About

Constitutional AI that proves its reasoning.

Chimera is a constitutional AI enforcement architecture. Every action routes through an embedding-based safety classifier, escalates to multi-model debate when uncertain, and produces cryptographically signed provenance chains with zero-knowledge proofs. The system self-improves: debate outcomes train the alignment encoder through an RLAIF loop.

Built by Sahil Kadadekar · Solo architect · Sep 2025 – Present

What This Is

The architecture

A constitutional AI enforcement system spanning Python and Rust. The fast-path router classifies 99% of queries in <10ms via embedding cosine similarity. Uncertain queries escalate to a multi-model debate engine with heat-based escalation and three consensus algorithms. The Rust runtime (7 crates) provides Ed25519 provenance chains, BFT consensus, and zero-knowledge proofs for cross-trust-boundary communication. JARVIS is the agent layer — multi-provider chat, voice (Whisper/Piper), semantic memory, tool execution with human-in-the-loop approval, and proactive intelligence.

The research

555,000+ measurements across 36 technical reports. Not wall-clock approximations — CUDA event timing with defined hardware profiles and statistical methodology. Covers model loading, ONNX conversion, TensorRT compilation, KV cache optimization, multi-agent coordination, and safety analysis across Ollama, vLLM, and TGI.

The Ecosystem

Banterpacks

Python, Rust

Core monorepo — 6 subsystems: JARVIS (AI gateway), TDD002 (constitutional router), Chimera (debate engine), TDD005 (Rust runtime with ZK proofs + BFT), RLAIF (self-improving alignment), and Authoring (LLM providers).

Banterhearts

Python

ML research platform — inference API, benchmarking infrastructure, AutoOpt agent, safety evaluation framework. Source of 555K+ measurements across 36 technical reports.

Chimeraforge

Python, Rust

LLM deployment optimizer on PyPI. 4-gate capacity planner (VRAM, Quality, Latency, Cost) across 15 GPU profiles.

Chimera Multi-Agent

Python

Muse Protocol — 6-agent content pipeline with ClickHouse analytics. Also the observability control plane (OTel, Datadog, DLQ).

Chimeradroid

C# / Unity

Android companion for JARVIS — voice, chat, session handoff, tool approval, mesh networking, offline-first.

Echo

Python

Messaging channel adapters — Slack and Discord bridges to JARVIS. Session tracking, device key auth.

JARVIS Console

TypeScript / Next.js

Web console for JARVIS — chat with streaming, control room dashboard, cognitive agent ELO, tool catalog, workflow management.

This Site

TypeScript / Next.js

Public presence. Episodes generated from git commits, research archive, platform documentation.

8 repositories · Python, Rust, TypeScript, C# · 89 patches shipped
555K+
Research Measurements
36
Technical Reports
266
Episodes Shipped
1,915,908
Lines Documented

About This Site

Episodes are auto-generated from git commits across all eight repositories. A multi-agent pipeline (Chimera Multi-Agent) ingests commits and benchmark data, generates roundtable-style commentary with four AI personas, and publishes to this Next.js site via GitHub + Vercel.

The research archive surfaces 36 technical reports with phase grouping, searchable titles, and ISR with 15-minute revalidation. Every report links to real measurements and defined methodology.