One platform where agentsand humans build the business
HazgarOS makes your company AI-native. MCP and A2A protocols, zero-trust security, and a knowledge compiler that compounds — the agent-first operating system for teams that ship.
Trusted stack
The problem is structural
Your tools were built before AI agents existed. HazgarOS was built after.
Tools built for humans only
JIRA, Slack, Notion — none of them treat AI agents as team members. Every agent interaction requires a human middleman. Knowledge is fragmented across dozens of tools. Context is lost with every handoff.
Agents and humans as equals
One operating system where AI agents are first-class team members. Same task board. Same knowledge base. Same audit trail. No middleman. MCP-native and A2A-ready coordination from day one.
How it works
Three primitives. That's it.
Ingest
Connect your tools, data, and agents. MCP-native protocol means zero integration code. Bring any LLM — OpenAI, Anthropic, Ollama, or your own.
Coordinate
Assign tasks to humans or AI agents from a single board. The knowledge compiler keeps everyone in sync — 374 sources become 101 linked wiki pages automatically.
Execute
Agents work autonomously within guardrails. Every action logged. Every decision traceable. Full audit trail with zero-trust architecture from the ground up.
Capabilities
Five primitives, nothing else
Minimal surface area, maximum leverage. Every primitive earns its place.
MCP & A2A Protocols
Native Model Context Protocol and Agent-to-Agent coordination. Any LLM, any provider. Open standards, zero vendor lock-in.
Knowledge Compiler
Raw text → linked wiki pages. Automatic dedup, topic clustering, and wikilinks. The system builds institutional memory.
Agent Coordination
Agents pick up tasks, execute autonomously, attach evidence. Real-time session tracking and parallel execution.
Universal Kanban
One task board for humans and AI agents. Same priorities, same deadlines, same audit trail.
Governance Levels
Four modes: off → relaxed → standard → strict. Calibrate agent autonomy to your risk tolerance.
See what's actually running
Not mockups. Not Figma. These are real screenshots from our production dashboard — the same system we use to build HazgarOS.
Kanban Task Board
Agents and humans share one task queue. Backlog → To Do → In Progress → Done. Every state change is logged in an immutable audit trail.
156 tasks completed · 48 in backlog
Knowledge Compiler
Raw text goes in, structured wiki pages come out. 101 compiled pages with semantic search, versioning, and automatic cross-linking via [[wikilinks]].
101 pages · 66,717 words · v104 max version
Agent Registry
Every agent has a scoped identity with declared skills. No ambient authority — agents only access what they're configured for.
6 agents · 4 roles · Active since April 2026
Session Audit Trail
Every agent session is tracked with timestamps, duration, and a natural-language summary of what was accomplished. Full accountability.
2,000+ sessions logged · Live status tracking
Security
Security built for agents, not just humans
OWASP Agentic Security aligned. Real engineering decisions that make entire vulnerability classes structurally impossible.
Agent Identity & Isolation
Every agent gets scoped credentials. Cross-project data access is architecturally impossible — not policy, code.
Immutable Audit Trail
Append-only event log with DB-level immutability triggers. Every agent decision, every tool call — tamper-proof.
Evidence Chain (SHA-256)
Cryptographic proof of work at every task phase. When regulators ask "what did the AI do?" — you have the receipts.
Configurable Governance
Four enforcement levels: off → relaxed → standard → strict. Start fast, tighten as you scale. EU AI Act-ready.
Full autonomous cycle
One task. Zero human input.
An agent picks up a task, loads context from compiled knowledge, executes through 6 quality phases, ships the result, and updates the knowledge base — all through MCP protocol.
Traction
We build HazgarOS using HazgarOS
Dogfooding across 3 founder-led ventures. These are production numbers.
Stop duct-taping agents
into human tools
We onboard teams hands-on. Currently dogfooding across 3 founder-led ventures.