🧬 KIP (Knowledge Interaction Protocol)

English | 中文

A graph-oriented interaction protocol designed specifically for Large Language Models,
bridging the gap between LLM and Knowledge Graph.

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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

Document	Description
📖 Specification	Complete KIP protocol specification (English)
📖 规范文档	完整的 KIP 协议规范 (中文)
🤖 Agent Instructions	Operational guide for AI agents using KIP
⚙️ System Instructions	System-level maintenance and hygiene guide
📋 Function Definition	execute_kip function schema for LLM integration

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

Instruction Set	Purpose	Examples
KQL (Query)	Knowledge retrieval and reasoning	FIND, WHERE, FILTER
KML (Manipulation)	Knowledge evolution and learning	UPSERT, DELETE
META (Discovery)	Schema exploration and grounding	DESCRIBE, SEARCH

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:

Capsule	Description
Genesis.kip	Foundational capsule that bootstraps the entire type system
Person.kip	Person concept type for actors (AI, Human, Organization)
Event.kip	Event concept type for episodic memory
persons/self.kip	The $self concept instance
persons/system.kip	The $system concept instances

🔌 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

🧠 Hippocampus (hippocampus/)

A dedicated LLM layer that manages the Cognitive Nexus on behalf of business agents — no KIP knowledge required:

File	Description
HippocampusFormation.md	System prompt for memory encoding (messages → structured knowledge)
HippocampusRecall.md	System prompt for memory retrieval (natural language → KIP → answer)
HippocampusMaintenance.md	System prompt for memory maintenance (sleep mode)
RecallFunctionDefinition.json	recall_memory function schema for business agent integration

┌─────────────────────┐
│   Business Agent    │  ← No KIP knowledge needed
└────────┬────────────┘
         │ Natural Language
         ▼
┌─────────────────────┐
│    Hippocampus      │  ← Formation / Recall / Maintenance
└────────┬────────────┘
         │ KIP (KQL/KML/META)
         ▼
┌─────────────────────┐
│  Cognitive Nexus    │  ← Persistent Knowledge Graph
└─────────────────────┘

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-RC4	2026-03-09	v1.0 Release Candidate 4: Added IN, IS_NULL, IS_NOT_NULL FILTER operators; clarified UNION variable scope semantics; defined batch response structure; added temporal and UNION query examples
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

• 🔔 Products: Anda.AI | 天策 Celestian
• 💻 GitHub: LDC Labs
• 🏢 Company: Yiwen AI

License

Copyright © 2025 LDC Labs.

Licensed under the MIT License. See LICENSE for details.