axcdev

Autonomous Deep Research, Project Management, and Personal Assistant AI Agent

  • Autonomous Deep Research Agent
  • Multi-Agent AI System
  • AI Project Management
  • AI Scrum Master
  • Research Automation
  • AI Notes and Actions
  • Vector Database Integration
  • Secure Python Execution
  • Digital Operations AI

Overview

What started as an AI-powered news curator has evolved into a fully autonomous deep research and project management organization— a network of specialized AI agents capable of reading, analyzing, planning, and executing on my behalf.

This system is more than just my personal research tool. It’s an always-on digital operations team that can investigate complex topics, manage projects like a Scrum Master, maintain detailed notes, and take direct actions across my tools and platforms.

From News Digest to Full Digital Operations Team

The original version of this project was a simple Python script running on a schedule: it fetched news, summarized key points, and published a curated digest.

Today, it’s a multi-agent orchestration system where agents can:

  • Research any topic across the web and internal data sources.
  • Manage projects end-to-end, creating tasks, tracking progress, and reporting status.
  • Maintain and organize notes across multiple knowledge bases.
  • Act on your behalf inside integrated tools, reducing the need for human intervention.

Integrated Capabilities & Tool Access

Each agent is equipped with specialized tools and context awareness:

  • Personal Email Access - Read, filter, and respond to relevant communications.
  • Project Management Software - Create, assign, and update tasks; run sprints; manage backlogs.
  • Notes & Knowledge Systems - Capture research findings and maintain structured, searchable context.
  • PRM Integration - Link insights to contacts and opportunities.
  • Secure Python Code Execution - Process and analyze data dynamically.
  • Vector Databases - Maintain long-term semantic memory for instant context retrieval.
  • Valkey - High-speed caching and distributed operations for efficiency.

Key Features

  • Autonomous Research & Execution - Agents independently plan, gather data, make decisions, and execute tasks.
  • Scrum Master Capability - Manage project timelines, dependencies, and deliverables without manual oversight.
  • Action-Oriented Notes - Capture meeting minutes, summarize discussions, and instantly create follow-up tasks.
  • Cross-Tool Collaboration - Agents coordinate across email, project boards, notes, CRMs, and code execution environments.
  • Multi-Model Reasoning - Leverage Claude, Gemini, Perplexity, and LangChain for comprehensive analysis and decision-making.

Challenges in Modern Workflows

Managing research, projects, and communications often requires juggling multiple tools, repetitive admin work, and constant context-switching—leading to inefficiency and missed opportunities.

My Solution

By orchestrating a cohesive team of AI agents with both research and operational capabilities, I’ve created a system that can:

  • Stay informed and synthesize the most relevant information.
  • Turn insights into actionable project plans.
  • Execute tasks across multiple platforms without direct supervision.
  • Maintain a persistent memory of goals, progress, and priorities.

The result is a self-directing AI operations layer—one that not only gathers knowledge, but also ensures it turns into tangible outcomes.