KIP

@ldclabs/KIP

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0 Stars 6 次浏览 ldclabs 更新于 2026-08-23

Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction.

知识管理与记忆

MCP 服务配置

复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用

{
  "mcpServers": {
    "@ldclabs/kip-mcp-server": {
      "args": [
        "@ldclabs/kip-mcp-server@1.0.1"
      ],
      "command": "npx"
    }
  }
}

可用工具（5 个）

该服务在 MCP 协议中暴露的工具，AI 可按需调用

tavily_search 14 个参数需填 1 项 Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数：query

tavily_extract 6 个参数需填 1 项 Extract content from URLs. Returns raw page content in markdown or text format.

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数：urls

tavily_crawl 11 个参数需填 1 项 Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数：url

tavily_map 8 个参数需填 1 项 Map a website's structure. Returns a list of URLs found starting from the base URL.

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数：url

tavily_research 2 个参数需填 1 项 Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数：input

服务介绍

🧬 KIP (Knowledge Interaction Protocol)

English | 中文

# What is KIP?

KIP (Knowledge Interaction Protocol) is a standard interaction protocol that bridges the gap between LLM (Probabilistic Reasoning Engine) and Knowledge Graph (Deterministic Knowledge Base). It is not merely a database interface, but a set of memory and cognitive operation primitives designed specifically for intelligent agents.

Large Language Models (LLMs) have demonstrated remarkable capabilities in general reasoning and generation. However, their "Stateless" essence results in a lack of long-term memory, while their probability-based generation mechanism often leads to uncontrollable "hallucinations" and knowledge obsolescence.

KIP was born to solve this problem through Neuro-Symbolic AI approach.

# # Key Benefits

🧠 Memory Persistence: Transform conversations, observations, and reasoning results into structured "Knowledge Capsules"
📈 Knowledge Evolution: Complete CRUD and metadata management for autonomous learning and error correction
🔍 Explainable Interaction: Make every answer traceable and every decision logically transparent
⚡ LLM-Optimized: Protocol syntax optimized for Transformer architectures with native JSON structures

# Quick Start

// Query: Find all drugs that treat headache
FIND(?drug.name)
WHERE {
  ?drug {type: "Drug"}
  (?drug, "treats", {name: "Headache"})
}
LIMIT 10

// Store: Create a new knowledge capsule
UPSERT {
  CONCEPT ?aspirin {
    {type: "Drug", name: "Aspirin"}
    SET ATTRIBUTES { molecular_formula: "C9H8O4", risk_level: 2 }
    SET PROPOSITIONS { ("treats", {type: "Symptom", name: "Headache"}) }
  }
}
WITH METADATA { source: "FDA", confidence: 0.95 }

// Explore: Discover schema
DESCRIBE PRIMER

# Documentation

# Core Concepts

# # Cognitive Nexus

A knowledge graph composed of Concept Nodes and Proposition Links, serving as the AI Agent's unified memory brain.

graph LR
    subgraph "Cognitive Nexus"
        A[Drug: Aspirin] - ->|treats| B[Symptom: Headache]
        A - ->|is_class_of| C[DrugClass: NSAID]
        A - ->|has_side_effect| D[Symptom: Stomach Upset]
    end

# # KIP Instruction Sets

# # Schema Bootstrapping

KIP uses a self-describing schema where type definitions are stored within the graph itself:

$ConceptType: Meta-type for defining concept node types
$PropositionType: Meta-type for defining proposition predicates
Domain: Organizational units for knowledge

# Resources

This repository includes ready-to-use resources for building KIP-powered AI agents:

# # 📦 Knowledge Capsules (`capsules/`)

Pre-built knowledge capsules for bootstrapping your Cognitive Nexus:

# # 🔌 MCP Server (`mcp/`)

kip-mcp-server - Model Context Protocol server that exposes KIP tools over stdio:

Tools: execute_kip, list_logs
Resources: kip://docs/SelfInstructions.md, kip://docs/KIPSyntax.md
Prompt: kip_bootstrap for ready-to-inject system prompt

# # 🎯 Agent Skills (`skill/`)

kip-cognitive-nexus - Publishable skill for AI agents:

Python client script for anda_cognitive_nexus_server
Complete syntax reference and agent workflow guide

# Implementations

| Project | Description |
| - -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- | - -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- - |
| Anda KIP SDK | Rust SDK for building AI knowledge memory systems |
| Anda Cognitive Nexus | Rust implementation of KIP based on Anda DB |
| Anda Cognitive Nexus Python | Python binding for Anda Cognitive Nexus |
| Anda Cognitive Nexus HTTP Server | An Rust-based HTTP server that exposes KIP via a small JSON-RPC API (GET /, POST /kip) |
| Anda App | AI Agent client app based on KIP |

# Version History

| Version | Date | Changes |
| - -- -- -- -- -- | - -- -- -- -- - | - -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- |
| v1.0-RC3 | 2026-01-09 | v1.0 Release Candidate 3：Optimized documentation; optimized instructions; optimized knowledge capsules |
| v1.0-RC2 | 2025-12-31 | Parameter placeholder prefix changed to :; batch command execution |
| ... | ... | ... |
| v1.0-draft1 | 2025-06-09 | Initial Draft |

Full version history →

# About Us

ICPanda is a community-driven project that aims to build the foundational infrastructure and applications that empower AI agents to thrive as first-class citizens in the Web3 ecosystem.

# License

Licensed under the MIT License. See LICENSE for details.

查看源码项目主页

MCP 服务配置

可用工具 （5 个）