Open to Infrastructure Engineering Opportunities

I don't use AI frameworks. I build them.

Explore the Omni Stack View on GitHub
0
Core Systems
0
Production Features
0
Releases
100%
Solo Built
Scroll
Abiola Adeshina

Abiola Adeshina

AI Agent Infrastructure Engineer · Systems Architect · Open Source Creator

I'm a software engineer from Nigeria, obsessed with building the infrastructure layer that powers autonomous AI systems.

While others import frameworks, I architect and ship complete systems from scratch: custom memory synthesis engines, event-driven runtimes, and agent orchestration frameworks. Every component. Every line. Built solo.

Memory Engines Event Systems Agent Frameworks Built Solo
The Complete Stack

The Omni Ecosystem

Three pillars of autonomous intelligence. Each built from scratch. Each production-ready.

OmniCoreAgent

The Mind

Production-ready agent framework with 15+ features: workflows, MCP, guardrails, observability, and more.

Learn more

OmniDaemon

The Nervous System

"Kubernetes for AI Agents"—process isolation, auto-recovery, event-driven communication. Fault-tolerant by design.

Learn more

OmniMemory

The Brain

Self-evolving composite memory synthesis. Mimics human cognition with dual-agent processing and infinite context retention.

Learn more

OmniCoreAgent

Production Agent Framework

"Not just workflow orchestration—the entire system for production agents."

OmniCoreAgent is a complete agent framework with 15+ production features: workflow engines, tool discovery, MCP protocol, guardrails, observability, and runtime memory switching—all in one cohesive package.

  • Workflow Engine — Sequential, Parallel, Router patterns
  • MCP Client — Native Model Context Protocol support
  • Semantic Tool Discovery — BM25 retrieval for 100+ tools
  • Guardrails — Prompt injection protection
  • Runtime Memory Switching — Redis → MongoDB, no restart
$ pip install omnicoreagent
View Repository Cookbook
OmniCoreAgent Architecture
OmniDaemon Architecture

OmniDaemon

Universal Event-Driven Runtime

"Kubernetes for AI Agents—one crash won't kill your system."

Most AI frameworks run everything in a single Python process. One crash kills your entire system. I architected OmniDaemon as a complete Service Mesh for Agents—production-grade runtime with process isolation, auto-recovery, and event-driven communication.

Event-Driven

Redis Streams, consumer groups, event routing

Process Isolation

Each agent in its own process, auto-restart

Fault Tolerant

DLQ, exponential backoff, circuit breakers

Framework Agnostic

Works with any agent: LangChain, ADK, custom

View Repository Read Docs

OmniMemory

Self-Evolving Composite Memory Synthesis

"Traditional RAG is a filing cabinet. OmniMemory is a living brain."

I built OmniMemory from scratch as a complete memory infrastructure system. It employs dual-agent parallel processing (Episodic + Summarizer agents) to synthesize memories, then autonomously maintains coherence through AI-powered conflict resolution.

  • Dual-Agent Construction — Parallel Episodic + Summarizer agents
  • Self-Evolving — Autonomous UPDATE/DELETE/SKIP/CREATE operations
  • Composite Scoring — relevance × (1 + recency + importance)
  • Multi-Tenant Isolation — App → User → Session hierarchy
$ pip install omnimemory
View Repository Read Docs
OmniMemory Architecture
Showcase

What You Can Build

Real applications built with the Omni Stack. Complete solutions, not demos.

OmniAudit

AI Due Diligence Agent

Autonomous agent that researches companies, analyzes financials, and generates comprehensive due diligence reports.

View Project

DevOps Copilot

Infrastructure Automation

AI-powered DevOps assistant that manages deployments, monitors systems, and automates infrastructure tasks.

View Project

Deep Code Agent

Code Analysis & Generation

Intelligent code assistant that understands entire codebases, suggests improvements, and generates quality code.

View Project
Capabilities

What I Build

These aren't wrappers or integrations. They're complete systems built from scratch.

Memory Infrastructure

Custom memory synthesis engines, embedding pipelines, vector databases, and conflict resolution systems.

  • • Dual-agent memory construction
  • • Composite scoring algorithms
  • • Self-evolving conflict resolution

Event-Driven Runtimes

Service mesh architectures, event streaming, consumer coordination, and distributed state management.

  • • Redis Streams orchestration
  • • Dead Letter Queue systems
  • • Priority routing & fan-out

Agent Frameworks

Complete agent orchestration systems with workflow engines, tool discovery, and execution pipelines.

  • • Workflow orchestration (Seq/Par/Router)
  • • MCP protocol implementation
  • • Semantic tool discovery

API & SDK Infrastructure

REST APIs, async SDKs, connection pooling, daemon services, and developer tooling.

  • • FastAPI REST endpoints
  • • Async Python SDKs
  • • Background task systems

Observability & Metrics

Tracing systems, metrics collection, logging infrastructure, and performance monitoring.

  • • Opik LLM tracing
  • • Custom metrics collectors
  • • Structured logging pipelines

System Architecture

Multi-tenant isolation, status-driven lineage, async processing pipelines, and production patterns.

  • • Three-tier isolation (App/User/Session)
  • • Status-based memory evolution
  • • Async background processing