# Anda Cognitive Nexus
[](https://crates.io/crates/anda_cognitive_nexus) [](https://docs.rs/anda_cognitive_nexus)
**Anda Cognitive Nexus** is a Rust implementation of **KIP (Knowledge Interaction Protocol)** built on top of [anda_db](https://github.com/ldclabs/anda-db/tree/main/rs/anda_db). It provides a persistent, graph-based long-term memory substrate for AI agents (concepts + propositions) with a KIP executor API.
Links:
- **KIP spec**: https://github.com/ldclabs/KIP
- **HTTP server** (optional): https://github.com/ldclabs/anda-db/tree/main/rs/anda_cognitive_nexus_server
- **Database core**: https://github.com/ldclabs/anda-db/tree/main/rs/anda_db
## What is KIP?
**KIP (Knowledge Interaction Protocol)** is a specialized protocol designed for Large Language Models (LLMs). It establishes a standard for efficient, reliable, and bidirectional knowledge exchange between an LLM (the "neural core") and a knowledge graph (the "symbolic core"). This allows AI Agents to build a memory that is not only queryable but also auditable and capable of evolution.
### Key Design Principles
* **LLM-Friendly**: Declarative syntax that is easy for LLMs/tools to generate.
* **Graph-Native**: Optimized for knowledge graph patterns.
* **Auditable**: Queries and mutations can be logged and reviewed as an execution trail.
* **Lifecycle-aware**: Supports querying, inserting, and evolving knowledge over time.
## Core Concepts
* **Cognitive Nexus**: The knowledge graph itself, composed of Concept Nodes and Proposition Links.
* **Concept Node**: An entity or abstract concept (e.g., a `Drug` named "Aspirin"). Each node has a type, a name, attributes, and metadata.
* **Proposition Link**: A reified fact that connects two nodes in a `(subject, predicate, object)` structure (e.g., `(Aspirin, treats, Headache)`).
* **Knowledge Capsule**: An atomic unit of knowledge, containing a set of nodes and links, used for transactional updates to the nexus.
## Features
* **KIP executor**: Runs KQL / KML / META commands via `anda_kip`.
* **Persistent & performant**: Built on Anda DB for durable storage and indexing.
* **Self-describing schema**: Concept/proposition types live inside the graph.
* **Async API**: Designed for modern, non-blocking applications.
## Getting Started
Add dependencies to your `Cargo.toml` (pick a concrete `object_store` backend):
```toml
[dependencies]
anda_cognitive_nexus = "0.6"
anda_kip = "0.6"
tokio = { version = "1", features = ["full"] }
# Provide an ObjectStore implementation
object_store = { version = "0.13", features = ["fs"] }
# Optional (recommended for local filesystem): metadata + conditional put support
anda_object_store = "0.3"
```
### Quickstart (in-memory)
This example boots a Nexus on an in-memory object store, inserts a small capsule via KML, and queries it via KQL.
```rust
use anda_cognitive_nexus::{CognitiveNexus, KipError};
use anda_db::database::{AndaDB, DBConfig};
use anda_kip::{parse_kml, parse_kql};
use object_store::memory::InMemory;
use std::sync::Arc;
#[tokio::main]
async fn main() -> Result<(), KipError> {
// 1) Set up storage and database
let db = AndaDB::connect(Arc::new(InMemory::new()), DBConfig::default()).await?;
// 2) Connect to the Cognitive Nexus
let nexus = CognitiveNexus::connect(Arc::new(db), async |_nexus| Ok(()) ).await?;
println!("Connected to Anda Cognitive Nexus: {}", nexus.name());
// 3) Manipulate Knowledge with KML
let kml_string = r#"
UPSERT {
CONCEPT ?drug_type {
{type: "$ConceptType", name: "Drug"}
SET ATTRIBUTES { description: "Pharmaceutical drug concept type" }
}
CONCEPT ?symptom_type {
{type: "$ConceptType", name: "Symptom"}
SET ATTRIBUTES { description: "Medical symptom concept type" }
}
CONCEPT ?treats_relation {
{type: "$PropositionType", name: "treats"}
SET ATTRIBUTES { description: "Drug treats symptom relationship" }
}
CONCEPT ?headache {
{type: "Symptom", name: "Headache"}
SET ATTRIBUTES { severity_scale: "1-10", description: "Pain in the head or neck area" }
}
CONCEPT ?aspirin {
{type: "Drug", name: "Aspirin"}
SET ATTRIBUTES { molecular_formula: "C9H8O4", risk_level: 1 }
SET PROPOSITIONS {
("treats", {type: "Symptom", name: "Headache"})
}
}
}
WITH METADATA { source: "Basic Medical Knowledge" }
"#;
let kml_commands = parse_kml(kml_string)?;
let kml_result = nexus.execute_kml(kml_commands, false).await?;
println!("KML Execution Result: {:#?}", kml_result);
// 4) Query Knowledge with KQL
let kql_query = r#"
FIND(?drug.name, ?drug.attributes.risk_level)
WHERE {
?drug {type: "Drug"}
(?drug, "treats", {type: "Symptom", name: "Headache"})
}
"#;
let (kql_result, _) = nexus.execute_kql(parse_kql(kql_query)?).await?;
println!("KQL Query Result: {:#?}", kql_result);
nexus.close().await?;
Ok(())
}
```
### LLM-friendly request/response
If you want a single structured interface (handy for function calling), use `anda_kip::Request` / `Response`. This is also what `anda_cognitive_nexus_server` expects under `POST /kip` with `method=execute_kip`.
```rust
use anda_kip::{Request, Response};
let req = Request {
command: "DESCRIBE PRIMER".to_string(),
..Default::default()
};
let (_ty, resp): (_, Response) = req.execute(&nexus).await;
println!("{resp:?}");
```
## Run the Demo
This repository includes a comprehensive demo: https://github.com/ldclabs/anda-db/tree/main/rs/anda_cognitive_nexus/examples/kip_demo.rs
To run it:
```bash
mkdir -p ./debug/metastore
cargo run -p anda_cognitive_nexus --example kip_demo
```
## Related
- `anda_kip`: parser + request/response model for KIP.
- `anda_db`: embedded storage engine.
- `anda_cognitive_nexus_server`: expose KIP over HTTP (JSON-RPC).
## License
Copyright © 2026 [LDC Labs](https://github.com/ldclabs).
`ldclabs/anda-db` is licensed under the MIT License. See [LICENSE](../../LICENSE) for the full license text.
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