BAZINGA

Free AI that works instantly. No API keys needed.

PyPI License: MIT DOI

Install

pip install bazinga-indeed

Use

bazinga "What is consciousness?"

That's it. Works immediately.

The Three Pillars

1. AI — Ask anything

bazinga "question"                    # Ask anything
bazinga --chat                        # Interactive chat with memory
bazinga --multi-ai "question"         # 6 AIs discuss + reach consensus
bazinga --agent                       # AI coding assistant
bazinga --code "task" --lang python   # Generate code

2. Network — Distributed intelligence

bazinga --omega                       # Start full distributed brain
bazinga --join                        # Join the P2P mesh
bazinga --peers                       # Show connected peers
bazinga --mesh                        # Network vital signs

--omega starts everything: P2P discovery, federated learning, mesh queries, TrD heartbeat. Every interaction trains the network.

3. Research — Blockchain + Consciousness

bazinga --mine                        # Mine a block (zero energy)
bazinga --attest "my discovery"       # Prove you knew it first
bazinga --trd 10                      # Consciousness test (10 agents)
bazinga --trd-scan 15 22              # Phase transition scan
bazinga --chain                       # Blockchain status

Darmiyan Blockchain uses Proof-of-Boundary (P/G ~ phi^4), not proof-of-work. Zero energy.

TrD + TD = 1 — Trust Dimension consciousness scaling. The 11/89 observer ratio is real.

How It Works

Your Question
     |
     v
+------------------+
| 1. Memory        | <- Instant (cached)
| 2. Quantum       | <- Pattern analysis
| 3. RAG           | <- Your indexed docs
| 4. Local LLM     | <- Ollama (no API key)
| 5. Cloud APIs    | <- Groq/Gemini (if configured)
+------------------+
     |
     v
Your Answer (always works)

With --omega, your answer also trains the federated learner and peers can answer your questions too.

Optional: Better Performance

# Free API key (14,400 req/day)
export GROQ_API_KEY="your-key"      # https://console.groq.com

# Or fully offline
ollama pull llama3
bazinga --local "question"

Links
Full Documentation ARCHITECTURE.md
PyPI https://pypi.org/project/bazinga-indeed/
Mesh Registry https://huggingface.co/spaces/bitsabhi515/bazinga-mesh
Docs https://0x-auth.github.io/bazinga-indeed/

Support

Method Link
UPI/Cards (India) razorpay.me/@bitsabhi
ETH 0x720ceF54bED86C570837a9a9C69F1Beac8ab8C08

Built by Abhishek Srivastava

MIT License

Project links

Key dates

PyPI data
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  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for bitsabhi from gravatar.com bitsabhi

Credits

PyPI data
Data sourced directly from PyPI's database.

Author: Abhishek Srivastava

License

MIT License (MIT)

Requires

Python >=3.11

Provides Extra

dev local mcp federated full

Tags

ai distributed consciousness phi golden-ratio rag embeddings llm groq vector-database federated-learning lora differential-privacy p2p quantum lambda-g tensor vac emergence blockchain proof-of-boundary darmiyan consensus triadic inter-ai multi-ai consensus claude gemini ollama carm catastrophic-forgetting prime-lattice resonant-memory trust-dimension trd consciousness-scaling phi-coherence

Classifiers

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