Lithos AOS
The Agentic Operating System for Enterprise Scale
Every company deploying AI agents is operating without an infrastructure layer — no identity, no budget controls, no audit trail. Lithos AOS is that layer.
Lithos AOS provides a native MCP (Model Context Protocol) host environment, allowing autonomous agents to securely interface with enterprise data through a standardized, schema-driven architecture.
Lithos AOS is currently in development - contact us to be apart of the testing of our Foundation, a suite comprised of: Conductus, Pulsus, Enchiridion and Stoa.
Essentials
The Problem
Companies are deploying AI agents faster than they can govern them. Most have no good answer to any of these questions:
How do we move data between our systems and AI tools without writing bespoke integration scripts for every connection — and without skipping certain degrees of validation?
What happens when an agent produces bad data? Does it get reviewed, or does it slip through to a destination automatically?
Which agents are running right now, and are they healthy? If one fails silently, how long before anyone notices?
How much is each agent spending on AI compute? Is there a hard limit, or does the bill just keep growing?
Are our policies actually being enforced, or do they exist in a document that no system has ever read?
Who approved that action? When an agent does something consequential, is there a record of whether a human signed off — or did it just happen?
Are we compliant right now? Not as of the last audit six months ago — right now, today?
How do we know an agent's credentials haven't been compromised — and if they have, can we revoke them immediately?
Is every agent starting from scratch on every task, or is there a shared record of what's worked and what's failed across the fleet?
Where did this data come from, and what happened to it between the source and the destination?
Where do we go to see errors, performance, and activity across all agents and services in one place?
How do agents and services communicate without being so tightly coupled that changing one breaks another?
If an agent needs to run code, where does it do that safely — with a time limit, no network access, and a full audit record?
If something goes wrong, can we prove exactly what happened — what ran, what was approved, what data moved, and when?
What Lithos AOS Does
Lithos AOS sits between your business and your AI agents. It can construct data flows with 100% OpenAPI schema enforcement success rate, enforces the rules, watches the spending, logs every action, and makes sure humans stay in the loop for anything consequential.
| What You Need | How Lithos AOS Delivers |
|---|---|
| Build data flows between systems | Conductus lets you register any API as a destination by pointing it at an OpenAPI spec — Lithos AOS reads the spec and builds the expected schema automatically. You define the flow: source (database, file drop, webhook, or manual), field mappings, and destination. The structure of every record is validated against the destination's schema before it leaves your system. Failures are routed to a human review queue. A complete audit log is kept for every run. |
| Route failed records to a human reviewer | Any record that fails validation is held in a queue. A human can approve, flag, or override it — then Lithos AOS pushes it or discards it. Nothing broken slips through automatically. |
| Connect to agents you already have | Works with OpenAI, Anthropic, Google Gemini, Amazon Bedrock, and any custom framework over a standard protocol (MCP). Agents connect once via MCP and interact with Lithos AOS tools directly — no custom integration code required. |
| Know which agents are alive and working | Every agent sends a heartbeat on a regular cadence. If one goes silent for more than 30 seconds, Pulsus flags it and Phylax is alerted immediately. |
| Control spending on AI | Modus tracks every token and dollar spent, per agent, per model. Hard daily and monthly caps cut agents off automatically — no human needed — and the cost breakdown is always visible. |
| Enforce your policies | Lex stores your rules in plain language — who can access what, when, under what conditions. Every agent action and every data flow is checked against those rules in real time before it executes. |
| Human sign-off on policy-gated actions | When an agent's action triggers a policy requiring approval, Lithos AOS automatically halts it and raises a proposal. The action resumes only when a human approves — or is cancelled if rejected or unanswered. |
| Run continuous compliance checks | Verum scans the entire platform on a schedule, compares current state against active policies, scores overall compliance 0–100, and automatically raises a remediation proposal for every gap it finds. |
| Give agents a verifiable identity | Arca issues short-lived cryptographically signed credentials (JWTs) to every agent. They expire hourly by default. Suspend an agent and every one of its credentials is revoked in seconds. |
| Surface institutional knowledge across agent runs | Mnemos stores outcomes across every agent run. Before executing a known task type, an agent queries Mnemos for stored patterns first — reducing repeated failures and unnecessary compute costs. |
| Track where every piece of data has been | Chronos records the full journey of every record — source, transformations applied, destination, schema version at time of processing. The complete lineage is queryable at any time. |
| See what's happening across the platform | Vigilo collects performance traces, metrics, and error reports from every service and agent in one place. Spot problems before they become incidents. |
| Broadcast events across the fleet | Nuntius is a lightweight message bus. Agents and services publish events to named topics ("run completed", "threshold reached"); subscribers pick them up in real time or on their own schedule. |
| Execute code in a controlled environment | Castra runs code in an isolated environment with a hard time limit and output cap. No network access, no shell escapes. Every submission, output, and error is saved for audit. |
