Architecture Deep-Dive

The Agent Fleet

A swarm of specialized state machines, not a naive LLM wrapper.

Enterprise security cannot rely on a single, monolithic "AI chat" prompt. TuringMind operates a fleet of highly specialized, LangGraph-powered autonomous agents. Each agent is a deterministic state machine designed for a specific security or engineering workflow.

Layer 1: Agent Fleet

PR ReviewerFail-Open CI Pipeline & Gatekeeper

OrchestratorCyclic State Machine & Traversal

DependencySupply-Chain Hardening & Upgrades

Search IntelProgressive Narrowing Search

Layer 2: Compute & Orchestration

LangGraph RouterPlan → Execute → Pivot State Machine

20s

25s

CheckpointedLLMCascading Execution Wrapper

TURINGMIND_QNA_TOOL (DATA BUS)

Layer 3: Data Foundation

Gobbler Pipeline

PARSE

CHUNK

MAP

Preserves function logic, drops naive vectorization, and explicitly maps control flow edges.

Semantic Graph Index

FalkorDB: Deterministic call stack traversal providing absolute control flow paths.

1. The PR Review Agent (Fail-Open CI)

The PRReviewAgentExecutor is built to run entirely inside your CI pipeline. Unlike the Orchestrator, it uses a strict linear pipeline to ensure it never hangs a build.

PR Opened

Context Merge

Loads repo diff + .turingmind.yml config.

Fail-Open Engine

CheckpointedLLM

20s→25s→30s

Threshold Check

Evaluates against severity config

Pass

Post actionable inline suggestions.

Block

Fail CI. Mask vulnerability comment.

CheckpointedLLM: Uses a custom wrapper with cascading timeouts (20s → 25s → 30s) to gracefully degrade during API outages, ensuring your developers are never blocked by an AI failure.
Threshold Gatekeeper: Evaluates findings against the strict severity thresholds defined in your .turingmind.yml.

2. The Security Orchestrator

The LangGraphAgentExecutor is our heavy-duty triage agent. It is a cyclic state machine that eliminates phantom CVEs by mapping the actual control flow of your application.

The Orchestrator runs a continuous Plan → Execute → Evaluate cycle. Each iteration queries the Semantic Graph Index and pivots based on what it finds. Here's the state machine in action:

Execution Trace: CVE-2019-10744 (lodash)

1. TRIGGER

Pipeline detects Prototype Pollution vulnerability in lodash.merge.

2. PLAN

Agent formulates strategy to locate all AST nodes invoking merge.

3. EXECUTE

Agent calls turingmind_qna_tool to query the Gobbler Index. Locates 3 usages in config/loader.ts.

4. EVALUATE (Control Flow Analysis)

Agent traces data flow backwards from the invocation. Discovers the payload passed to merge is statically defined and not user-controllable.

5. SYNTHESIS

Agent definitively proves the vulnerability is deterministically unreachable via control-flow analysis. Verdict: Phantom CVE (Suppressed).

Specialized Sub-Agents

For specific interactive tasks and dependency management, we deploy targeted sub-agents based on CLI-native paradigms.

Dependency Update Agent

A specialized variant focused entirely on supply-chain security. It uses the perplexity_dependency_tool to scour the web for unpinned dependencies, known CVEs, and breaking changelogs, then cross-references them against your codebase's AST to warn developers if an upgrade will break their implementation.

Code Analyzer

Traces dependencies, structural imports, and business logic patterns across the monorepo to build a holistic understanding of system architecture.

Search Specialist

Executes "progressive narrowing" using parallel ripgrep and glob tools to find highly specific code vulnerabilities without hallucinating.

Mythos Readiness

See the full fleet in action: 2,847 scanner alerts reduced to 1 deterministically proven exploit.

Connect your repo and eliminate 95% of SCA noise today.

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