mesh-os 0.1.3

MeshOS - A lightweight multi-agent memory system with semantic search

MeshOS

The Memory & Knowledge Engine for Multi-Agent Systems

MeshOS is a developer-first framework for building multi-agent AI-driven operations with structured memory, knowledge retrieval, and real-time collaboration. Unlike generic memory stores, MeshOS is purpose-built for:

• Autonomous Agents & Teams – Agents and humans evolve a shared memory over time.
• Graph-Based Memory – Track relationships, dependencies, and evolving knowledge.
• Fast Semantic Search – Vector-based retrieval with pgvector.
• Event-Driven Execution – Automate workflows based on evolving context.
• Versioned Knowledge – Track updates, past decisions, and historical context.
• Open & Portable – Runs on PostgreSQL + Hasura with no vendor lock-in.

Why MeshOS?

Most frameworks give you a blob of memories—MeshOS gives you structured, evolving intelligence with deep relationships and versioning.

Feature	MeshOS	Mem0 / Letta / Zep
Multi-Agent Memory	✅ Yes	❌ No
Structured Taxonomy	✅ Yes	❌ No
Versioned Knowledge	✅ Yes	❌ No
Graph-Based Relationships	✅ Yes	❌ No
Semantic & Vector Search	✅ Yes	✅ Partial
Event-Driven Execution	✅ Yes	❌ No
Open-Source & Portable	✅ Yes	✅ Partial

Who is MeshOS for?

✅ Builders of AI-powered operations – Structured memory and decision-making for AI-driven systems.
✅ Multi-agent system developers – AI agents that need to store, process, and evolve shared knowledge.
✅ Developers & engineers – Wanting an open-source, PostgreSQL-powered framework with no lock-in.

---

flowchart LR
    %% Main System
    subgraph MeshOS[MeshOS System]
        direction LR

        %% Taxonomy Details
        subgraph Taxonomy[Memory Classification]
            direction TB
            
            subgraph DataTypes[Data Types]
                direction LR
                knowledge[Knowledge Type]
                activity[Activity Type]
                decision[Decision Type]
                media[Media Type]
            end

            subgraph Subtypes[Example Subtypes]
                direction LR
                k_types[Research/Mission/Vision]
                a_types[Conversations/Logs/Events]
                d_types[Policies/Strategies]
                m_types[Documents/Images]

                knowledge --> k_types
                activity --> a_types
                decision --> d_types
                media --> m_types
            end

            subgraph Relations[Edge Types]
                direction LR
                basic[related_to/version_of]
                semantic[influences/depends_on]
                temporal[follows_up/precedes]
            end
        end

        %% Memory Operations
        subgraph MemoryEngine[Memory Operations]
            direction LR
            rememberAction[Store/Remember]
            recallAction[Search/Recall]
            linkAction[Link Memories]
            versioning[Version Control]

            rememberAction --> recallAction
            recallAction --> linkAction
            linkAction --> versioning
        end
    end

    %% Organization & Agents
    subgraph Organization[Organization & Agents]
        direction TB

        %% Company Memory
        subgraph CompanyMemory[Company-Wide Memory]
            direction LR
            corpVision[Company Vision]
            corpMission[Company Mission]
            corpData[Knowledge Base]
        end

        %% Agents
        subgraph Agent1[Research Agent]
            a1Mem[Research Memories]
        end

        subgraph Agent2[Service Agent]
            a2Mem[Service Memories]
        end
    end

    %% System Connections
    Taxonomy --> MemoryEngine
    MemoryEngine --> Organization

    %% Memory Connections
    corpVision -.->|influences| a1Mem
    corpMission -.->|guides| a2Mem
    a1Mem -.->|shares| a2Mem
    a2Mem -.->|feedback| corpData
    a1Mem -.->|versions| corpData

    %% Styling
    classDef system fill:#dfeff9,stroke:#333,stroke-width:1.5px
    classDef engine fill:#fcf8e3,stroke:#333
    classDef taxonomy fill:#e7f5e9,stroke:#333
    classDef types fill:#f8f4ff,stroke:#333
    classDef org fill:#f4f4f4,stroke:#333

    class MeshOS system
    class MemoryEngine engine
    class Taxonomy,DataTypes,Subtypes,Relations taxonomy
    class Organization org

---

Getting Started

Install & Create a New Instance

pip install mesh-os
mesh-os create my-project && cd my-project
mesh-os up

Usage

from mesh_os import MeshOS

# Initialize MeshOS
os = MeshOS()

# Register an agent
agent = os.register_agent(name="AI_Explorer")

# Store structured knowledge
memory = os.remember(
    content="The Moon has water ice.",
    agent_id=agent.id,
    metadata={
        "type": "knowledge",
        "subtype": "fact",
        "tags": ["astronomy", "moon"],
        "version": 1
    }
)

# Retrieve similar knowledge
results = os.recall(query="Tell me about the Moon.")

---

🏗️ Core Features

✅ Memory for Multi-Agent Systems – Let agents store, retrieve, and link structured knowledge.
✅ Fast Semantic Search – pgvector-powered similarity matching across all memories.
✅ Graph-Based Knowledge – Build evolving relationships between facts, ideas, and actions.
✅ Versioning Built-In – Track updates, past decisions, and context shifts.
✅ Event-Driven Execution – Automate workflows based on new knowledge.
✅ Open & Portable – Runs anywhere PostgreSQL does. No black-box infrastructure.

---

🔗 Structured Taxonomy & Memory Graph

MeshOS enforces structured knowledge with memory classification and versioning:

Memory Type	Examples
Knowledge	Research reports, datasets, concepts
Activity	Agent workflows, logs, system events
Decision	Policy updates, business strategy
Media	Documents, images, AI-generated content

Memories evolve over time, with full versioning and relationship tracking.

---

🛠️ Development & Configuration

Configuration

# Required
OPENAI_API_KEY=your_api_key_here

# Optional (defaults shown)
POSTGRES_PASSWORD=mysecretpassword
HASURA_ADMIN_SECRET=meshos
POSTGRES_PORT=5432
HASURA_PORT=8080
HASURA_ENABLE_CONSOLE=true

Development

git clone https://github.com/yourusername/mesh-os.git
cd mesh-os
poetry install
poetry run pytest

Contributing

Contributions are welcome! Please submit a Pull Request.

---

⚖️ License

This project is licensed under the Apache 2.0 License – see LICENSE for details.