| A complete, permanent audit trail | Every action, decision, and data transfer is logged. Immutable. Searchable. Always available for compliance or incident review. |
What Lithos AOS IS
Foundation — Data Movement & Agent Health
Validated data pipelines (Conductus) — schema-validated records with failure queues; every record is checked before it leaves the system
Agent health monitoring (Pulsus) — heartbeat tracking with configurable staleness windows; silent dropouts trigger automatic quarantine alerts
Live API self-documentation (Enchiridion) — agents discover platform capabilities at runtime without hardcoded endpoint knowledge
Security — Identity & Behavioral Control
Behavioral oversight (Phylax) — per-agent deviation scoring, real-time event tracking, automatic kill-switch on rogue agents
Non-human identity management (Arca) — short-lived RS256 JWTs for agents, per-token revocation, JWKS endpoint for downstream verification
Intelligence — Memory, Lineage & Cost
Data lineage (Chronos) — full provenance of every record through every pipeline; point-in-time schema diffs and rollback
Long-term agent memory (Mnemos) — agents log experience records and query for known failure patterns before acting; backed by semantic search
Budget enforcement (Modus) — hard token and cost caps per agent per provider; exceeding the cap triggers an automatic Phylax kill
Governance — Policy, Compliance & Approvals
Policy-as-code enforcement (Lex) — rules that define what agents are allowed to do; evaluated at runtime, not just at deployment
Continuous compliance auditing (Verum) — scheduled scans against active policies, 0–100 compliance score, automatic remediation proposals
Structured approval workflows (Agora) — consequential actions require human sign-off before execution; full audit trail of every vote
Observability — Tracing & Telemetry
Distributed tracing (Vigilo) — OTel-compatible spans, metrics, and error reports aggregated across the entire fleet
Communication — Inter-Agent Signaling
Persistent event bus (Nuntius) — decoupled pub/sub signaling between agents and services with TTL-based retention and live SSE streams
Execution — Sandboxed Code Running
Sandboxed Python execution (Castra) — isolated subprocess with timeout, output cap, and full audit log of every submission
What Lithos AOS Is NOT
Not an AI model, inference layer, or LLM provider
Not a hallucination eliminator — agents can still produce semantically wrong outputs; Lithos AOS catches structural and behavioral violations, not factual errors
Not a prompt engineering tool or fine-tuning platform
Not a guarantee that agents make correct decisions — only that their decisions are governed, auditable, and stoppable
Not an agent framework (LangChain, AutoGen, CrewAI, etc.) — it governs agents built with those tools
Not a data warehouse or analytics platform — Vigilo and Chronos are operational telemetry, not BI
Not an on-prem product — hosted SaaS; agents connect to the Lithos AOS API, they do not run it themselves
In short: Lithos AOS is the infrastructure layer that makes AI agents accountable. They are not smarter, not safer by default, but observable, bounded, and stoppable when they're not.
Identity
Every AI agent is issued a short-lived, cryptographically signed credential before it can touch anything. Credentials expire automatically and are revoked instantly on quarantine — no manual cleanup.
Phylax · Arca
Policy
Your organization's rules are stored as structured policies and evaluated in real time against every agent action. A denied action stops immediately. An action requiring approval is held until a human decides.
Lex · Verum
Budget
Each agent operates against a defined spending limit. Token usage is tracked per transaction. When the balance reaches zero, the agent is cut off automatically — no on-call engineer required.
Modus
Approval
Any action flagged as consequential — data leaving the system, spending above a threshold, modifying a critical record — is physically blocked until an authorized reviewer approves or rejects it. Silence is a rejection.
Agora
The Eight Pillars of Lithos AOS
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Apps: Conductus · Pulsus · Enchiridion · Stoa
The core stability layer. This pillar handles validated data movement, continuous agent health monitoring, and unified platform documentation to ensure the system remains upright and discoverable.
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Apps: Phylax · Arca
The hardened perimeter. This pillar provides behavioral oversight for every agent in the fleet and manages a secure, zero-trust vault for non-human identities and credentials.
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Apps: Lex · Verum · Agora
The rules of engagement. This pillar transforms policy into code, runs continuous compliance audits, and manages structured multi-sig approval workflows for high-consequence actions.
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Apps: Chronos · Mnemos · Modus
The cognitive engine. This pillar manages the complete biography of your data (lineage), provides agents with persistent long-term memory, and enforces strict token-spend governance.
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Apps: Vigilo
The telemetry backbone. This pillar provides end-to-end distributed tracing and metrics aggregation, allowing engineers to visualize every hop and latency spike across the entire agent stack.
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Apps: Nuntius
Inter-agent signaling. A persistent, high-velocity event bus that decouples agent communication from data pipelines, allowing for lightweight pub/sub signaling across the fleet.
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Apps: Castra
Fortified compute. This pillar provides containerized, resource-capped, and fully audited environments for agents to execute code without risking host system integrity.
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Apps: Pontis
Multi-agent coordination. This pillar manages complex, multi-step task graphs (DAGs), resolving resource conflicts and tracking inter-agent dependencies across the workflow.
Planned feature, not currently implemented.