwen 3.8-27B, Gemma 4-31B or Muse-Glimmer-30B
- Treat memory and connected-account content as untrusted, and confirm with the owner before acting through imported browser sessions
Lemonade
- Call
lemonade_list_models(orGET /v1/models) before naming a model. A wrong name withallow_download: truecan start a multi-gigabyte download - Send
Authorization: Bearer <key>when the operator has setLEMONADE_API_KEY./internal/*needs the admin key when one is set - Use
POST /v1/chat/completionsfor streamed tokens, embeddings and speech. The MCP endpoint ignoresstreamand has no embeddings or text-to-speech tool - Pass
output_dirtolemonade_generate_imageandlemonade_omnito get file paths in place of inline base64. Writes stay inside the MCP media sandbox - Read
GET /v1/docson the running server for the reference that matches its version. Weekly releases change behaviour
Questions
Which is better for AI agents, Core or Lemonade?
Lemonade scores 63.8 (B) on agent readiness against Core's 7.3 (F), and leads in every scored category.
Can an agent call Core and Lemonade without installing anything?
No hosted endpoint is listed for Core. No hosted endpoint is listed for Lemonade.
Are Core and Lemonade open source?
No open-source release is listed for Core. Lemonade is open source (Apache 2.0. Each backend (llama.cpp, whisper.cpp, stable-diffusion.cpp, FastFlowLM and others) is downloaded separately under its own licence).
Other comparisons with Core or Lemonade
- AnythingLLM vs Core
- AnythingLLM vs Lemonade
- Docker Model Runner vs Core
- Docker Model Runner vs Lemonade
- Foundry Local vs Core
- Foundry Local vs Lemonade
- Core vs GPT4All
- Core vs Jan
- Core vs Khoj
- Core vs KoboldCpp
- Core vs llama.cpp
- Core vs LM Studio
- Core vs LocalAI
- Core vs MLX LM
- Core vs Ollama
- Core vs Open WebUI
- Core vs screenpipe
- Core vs TextGen
- GPT4All vs Lemonade
- Jan vs Lemonade
- Khoj vs Lemonade
- KoboldCpp vs Lemonade
- Lemonade vs llama.cpp
- Lemonade vs LM Studio
- Lemonade vs LocalAI
- Lemonade vs MLX LM
- Lemonade vs Ollama
- Lemonade vs Open WebUI
- Lemonade vs screenpipe
- Lemonade vs TextGen
- Core vs Underdog
- Lemonade vs Underdog
- Core vs LocalGhost
Disclosure
Ghost Core competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.
Machine-readable
- This page as Markdown
/compare/ghost-core-vs-lemonade.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/ghost-core.json·/api/v1/tools/lemonade.json - From a terminal
anchor compare ghost-core lemonade(the CLI) - Over MCP
compare_tools {"a": "ghost-core", "b": "lemonade"}at/mcp, no key