# Flakestorm: The Reliability Layer for Agentic Engineering ⚡️🤖

**Flakestorm** is a suite of infrastructure and observability tools designed to solve the **Trust Gap** in autonomous software development. As we move from human-written to agent-generated code, we provide the safety rails, cost-controls, and verification protocols required for production-grade AI.



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## 🛠 The Flakestorm Stack

Our ecosystem addresses the four primary failure modes of AI agents:

### 🧹 [Session-Sift](https://github.com/flakestorm/session-sift)
**The Optimizer (Context & Memory)** A semantic "Garbage Collector" for LLM sessions. It prunes context rot, resolved errors, and terminal noise to slash token costs by up to 60% while preventing semantic drift in long-running chats.
* **Core Tech:** MCP Server, Heuristic Pruning, Token FinOps.

### 🧪 [Flakestorm Chaos](https://github.com/flakestorm/flakestorm/blob/main/CHAOS_ENGINE.md) (This Repo)
**The Auditor (Resilience)** Chaos Engineering for AI Agents. We deliberately inject failures, tool-latency, and adversarial inputs to verify that your agents degrade gracefully and adhere to behavioral contracts under fire.
* **Core Tech:** Failure Injection, Agentic Unit Testing, Red Teaming.

### ⚖️ [VibeDiff](https://github.com/flakestorm/vibediff)
**The Notary (Semantic Intent)** A high-performance Rust auditor that verifies if agentic code changes actually match the developer's stated intent. It bridges the gap between "The Git Diff" and "The Vibe."
* **Core Tech:** Rust, Tree-sitter AST Analysis, Semantic Audit.

### 🛡️ [Veraxiv](https://github.com/flakestorm/veraxiv)
**The Shield (Verification & Attestation)** The final gate for autonomous systems. Veraxiv provides a high-integrity verification layer and tamper-proof attestation for machine-generated actions and outputs.
* **Core Tech:** Verification Protocol, Compliance Audit, Attestation.

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## 🔄 The Reliable Agent Loop

We believe the future of engineering isn't just "Better Models," but **Better Infrastructure.** 1.  **Sift:** Clean the input memory to maximize model intelligence.
2.  **Stress:** Test the agent's logic through deliberate chaos (**Flakestorm**).
3.  **Audit:** Verify the output code against the human's intent (**VibeDiff**).
4.  **Attest:** Sign off on the final action with a verifiable audit trail (**Veraxiv**).

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