One platform where agentsand humans build the business
HazgarOS makes your company AI-native. Agents and humans share one compiled knowledge base, one task queue, one audit trail — with every fact versioned and every action traceable.
Trusted stack
AI agents are acting on stale data
47% of digital workers can't find the information they need. Companies are losing lawsuits and suffering outages because of it.
Facts decay. No one notices.
Air Canada's chatbot cited an outdated policy — they lost the lawsuit. Amazon's AI followed a stale wiki — it caused a retail outage. RAG retrieves document chunks but can't tell if they're still true. Flat memory stores like Mem0? Audits show 97.8% junk data.
Compiled knowledge. Versioned facts.
Raw data compiles into structured wiki pages with semantic links. W3C PROV supersession chains track every fact's evolution. Confidence decay archives unreinforced knowledge automatically. Every agent and every human works from the same compiled truth.
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 — raw operational documents become linked wiki pages automatically. 101 pages compiled as of May 13, 2026.
Execute
Agents work autonomously within guardrails. Every action logged. Every decision traceable. Full audit trail with zero-trust architecture from the ground up.
Capabilities
Six primitives, nothing else
Knowledge compilation at the core. Everything else built around it.
Knowledge Compiler
Raw text → compiled wiki pages with semantic [[wikilinks]]. W3C PROV provenance chains. 8 compiler versions (KCV1–KCV8). Not search — synthesis.
Fact Lifecycle
W3C PROV supersession chains + confidence decay. Facts have a lifecycle — unreinforced knowledge automatically loses priority and archives.
Autonomous Healing
Cron validates wikilinks, deduplicates, and auto-splits divergent pages when coherence drops below 0.35. Self-maintaining knowledge graph.
MCP-Native Runtime
16 atomic tools via open protocol. Any LLM connects instantly. 110M+ monthly SDK downloads — MCP is the de facto standard. Zero vendor lock-in.
Universal Kanban
One task board for humans and AI agents. Same priorities, same deadlines, same audit trail. Agents pick up work autonomously.
Process Integrity
SHA-256 evidence chain, RBAC, DB-level project isolation. EU AI Act-ready (Aug 2026). Configurable governance: off → relaxed → standard → strict.
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 a forensic audit trail.
200+ tasks orchestrated · live status tracking
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.
Timestamped sessions · Natural-language summaries
Compliance & Auditability
Auditable by design, not by afterthought
Built through the lens of a pentester. W3C PROV provenance tracking, EU AI Act compliance, and cryptographic evidence chains from day zero.
W3C PROV Provenance Chains
Cryptographically secure audit trail tracking every fact from source to compilation. When regulators ask "where did the AI get this?" — you have the receipts.
EU AI Act Ready (Aug 2, 2026)
Mandatory data provenance requirements for high-risk AI systems take effect August 2, 2026. Retrofitting costs 4-5x more. HazgarOS provides compliance out of the box.
DB-Level Project Isolation
PostgreSQL Row-Level Security ensures cross-project data access is architecturally impossible. Not policy — code.
Configurable Governance
Four enforcement levels: off → relaxed → standard → strict. SHA-256 evidence chain on every action. Start fast, tighten as you scale.
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
As of May 24, 2026 — internal dogfooding across founder-led ventures.
Stop duct-taping agents
into human tools
Currently in internal dogfooding phase. External pilots opening Q3 2026 — leave a note for early access.