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Aifeels Spec

MCP Server

Aifeels是一种开放标准,用于定义自主AI代理如何跟踪和管理自身的情感状态,以指导其自主决策。

工具数

0

提示词数

0

GitHub Stars

6

资源数

0
AI代理工作流自动化模型集成

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

作者 / 组织

aifeels-org

提供方

aifeels-org

最后核验

2026/5/17 20:19

快速接入

先看主来源和安装命令,再打开仓库或文档;下面只保留这个条目的关键接入事实。

详细介绍

Aifeels Specification

An open standard for emotional state in agentic AI systems

Overview

Aifeels is a vendor-neutral, open specification that defines how autonomous AI agents track and manage their own emotional state. Unlike sentiment analysis tools that infer emotion from text, Aifeels provides a standardized system for agents to maintain emotional signals (frustration, trust, urgency, stress, caution) that guide autonomy decisions.

This enables agents to:

  • Self-regulate based on task success/failure patterns
  • Make deterministic, auditable decisions about when to escalate
  • Coordinate autonomy across multi-step workflows
  • Maintain transparency about their decision-making process

Current Status

Version: 0.1.0 (Draft)

  • ✅ Core specification complete
  • ✅ Five emotional primitives defined
  • ✅ Event-driven state transitions
  • ✅ MCP integration specified
  • 🚧 Reference implementation in progress
  • 🚧 Community review period

Problem Statement

Modern autonomous agents face a critical gap: they can infer emotion from text, but they don't maintain their own emotional state as a decision signal. This leads to:

  • Runaway loops: Agents repeatedly attempt failing tasks without self-awareness
  • Arbitrary escalation: Handoff timing is ad-hoc, not systematic
  • Non-auditable decisions: No clear record of why an agent stopped or escalated
  • Coordination failures: Agents in multi-step workflows can't share autonomy context

Aifeels solves this by making emotional state a first-class primitive in agentic systems.

Specification

The complete normative specification is available in SPEC.md.

Quick Example

{
  "frustration": 0.75,
  "trust": 0.3,
  "urgency": 0.6,
  "stress": 0.5,
  "caution": 0.4,
  "metadata": {
    "last_updated": "2025-02-06T14:30:00Z",
    "trend": "increasing",
    "confidence": 0.9
  }
}

After three consecutive tool errors, the agent's frustration crosses the 0.70 threshold, triggering request_confirmation before proceeding. If failures continue, frustration reaches 0.80, escalating to handoff_to_human. Every state change is auditable with full event history.

Implementations

Reference Implementation (Python): https://github.com/aifeels-org/aifeels-reference *(coming soon)*

Community Implementations:

  • *None yet - be the first!*

Want to build an implementation? See docs/IMPLEMENTATION_ARCHITECTURE.md

Governance

This is an open standard governed by the community. See GOVERNANCE.md for:

  • RFC process
  • Decision-making
  • How to contribute

Contributing

See CONTRIBUTING.md for guidelines.

License

Apache 2.0 - See LICENSE

Resources

Contact

  • Issues: https://github.com/aifeels-org/aifeels-spec/issues
  • Discussions: https://github.com/aifeels-org/aifeels-spec/discussions

目录标签

目录标签

AI代理工作流自动化模型集成本地部署情感状态自主决策开放标准多步工作流

接入字段

传输方式(transport,传输协议)

未说明

鉴权方式(authType,认证方式)

none

工具数量(toolCount,工具数)

0

资源数量(resourceCount,资源数)

0

提示词数量(promptCount,提示词数)

0

权限和风险

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