An AI operating system built on context engineering.
Tenkr engineers context around every interaction — loading your project state, briefing each agent for its task, and verifying output before you see it. Same Claude. Better context. Better output.
See How It Works ↓Context Engineering
Other AI tools start from zero every session. Tenkr engineers context around every interaction — loading your project state, briefing each agent for its task, and verifying output before you see it. This is structural, not magical. Three mechanisms make it work.
Context Injection
Before every session, Tenkr loads your project architecture, your recent work, and your operational priorities. Before every prompt, methodology checks are appended. Six lifecycle points, each one shaping what the system knows at that moment.
Agent Briefing
Every agent receives a domain-specific briefing before it starts work. An investigator checks your data, your tools, and your documented patterns — not just source code. A builder receives your conventions and quality standards as part of its assignment.
Quality Verification
The system defines what "done" looks like before starting work. When an agent finishes, it must provide evidence — not just claim completion. Built-in gates block output that does not meet the criteria you set.
Architecture
Commands — what you type. One command handles the rest.
Agents — who does the work. Domain experts briefed for their task.
Skills — how it gets done. Reliable procedures, every time.
Memory — what persists. Context that carries forward across sessions.
You define the domains
Two businesses running Tenkr will have very different systems after a month. You define the domains that match how your business actually operates.
Sales Operations
Pipeline tracking, client follow-ups, proposal generation — your sales process, encoded and running.
Client Services
Meeting prep, status updates, deliverable tracking — client work that runs itself.
Engineering
Code reviews, sprint coordination, deployment workflows — your dev process, automated.
Finance
Report compilation, variance analysis, budget tracking — numbers without the manual work.
Capabilities
Coordinated AI Teams
One agent investigates. Another builds. A third verifies. They work the same problem from different angles, each carrying the context for their specific role — not a single model trying to do everything at once.
Domain-Specific Agents
A finance analyst that catches variance and flags anomalies. A project manager that tracks deliverables across three clients. Your domain expertise, encoded into agents that carry it forward.
Reliable Workflows
Pull the latest figures from your database, cross-reference against the project timeline, and format the status report. One command chains three operations into a consistent result. The same workflow runs the same way every time — no drift, no missed steps.
Compounding Memory
Session notes written automatically after every conversation. Decisions indexed and searchable. After a month, the system knows your clients, your conventions, and your process — without being told twice.
Extensible Integration
Connect any tool that has an API. Native REST integrations where possible, CLI tools when they exist, open protocols when nothing else fits. Add new services without rebuilding the system.
The Compounding Effect
Session 1
- Set your preferences and conventions.
- Connect your tools and data sources.
- Run your first command. See the first result.
Session 100
- Knows your clients, your conventions, your process.
- Prepares today's context before you type a word.
- Runs your methodology — not a generic playbook.
The system does not improve because the model gets better. It improves because the context does.
Connected Operations
Your email, calendar, documents, and databases — queried as a unit before every interaction. The system cross-references your schedule against your inbox against your project docs, not one tool at a time.
Captured Conventions
Which clients get Tuesday follow-ups. Which reports need variance analysis. Which meetings need pre-briefs with attendee context. The system captures how you work — not how a template says you should.
Encoded Methodology
Your process — the actual way your team operates — encoded into repeatable workflows. Not a generic playbook. A system that reflects the decisions you have already made, refined over weeks of use.
Security & Trust
Your data, your machine, your Claude API key.
Tenkr runs locally. Your keys, your emails, and your files never leave your machine.
Currently works with Claude by Anthropic.
You bring your own API key. You control the model and the cost directly.
No proprietary connectors.
Native APIs, CLI tools, open protocols — Tenkr uses whatever integration path works best. No vendor lock-in.
Built on 12 months of daily production use.
Early access is open. Join the waitlist.