Multi-Agent AI Orchestration

A Secure, Symbolic Multi-Agent AI Framework

Encrypted vaults, governed decision-making, and symbolic planning. Deploy autonomous agent swarms that coordinate, reason, and execute complex goals while maintaining full auditability and ethical constraints.

▶ Get Started Explore Features

🤖

🔒

⚙

AES-256

Vault Encryption

10+

Concurrent Agents

Prolog

Reasoning Engine

100%

Audit Coverage

// Capabilities

Core Features

A complete toolkit for building secure, observable, and ethically governed multi-agent systems.

🔒

Encrypted Vaults

AES-256-GCM encryption with per-entry nonces ensures sensitive agent data, credentials, and configuration remain secure at rest and in transit.

🤖

Multi-Agent Coordination

Dynamic agent lifecycle management with role-based task distribution. Agents spawn, collaborate, and teardown based on workload demands.

🧠

Symbolic Planning

Logic-based reasoning engine decomposes high-level goals into actionable task DAGs using Prolog-based inference with configurable depth limits.

🛡

Governance Framework

Policy enforcement, comprehensive audit logging, and ethical constraint validation ensure every agent action is authorized and traceable.

📡

Event-Driven Architecture

Real-time inter-agent messaging with pub/sub patterns and guaranteed delivery. Agents react to events asynchronously for maximum throughput.

📊

Observable & Traceable

Comprehensive logging, metrics export, and distributed tracing for all agent activities. Full visibility into every decision and action.

// System Design

Platform Architecture

Modular, extensible design with clear separation between planning, execution, storage, and governance.

🧠

Symbolic Planner

Goal decomposition into actionable task DAGs with constraint resolution

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Agent Manager

Lifecycle management, coordination, and role-based task distribution

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Vault System

AES-256 encrypted key-value store with per-entry nonce generation

🛡

Governance

Policy enforcement, ethical validation, and comprehensive audit logging

📡

Message Bus

Pub/sub messaging with guaranteed delivery and event streaming

// Developer Guide

How It Works

Three lines of code to secure storage, agent messaging, and goal decomposition.

1. Vault System

from oblisk.vault import Vault

vault = Vault(key_path="/path/to/key")

vault.set("api_token", "sensitive-123")

token = vault.get("api_token")
# Decrypted on-the-fly, secure at rest

2. Agent Communication

from oblisk.agents import Agent

class DataAgent(Agent):

  def on_message(self, topic, payload):

    if topic == "tasks.fetch":

      data = self.fetch(payload["source"])

      self.publish("data.fetched", data)

3. Symbolic Planning

from oblisk.core import SymbolicPlanner

planner = SymbolicPlanner()

plan = planner.create_plan(

  goal="Analyze sentiment",

  constraints=["cost < 100"]

)

planner.execute(plan)
# Returns task DAG assigned to agents

// Installation

Quick Start

Get OBLISK running locally in under 5 minutes.

# Clone the repository

git clone https://github.com/POWDER-RANGER/OBLISK.git

cd OBLISK

# Create virtual environment

python3 -m venv venv

source venv/bin/activate  # Windows: .\venv\Scripts\Activate.ps1

# Install dependencies

pip install -r requirements.txt

# Launch OBLISK

python -m oblisk.main

View Configuration Guide