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Laya — open horizontal System 1 decision models: Go server + agent CLI/MCP replacing JEV (non-autoregressive structured prediction)
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- Last pushed
- Updated Sep 2026
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Laya Go
The Go server, agent CLI and MCP for Laya - open horizontal System 1 decision models that score structured features and return ranked pattern probabilities instead of text. It ships a JEV compatibility API and a migration guide.
- Stars
- 5
- Language
- Go
- License
- MIT
- Reading time
- 3 min
- Published by
- Community
- Author
- neko233-com
- Last verified
- Oct 2026
- Languages
- Go
- Capabilities
- Open sourceSelf-hosted
Highlights
- Run laya-deploy (default 0.0.0.0:7710) and agents call decide over MCP, HTTP or CLI, taking top.id as the action; the model API and admin UI share one process.
- MCP exposes laya_health, laya_models and laya_decide, where jev_compat: true restores legacy JEV semantics on decision calls.
- The README's verify call posts features intent_change 0.9 and target_known 0.8 with top_k 3 to /v1/decide; read top.id and candidates[] from the response.
- Windows installs the autostarting LayaDeploy service via install-service.ps1 -Port 7710 under %ProgramData%\Laya; Linux and macOS use ./deploy/deploy.sh.
- Install MCP for Codex, Claude or MiMo Desktop with install-mcp.ps1 or install-mcp.sh pointing at the deploy host, then restart the agent.
Quickstart
bash
curl -s http://127.0.0.1:7710/health
curl -s http://127.0.0.1:7710/v1/decide -H 'content-type: application/json' -d '{"features":{"intent_change":0.9,"target_known":0.8},"top_k":3}'Watch out
Copy reviewed against the repo README on 2026-10-15. The README positions this server and agent integration as replacing legacy JEV and offers a compatibility API, but the digest carries no benchmark or accuracy numbers, and the microsecond-to-millisecond latency is the project's own framing.
Questions about this entry
Short answers drawn from the linked project or page.
A Go server plus agent CLI and MCP for Laya, described by its README as open horizontal System 1 decision models. Laya does not generate text: it scores structured features once and returns ranked pattern probabilities in microseconds to milliseconds.
Run laya-deploy (default 0.0.0.0:7710) and call decide through MCP, HTTP or CLI, then take top.id as the action. MCP exposes laya_health, laya_models and laya_decide, and jev_compat: true restores legacy JEV semantics on decisions.
This repo positions itself as the Go server and agent integration that replaces legacy JEV, and includes both a compatibility API and a JEV migration guide in docs/jev-migration.md. The digest carries no benchmark numbers behind the replacement claim, so treat it as the project's own positioning.
On Windows, run .\deploy\install-service.ps1 -Port 7710 as Administrator to install the autostarting LayaDeploy service under %ProgramData%\Laya. Linux and macOS use ./deploy/deploy.sh --port 7710, and from source you run go test ./... then build the three binaries.
The README suggests curl -s http://127.0.0.1:7710/health, or a decide call posting features such as intent_change 0.9 and target_known 0.8 with top_k to /v1/decide. The admin dashboard lives at http://127.0.0.1:7710/admin, using the deploy host IP on a LAN.
The README says to read top.id and candidates[]: if top is far ahead, use it; if candidates are close, pick by policy or re-ask with sharper features. That keeps the final judgment in your agent rather than guessing from a single score.
No - they only need agent access. install-mcp.ps1 or install-mcp.sh points the MCP client at the deploy host URL, for example http://192.168.x.x:7710 on a LAN, then you restart Codex, MiMo or Claude. The MCP tool name is laya.
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