Technical Whitepaper & Architecture Deck
Fathom Systems Architecture
The definitive 42-page engineering and economic blueprint for universal autonomous AI employee fleets.
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Browse the Complete 42 Slides
Use keyboard arrows [← / →] or swipe on mobile to navigate through the high-density architectural slides.
Structure & Outline
8 Parts. Complete Transparency.
From microbenchmark latency numbers to multi-tenant agency unit economics.
Executive Summary & Vision
The autonomous workforce shift, multi-agent coordination, and universal runtime architecture.
Archetypes & Day-in-the-Life Workflows
SDR, Talent Scout, DevOps Maintainer, Chief of Staff, and Back-Office Accounting personas.
High-Precision Coding & Governed Computer Use
Snapshot-anchored patching, AST repo-mapping, git worktrees, and ARIA accessibility tree navigation.
OSINT Lead Generation & Proactive Webhooks
7 search backends, 5-stage SMTP verification gates, and inbound webhook event reactors.
Enterprise Security, Micro-Sandbox & Guardrails
Hardware AES-256-GCM vault, bwrap/Seatbelt host sandboxing, and hard financial budget caps.
SIMD Semantic Memory & GraphRAG Triples
SIMD-accelerated HNSW vector search (1.62ms), RDF knowledge graph triples, and 2-way Obsidian sync.
Hardware Efficiency & Benchmark Analysis
Tokio async concurrency, 15.4 MB RAM footprint, and empirical Rust vs Python benchmarks.
Economics, Agency Scaling & Strategic Roadmap
Flat monthly seat pricing, unlimited neural compute economics, and agency multi-tenancy.
Systems Verification
Verified Runtime Specifications
| Benchmark / Metric | Fathom (Rust Runtime) | Standard Python Stacks (LangChain / CrewAI) | Architectural Mechanism |
|---|---|---|---|
| Tool Dispatch Overhead | ~0.75 ms / batch | 240 – 480 ms | Zero-cost serde serialization & Tokio Green Threads |
| Memory Footprint (Idle / Active) | 15.4 MB RAM | 450 – 850 MB RAM | Zero GC overhead, jemalloc native memory management |
| Entity Graph Traversal (3-Hop) | 1.62 ms | 45 – 120 ms | Embedded SQLite recursive CTEs & FTS5 indexing |
| Secret Exposure Surface | 0.00% (Zero-Prompt Exposure) | High (Plaintext in LLM context) | Hardware AES-256-GCM vault, memory-only TLS injection |
| Single Server Worker Capacity | 100+ Concurrent Employees | 4 – 8 Workers (OOM collapse) | Tokio JoinSet async I/O multiplexing |
| Operator Interaction Surface | Fathom Bot (Local Chat App) + TUI / Web | Headless scripts / single-turn web chat | React 19 + Electron harness, per-bot models & permissions |
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