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FAFO™ AgentOS

FAFO™ AgentOS

Verified
AI-Native

The operating system for autonomous work

Dedicated tenancy
Works offline
Global
Self-hostable
Audit Logs
+5
Autonomous
Last updated: Oct 20, 2026
Enterprise
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Quick Answer

AI

FAFO™ AgentOS is an AI agent operating system for governed autonomous work, compiling conversations into auditable execution systems. It provides per-action cost attribution and durable recovery, validated with 2,000 concurrent workers and 0% failures. Best for regulated industries and engineering teams needing auditable, production-grade AI deployments. Pricing is workload-dependent; early access is available.

About FAFO™ AgentOSAI

FAFO™ AgentOS is an AI agent operating system for governed autonomous work. It compiles conversations into governed execution systems with contracts, grounding, budgets, recovery, review, and evidence. It provides authority, durable recovery, evidence packets, and per-action cost attribution for fleets of AI agents.

AI-extracted from public sources. May contain errors. Methodology · Report an error
What Makes FAFO™ AgentOS UniqueAI

AgentOS provides a durable governance layer around multi-agent execution, with work orders, contracts, evidence, recovery, and cost attribution that survive sessions and models. It compiles the entire execution and governance system from a conversation, rather than requiring manual orchestration design.

Decision Intelligence

Best For

AI
Organizations in regulated industries requiring auditable AI deployments
Software engineering teams needing governed autonomous work
Teams putting AI in charge of real work with accountability
Organizations seeking to manage AI operations beyond pilot mode
Teams needing to attribute AI spend per action, role, and model
Pricing Overview

Type

Enterprise

Dimension Scores

· 3.6 avg

How good it is, across universal quality axes

Ease of Use2/10
Customization2/10
Support4/10
Integration1/10
Compliance & Data Protection2/10
Performance5/10
Planning Quality9/10
AI-analyzed from product data·High confidenceHow we score

Task Scores

· 8.5 avg

What it can do, per category it works in · showing 10 of 10 tasks scoring 5+

Error Recovery10/10
Agent Coordination9/10
Task Delegation9/10
Parallel Execution9/10
Role Specialization9/10
Observability9/10
Scalability9/10
Human Oversight7/10
Communication Protocol7/10
Consensus Handling7/10

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Capabilities
Automation
Agent
Memory
Data Analysis
Code
Search
Observability
Categories
Multi Agent Systems
Automation Agents
Code Assistant
Developer Platform
Legal Compliance
LimitationsAI
  • -Early access is limited to a select number of teams
  • -Pricing is not publicly available and depends on workload mix
  • -Requires NVIDIA GPUs for Inference Fabric for optimal performance
  • -No hosted source-code custody at any tier (self-hosted only)
Fit Score

Complexity

Advanced

Company Size

Small
Medium
Enterprise

Team Size

Small Team
Large Team

Skill Level

Expert
Features
Governed execution system with contracts, grounding, budgets, recovery, review, and evidence
Per-action cost attribution by phase, role, model, and token
Authoritative work graph for auditing every decision and transition
Independent gatekeeper for QA and adversarial review before work closes
Durable state and deterministic recovery in under 5 seconds
Model independence with routing to local or frontier models per task
FAFO™ Memory for grounding agents with code, decisions, and references
Self-hosted deployment with customer-controlled hardware and storage
Technical Capabilities
SDK Available (unknown)
MCP Compatible (unknown)
Multi-Agent
Human-in-Loop
Team Features
Webhook Support (unknown)
Has Demo
Function Calling (unknown)
Sandbox Mode (unknown)
Audit Logs
No Signup
Works Offline
Requires Host App
Framework
MCP Server

Deployment

Self Hosted
HITL mode:
Approve
Compliance, Privacy & Trust
GDPR: No info available
SOC 2: No info available
HIPAA: No info available
Trains on user data: Unknown
Data deletion: Upon Request
Model isolation: Dedicated
Human review:
Recommended
Tech Specs
Response time (est.):
Moderate

The Model(s) Behind It

Model details — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

Training Data Provenance
Not disclosed
Relevant to EU AI Act Art. 53 / Annex XI (GPAI)
Supported Tools
search_code
trace_symbol_dependencies
explain_code_path
search_observations
create_observation
search_references
Pricing Plans
Custom pricing — contact sales for a quote.

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User Reviews

No reviews yet. Be the first to review!

Platform, Content & Languages
3 content types
1 languages
CodeTextDocumentEnglish+4 more

Content Types

Code
Text
Document

Accepts

Text

Produces

Text
Code
Document
Languages: English

Frequently Asked Questions

Trust Score

—

Insufficient data

Not enough verifiable data to score yet

Confidence: High

Reflects publicly available data, not an independent audit

Compliance & Verified38/38
VerifiedYes
Human ReviewYes
Human-in-the-loopYes
HITL TypeYes
Reliability0/10

No published data

Company17/17
Company ListedYes
Health—

Not yet checked

AI-Assisted Data

Some details are AI-generated estimates — verify with the vendor.

AI-generated estimate: Best For, Description, Limitations, Quick Answer, Tagline, What Makes Unique

How we source data

AI Governance & Regulatory Disclosures

Legally-sensitive fields — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

EU AI Act Risk Tier
Unclassified

Switching & Migration

Migration Difficulty
Significant Effort
Support:
Email
Quick Stats
Agent TypeAutonomous
MemoryPersistent
PlanningAdvanced
Base ModelCodex GPT-5.5 +2
PlatformsWeb, API
VerifiedOct 2026
Company & Links

Company Name

Convergence Information Foundry Research Systems LLC

Based in

United States

Documentation