PulseDB

An embedded database purpose-built for agentic AI systems.

Collective memory for AI agents. Not message passing. Not RAG. A purpose-built embedded database for multi-agent coordination.

PulseDB gives your AI agents persistent, shared memory. Record what agents learn, search by semantic similarity, track relationships between experiences, and get notified in real-time when knowledge changes — all from a single embedded database with zero external dependencies.

Why PulseDB?

• Experience-native — Not just vectors. Experiences carry importance, confidence, domain tags, typed variants (insights, errors, patterns, decisions), and relationships to other experiences.
• Embedded — No server, no Docker, no network. A single Rust crate that compiles into your binary. Open a file, start storing.
• Real-time — Watch streams notify agents of new experiences as they happen (<100ns overhead). No polling.
• Context-aware — One API call assembles context from similar experiences, recent activity, insights, relations, and active agents. Not just "find the nearest vector."
• Fast — Sub-millisecond reads, <6ms writes, <100us vector search at 1K experiences. Built on redb (ACID) + HNSW (approximate nearest neighbor).

Quick Start

use pulsedb::{PulseDB, Config, NewExperience};

// Open or create a database
let db = PulseDB::open("my-agents.db", Config::default())?;

// Create a collective (isolated namespace for your project)
let collective = db.create_collective("my-project")?;

// Record an experience
db.record_experience(NewExperience {
    collective_id: collective,
    content: "Always validate user input before processing".to_string(),
    importance: 0.8,
    embedding: Some(vec![0.1f32; 384]),
    ..Default::default()
})?;

// Search for semantically similar experiences
let query = vec![0.1f32; 384];
let results = db.search_similar(collective, &query, 10)?;
for result in &results {
    println!("[{:.3}] {}", result.similarity, result.experience.content);
}

db.close()?;

Installation

[dependencies]
pulsehive-db = "0.1"

With built-in embedding generation (no external embedding service needed):

[dependencies]
pulsehive-db = { version = "0.1", features = ["builtin-embeddings"] }

Note: The crate is published as pulsehive-db on crates.io but imported as use pulsedb::... in Rust code.

Features

• Experience storage — Record, retrieve, update, archive, and delete agent experiences with full CRUD operations
• Vector search — HNSW approximate nearest neighbor search for semantic similarity (384-dimensional embeddings by default)
• Knowledge graph — Typed relations between experiences (Supports, Contradicts, Elaborates, Supersedes, Implies, RelatedTo)
• Real-time watch — In-process notification streams via crossbeam channels and cross-process change detection via WAL sequence tracking
• Context assembly — Single get_context_candidates() call retrieves similar experiences, recent activity, insights, relations, and active agents
• Derived insights — Store synthesized knowledge with source experience tracking
• Activity tracking — Monitor which agents are active with heartbeat and staleness detection
• Optional ONNX embeddings — Built-in all-MiniLM-L6-v2 (384d) with automatic model download (builtin-embeddings feature)
• ACID transactions — redb-backed storage with crash safety via shadow paging
• Async integration — SubstrateProvider trait with tokio::spawn_blocking wrappers for async agent frameworks

Performance

Measured on Apple Silicon (M-series), single-threaded:

Run benchmarks yourself: cargo bench

Architecture

┌─────────────────────────────────────────────────────────────┐
│                    CONSUMER APPLICATIONS                     │
│         (Agent Frameworks, Custom AI Systems, RAG)           │
├─────────────────────────────────────────────────────────────┤
│                                                              │
│  ┌────────────────────────────────────────────────────────┐  │
│  │                  PulseDB Public API                     │  │
│  │  record_experience()  search_similar()  watch()        │  │
│  │  create_collective()  store_relation()  store_insight() │  │
│  │  get_context_candidates()  get_active_agents()         │  │
│  └───────────────────────┬────────────────────────────────┘  │
│                          │                                    │
│  ┌───────────────────────┼────────────────────────────────┐  │
│  │                  PULSEDB CORE                           │  │
│  │                       │                                 │  │
│  │  ┌──────────┐  ┌─────┴───────┐  ┌───────────────────┐  │  │
│  │  │Embedding │  │Query Engine │  │  Watch System     │  │  │
│  │  │Provider  │  │(context)    │  │  (crossbeam)      │  │  │
│  │  └──────────┘  └─────────────┘  └───────────────────┘  │  │
│  │       │               │                  │              │  │
│  │  ┌────┴───────────────┴──────────────────┴───────────┐  │  │
│  │  │                Storage Layer                       │  │  │
│  │  │  ┌──────────┐              ┌────────────────────┐  │  │  │
│  │  │  │   redb   │              │   HNSW Index      │  │  │  │
│  │  │  │(KV store)│              │   (hnsw_rs)       │  │  │  │
│  │  │  └──────────┘              └────────────────────┘  │  │  │
│  │  └────────────────────────────────────────────────────┘  │  │
│  └──────────────────────────────────────────────────────────┘  │
│                                                                │
└────────────────────────────────────────────────────────────────┘

Comparison

Key Concepts

Collective

A collective is an isolated namespace for experiences, typically one per project. Each collective has its own vector index and can have different embedding dimensions.

Experience

An experience is a unit of learned knowledge. It contains content (text), an embedding (vector), importance and confidence scores, domain tags, and a typed variant — TechInsight, ErrorPattern, SuccessPattern, ArchitecturalDecision, and more.

Minimum Supported Rust Version

The current MSRV is 1.89. This is verified in CI on every commit.

Contributing

Contributions are welcome! Please open an issue to discuss your idea before submitting a pull request.

Documentation

• API Reference (docs.rs)
• CHANGELOG

License

PulseDB is dual-licensed:

• Open Source: GNU Affero General Public License v3.0 (AGPL-3.0) — free for open-source projects and internal use. If you modify PulseDB and offer it as a network service, you must release your source code under AGPL-3.0.
• Commercial License: For proprietary use without AGPL obligations, contact us for a commercial license.

This ensures PulseDB remains free for the community while protecting against unauthorized commercial hosting.