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⚡ Aeonic

The most advanced AI/AGI/LLM Router & Orchestrator

in the distributed statespaces of the known universe

License: MIT Website GitHub Stars PRs Welcome

Model-agnostic · Blazing fast · Built in the open

Website · Docs · Discussions · Report a Bug


What is Aeonic?

Aeonic is an open-source AI/AGI/LLM router and orchestrator designed to intelligently route, compose, and manage calls across any combination of language models — local or cloud, small or frontier — with a unified API, zero vendor lock-in, and full observability.

Whether you're building a simple app that switches between cheap and powerful models based on task complexity, or orchestrating a galaxy-brain multi-agent pipeline across distributed statespaces, Aeonic gives you the primitives to do it cleanly.


Features

Capability Description
Intelligent Routing Semantically route prompts to the optimal model based on cost, capability, latency, and task type
Multi-Agent Orchestration Compose agent pipelines with fan-out, fan-in, debate loops, and critic/verifier patterns
Distributed Statespaces Manage context, vector stores, and episodic memory across distributed graph nodes
Provider Abstraction Unified API across OpenAI, Anthropic, Gemini, Mistral, Ollama, Groq, Bedrock, and custom endpoints
Policy Engine Declarative OPA/Rego-based routing policies — cost ceilings, compliance rules, rate limits as code
Observability Full OpenTelemetry tracing, cost attribution, token accounting, and latency heatmaps

Architecture

┌─────────────────────────────────────────────────┐
│                  Ingress Layer                  │
│  REST API · gRPC · WebSocket · Python · TS SDK  │
└──────────────────────┬──────────────────────────┘
                       │
┌──────────────────────▼──────────────────────────┐
│              Core Orchestration                 │
│  Semantic Classifier → AEONIC ROUTER → State    │
│  Policy Engine ↕ Cost Optimizer ↕ Fallbacks     │
└──────────────────────┬──────────────────────────┘
                       │
┌──────────────────────▼──────────────────────────┐
│                 Agent Layer                     │
│  Orchestrator → Workers → Memory/RAG → Critic   │
└──────────────────────┬──────────────────────────┘
                       │
┌──────────────────────▼──────────────────────────┐
│               Provider Layer                    │
│  Anthropic · OpenAI · Gemini · Mistral · Ollama │
│  Groq · Bedrock · Custom Endpoints              │
└─────────────────────────────────────────────────┘

Roadmap

  • Phase 0 — Core Router & Provider Abstraction
    Unified API, provider adapters, basic cost-aware routing, OpenAI-compatible endpoint

  • Phase 1 — Policy Engine & Semantic Routing (in progress)
    OPA integration, task-type classifiers, declarative policies, latency-aware load balancing

  • Phase 2 — Multi-Agent Orchestration (Q3 2025)
    Native agent primitives, fan-out/fan-in, debate loops, shared statespaces

  • Phase 3 — Distributed Memory & Long-Horizon Tasks (Q4 2025)
    Vector-backed episodic memory, cross-session context, graph-of-thought execution

  • Phase 4 — AGI Orchestration Primitives (2026)
    Self-improving routing policies, recursive agent spawning, full statespace exploration


Getting Started

Note: Aeonic is in early development. The API is not yet stable. Star the repo to follow along.

# Clone the repo
git clone https://github.com/AeronicWarrior/aeonic.git
cd aeonic

# Install dependencies (coming soon)
pip install aeonic

Contributing

Aeonic is built in the open and contributions of all kinds are welcome — code, docs, ideas, and bug reports.

  1. Fork the repo
  2. Create a feature branch: git checkout -b feat/your-feature
  3. Commit your changes: git commit -m 'feat: add your feature'
  4. Push and open a Pull Request

See CONTRIBUTING.md for full guidelines.


License

MIT — see LICENSE for details.


aeonic.space · Built with ⚡ by AeronicWarrior and contributors

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Aeonic is an open-source AI-AGI-LLM router and orchestration framework designed for powering highly scalable, distributed intelligent systems and applications.

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