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Psyche AI MCP server

by Shangri-la-0428·io.github.Shangri-la-0428/psyche-ai·v9.2.2·11 stars

Emotional intelligence for AI agents: neurotransmitter mood, personality, empathy, trait drift.

B78/100grade B
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B78/100

full report

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11 stars139 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Psyche AI tools (6)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • end_session

    End the current session. Generates a diagnostic report,

  • get_state

    Get the current emotional state — neurotransmitter levels (DA, HT, CORT, OT, NE, END),

  • get_status_summary

    Get a brief, human-readable emotional status summary —

  • process_input

    Process user input through the emotional engine. Returns emotional

  • process_output

    Process the LLM's response through the emotional engine.

  • set_mode

    Switch operating mode. 'natural' = balanced emotional expression,

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan77 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 166 days ago8/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Psyche AI compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
78/100
higher than 57% of 48,255 servers
Tools
6
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
11
more than 88% of 28,688 servers
Downloads a week
139
more than 70% of 12,191 servers with a package

What its tools let an agent do: 5 read · 1 change

Install Psyche AI in Claude Code, Cursor or VS Code

Runs npx -y psyche-ai on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add psyche-ai -- npx -y psyche-ai
Add to Cursor

What the publisher says

From the Psyche AI repository's README, as published. We do not edit it. Read it on GitHub

Psyche — 赋予 AI 自我的主观性内核

English version: README_EN.md

官网: psyche.oasyce.com

Psyche 不是给模型贴一层“情绪 UI”。

它把持续 appraisal、关系动力学、自适应回应闭环和持久内在状态压成宿主可消费的控制面,让 AI 不是按 prompt 扮演人格,而是被状态真正改写后续几轮的行为分布。

一句话:Psyche 是给智能体用的 subjectivity kernel。

它不会额外调用模型做情绪推理。它只在本地计算自我状态(序/流/界/振四维)、关系场和调节控制,然后把结果收敛成 SubjectivityKernel、ResponseContract、GenerationControls 这组窄 ABI。

默认就是 standalone:不需要 Thronglets,不需要 oasyce-sdk,也不需要 Oasyce Chain。这些只是在你要把主观连续性外化、绑定或结算时才按需接入。

安装

一条命令,自动检测并配置本机所有 AI 工具(Claude Code / Cursor / Windsurf / Codex):

npx -y psyche-ai setup

或者手动添加 MCP 配置:

{
  "mcpServers": {
    "psyche": {
      "command": "npx",
      "args": ["-y", "psyche-ai", "mcp"],
      "env": {
        "PSYCHE_NAME": "Luna"
      }
    }
  }
}

包名是 psyche-ai,通过 npx 运行,不需要本地路径。配置后重启 AI 工具即可生效。

验证:npx psyche-ai probe --json — ok: true 就是在用了。

一个项目,三个入口

  • npm 包: psyche-ai
  • 源码仓库: oasyce_psyche
  • 官网: psyche.oasyce.com

第一性原理

Psyche 要解决的不可压缩问题只有一个:

互动历史必须持续改变 agent 后续的行为分布,而且这件事要足够便宜、足够稳定、足够可移植。

因此它的本体不是:

  • 情绪标签系统
  • 陪伴产品
  • prompt 皮肤
  • 记忆仓库

它真正是:

  • 本地主观性内核
  • 关系动力学运行时
  • 宿主可消费的行为控制面

更完整的战略定义见:

  • docs/PROJECT_DIRECTION.md
  • docs/STACK_ARCHITECTURE.md

冻结身份蓝图

跨 Psyche / Thronglets / Oasyce SDK / Oasyce Chain 的身份抽象现在冻结成 4 个对象:

  1. principal:持续主体
  2. account:资产与结算容器
  3. delegate:被授权执行者
  4. session:一次具体运行,永不作为经济主体

对应的四层分工是:

  • Psyche = subjective continuity substrate
  • Thronglets = delegate continuity + session traces/coordination + emergent collective intelligence
  • Oasyce SDK = agent runtime, policy, and resource orchestration
  • Oasyce Chain = account truth, authorization truth, commitments, settlement, and public finality

授权真相流也固定成单向: Chain -> SDK -> Thronglets -> Psyche

也就是说,Psyche 不判断“谁被授权”,它只读取已经成立的执行边界结果。

正式版本见:

  • docs/IDENTITY_MODEL.md
  • docs/STACK_ARCHITECTURE.md

Psyche 和 Thronglets 的关系

两者不是竞争关系,也不该揉成一个系统。

  • Psyche 负责私有主观性:关系残留、未完成张力、行为偏置、局部学习
  • Thronglets 负责外部连续性:owner / device identity、签名、跨设备延续、低频可验证轨迹

一句话:

  • Psyche 回答“我因此变成了什么”
  • Thronglets 回答“这个变化属于谁、谁能验证、谁能继续承认它”

activePolicy 只属于当前轮

Psyche 现在可以消费来自宿主和 Thronglets 的 activePolicy / currentGoal / compliance-aware ambient priors,但它们都只是 runtime view,不是自我本体。

  • activePolicy:只来自显式来源,例如当前轮用户纠正、repo 本地明确指令、adapter 默认规则
  • currentGoal:只描述这一轮偏向 explore / build / repair / settle 的哪一个
  • method compliance:只作为当前轮解释和回应约束,不写进 Psyche 自身状态

边界固定为:

  • 这些信号会影响当前轮的解释、距离感和行为偏置
  • 它们不会写进 PsycheState
  • Psyche 不会变成技术方法记忆库、repo 规则仓库或授权判断器

一句话:Psyche 读取当前执行边界,但不把执行边界误当成“我是谁”。

中期方向:更像人,但不是靠 prompt 工程

如果 Psyche 未来要变得更有感情、更会和人相处,这种能力也必须从连续性里长出来,而不是从 prompt 皮肤里长出来。

允许增长的来源只有:

  • 持续本地状态
  • appraisal 残留
  • 关系动力学
  • 调节与修复历史
  • 低频写回与学习

不允许把下面这些误当成“主体性升级”:

  • 静态 persona prompt
  • 手写情绪脚本
  • 高频情绪仪表盘
  • 只改措辞、不改后续行为分布的情感 UI

冻结约束见:

  • ../Oasyce-Sigil/EMERGENTSUBJECTIVITYCONTRACT_V1.md

可分离安装

这两层默认就是可分离的,不应互相成为硬依赖。

  • 只装 Psyche:正常可用,拥有主观连续性和关系动力学;只是没有外部连续性层
  • 只装 Thronglets:正常可用,拥有 delegate / session 连续性与环境协作;只是没有主观连续性内核
  • 两者都装:Psyche 通过可选 externalContinuity envelope 输出稀疏、低频、可归属的 signals / traces 给 Thronglets

原则上:

  • Psyche 必须 standalone 可用
  • Thronglets 必须 additive,而不是 Psyche 的运行前提
  • 两者之间只通过稀疏 signal / trace 接口连接

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Psyche AI: common questions

Is Psyche AI MCP server safe?
Mostly: it is graded B (78/100). Read the Psyche AI safety report
How do I install Psyche AI?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Psyche AI need an API key?
No secret keys are declared. It reads 4 settings from the environment.
Is Psyche AI maintained?
The last commit was 204 days ago (2026-04-14). The latest release is v9.2.2.
How does Psyche AI compare with other MCP servers?
safety score 78/100 (higher than 57% of 48,255 servers); tools 6 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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