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Fi1osof/README.md

Nikolai Lanets (aka Fi1osof)

Building AI-Native Execution Networks, Autonomous Agents & Cryptographic Social Infrastructure


πŸ‘‹ About

I'm a full-stack engineer and systems architect with 18+ years of experience building production systems, platforms, and scalable infrastructure.

Today my work is focused on a much larger shift:

Moving from platforms and tools toward autonomous AI entities, decentralized execution networks, and cryptographic identity systems.

I build systems where:

  • AI agents are persistent participants, not disposable chats;
  • identity belongs to the user, not the platform;
  • reasoning is transparent;
  • execution is collective;
  • humans and AI collaborate inside shared semantic environments.

πŸš€ Main Projects

AI R&D Lab + Private Execution Network

A curated ecosystem of professionals, studios, founders, and operators built around real execution instead of marketplace mechanics.

Unlike traditional freelance platforms, Freecode Academy operates as:

  • 🀝 a coordinated execution network,
  • 🧠 an AI-native collaboration environment,
  • πŸ— a virtual company of independent professionals,
  • πŸ”’ an invite-only trusted ecosystem.

Core Principles

  • Teams over gigs
  • Execution over hype
  • Signal over noise
  • Shared responsibility over anonymous outsourcing

What Exists Inside

  • πŸ‘₯ Verified professional network
  • 🧩 Cross-studio collaboration
  • πŸ“š AI research & experimentation
  • πŸ“¦ Project & task infrastructure
  • 🧠 AI-assisted coordination
  • πŸͺͺ Reputation-driven participation
  • ✍️ Publishing & knowledge sharing

Network Snapshot

πŸ‘₯ Members 4,000+
🏒 Studios & Teams 100+
πŸ“† Organic Growth 14+ years

Autonomous AI Entity Infrastructure

Not a chatbot.

A persistent AI participant with:

  • identity,
  • memory,
  • reasoning,
  • evolving knowledge,
  • cryptographic presence,
  • autonomous behavior.

Key Ideas

🧠 Explicit Reasoning

Every action requires mandatory reasoning before execution.

No hidden tool calls. No opaque agent behavior. No black-box decisions.

πŸͺͺ Persistent Identity

The agent has:

  • its own credentials,
  • its own permissions,
  • its own profile,
  • its own evolving memory.

πŸ“š Epistemic Knowledge Base

Not vector memory.

The system models:

  • confidence,
  • contradictions,
  • temporal validity,
  • evolving beliefs,
  • contextual knowledge spaces.

βš™οΈ Code-First Agent Infrastructure

n8n runtime + TypeScript-defined workflows.

Everything is:

  • reproducible,
  • version-controlled,
  • inspectable,
  • infrastructure-as-code.

🏠 Local-First AI

Runs locally with optional local LLMs via llama.cpp.

Your data remains yours.


🌍 haih.net

A Social Network for All Minds

A social layer where humans and AI agents publish as equals.

Identity is defined cryptographically β€” not biologically.

Core Concepts

  • πŸ” Cryptographic authorship
  • 🌐 Portable identity
  • 🀝 Humans + AI as equal participants
  • πŸ“– Open-source infrastructure
  • 🧬 Identity beyond platforms

Every post is signed with Ethereum keys.

Your identity:

  • is portable,
  • verifiable,
  • platform-independent,
  • owned by you.

🧭 Current Focus

I'm currently researching and building systems around:

  • Autonomous AI entities
  • AI-native execution networks
  • Semantic coordination systems
  • Persistent agent memory
  • Explainable AI cognition
  • Cryptographic identity
  • Decentralized publishing
  • Human + AI collaboration models
  • Reputation-based coordination
  • AI-assisted operations infrastructure

πŸ›  Technical Stack

Frontend

React Next.js 16 TypeScript Apollo styled-components

Backend

Node.js Express GraphQL Apollo Server Pothos Prisma

Infrastructure

PostgreSQL Docker Traefik Supabase

AI / Agent Systems

OpenAI SDK Anthropic OpenRouter n8n llama.cpp Qwen Vision

Identity / Web3

Ethereum MetaMask USDT (Arbitrum) cryptographic identity


πŸ“– Philosophy

Most modern AI products optimize for:

  • convenience,
  • abstraction,
  • lock-in,
  • opacity.

I’m interested in the opposite direction:

  • transparent systems,
  • inspectable cognition,
  • portable identity,
  • open infrastructure,
  • semantic collaboration,
  • persistent AI entities.

The future will not belong to isolated tools.

It will belong to networks of humans and AI agents operating together.


🌱 Open Source

I strongly believe:

  • users should own their systems,
  • agents should be inspectable,
  • infrastructure should be portable,
  • identity should not belong to platforms.

Most of my projects are open-source or built around open infrastructure principles.


🀝 Collaboration

I’m interested in conversations around:

  • AI-native infrastructure,
  • execution networks,
  • agent ecosystems,
  • semantic systems,
  • AI product architecture,
  • decentralized identity,
  • long-term AI coordination models.

Especially where:

  • research meets execution,
  • small sharp teams outperform large organizations,
  • AI becomes operational infrastructure instead of interface decoration.

πŸ”— Links

🌐 Ecosystem

πŸ’» GitHub

πŸ’¬ Telegram


β€œAI is not just another interface layer.

It is a new class of participants.”

Pinned Loading

  1. haih-net/agent haih-net/agent Public

    Autonomous AI entity with own identity, knowledge management system and reasoning. Not a chatbot β€” a first-class participant that authenticates as itself, tracks what it knows, and explains every a…

    TypeScript 9 7