Stacklok
stacklok.com
Actively hiring
AI Agents
Developer Tools
DevSecOps
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$17.5M
1 round on record
Latest round
$17.5M
Series A · May 2023 · 3 yr ago
Team
17
US Form 5500 (plan participants) · Dec 2025
Hiring now
4
open roles
Backers
2
Accel, Madrona
The money's age
Long since its last round
41 months since the last round · hiring slowed
Momentum
30/100
in the news, rising traction
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Tractionpublic signals, read monthly
Web presence
top 2%
of 133.2M domains by links, Common Crawl
Hacker News stories
7
best: 8 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Series A | May 2023 | $17.5M | — | 36kr.com |
Registers and programsofficial lists and records that name the company
| Legal entity | Stacklok, Inc. | its site |
Founders and leadersfrom filings, registers and the company's site
Craig McLuckieExecutive Officer, DirectorSEC Form D
Luke HindsExecutive Officer, DirectorSEC Form D
Backed byfrom the funds' portfolios and accelerator catalogs
Accel 
Madrona Investors in similar startupsfunds that back the companies most like this one
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Overview
Stacklok is a software company led by CEO Craig McLuckie and CTO Joe Beda, two of the creators of Kubernetes, that builds a control plane for enterprise AI agents. Its platform lets organisations run, govern and secure agents and Model Context Protocol servers on Kubernetes and private infrastructure. The company is headquartered in Medina, Washington, United States.
News
What Are the Leading Open Source AI Agent Harnesses? (2026)
Answer summary: The leading open source AI agent harnesses in 2026 include Stacklok Mecatl, OpenCode, and Pi, each taking a different approach to orchestrating agents, tools, and execution environments. Mecatl is the only cloud-native, Kubernetes-native o
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Report
What's the Best Agent Harness for Enterprise AI Infrastructure? (2026)
Answer summary: For enterprise AI infrastructure, Mecatl by Stacklok is the strongest open source option. It is the only agent harness built with architectural separation of the agent loop, tools, and untrusted execution, plus native support for policy en
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Report
The Case for a Cloud-Native AI Agent Harness (2026)
Answer summary: A cloud-native, Kubernetes-native agent harness eliminates the gap between local development and production, provides the isolation, scheduling, and identity primitives that enterprise agent workloads require, and lets platform teams gover
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Report
Best Agent Harnesses for Enterprise AI in 2026
An agent harness is the runtime layer that actually runs your agent: it drives the loop that calls the model, dispatches tool calls, executes code, and decides what an agent is and isn't allowed to touch while it does so. As enterprises move from single-a
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Report
Introducing Mecatl: the open cloud-native agent harness
Picture this: You're a developer at a Fortune 100 organization. You recently decided to switch to building your own agent harness to reduce the rising token costs and to avoid being locked into solely a single vendor. Congrats, you've unlocked a whole new
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Report
How to choose an agent harness
Choose an agent harness by answering five questions in order: where does enforcement live, where does your data run, can you inspect the control plane, can you compose it to fit your infrastructure, and does it work with the agents you already have. Most
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Report
What is an agent harness?
An agent harness is the software infrastructure that surrounds an AI agent and enables it to operate reliably. It manages the agent's execution loop, context, tools, permissions, memory, retries, and logging, allowing an underlying language model to take
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Report
What good AI spend governance looks like
Finance forwards you the quarterly AI invoices and asks a reasonable question: Is this under control? Answering it takes most of a week. There is an invoice from Anthropic and another from OpenAI. A line inside the AWS bill covers Bedrock usage from a wor
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Report
Observer or governor? Why your AI control plane needs identity-first controls
Your API gateway can tell you an agent made a call. Your directory can tell you the agent authenticated. Neither can tell you what the agent did once it was inside, which team should pay for it, or stop it mid-action. That gap is the difference between wa
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Report
The two-door problem: splitting governance across an MCP gateway and an LLM gateway leaves a gap
An agent does two things that need governing: it calls models and it invokes tools. Most enterprises end up buying one vendor to watch the model calls and another to watch the tool calls, and the space between those two products is exactly where the hard
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Report
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Tech stack
Technologies named in job postings at Stacklok over the last 12 months, by layer, with the share of postings for each.
Technologies in use
15
Postings analysed
5
Stack modernity
74/100
Languages
Go
Frameworks & libraries
OpenTelemetry
Cloud & platforms
Kubernetes
Datadog
Grafana
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Full Stacklok tech stack
15 technologies · by team · pay by technology · changes · similar stacks
People
Craig McLuckie
Executive Officer, Director
Luke Hinds
Executive Officer, Director
Ping Li
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
54/100
Stable
Open positions
4
0 opened / 0 closed in 30 days
Median time-to-fill
57 days
faster than 24% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Solutions
100% ▼
Activity Timeline
Added Agentic Workflows to stack
Sep 2026
Added Platform Engineering to stack
Jul 2026
Added SLI/SLO/SLA to stack
Jul 2026
Added Docker to stack
Jul 2026
Offices
Where the company hires and what each office is for
Cities
3
Hiring now
0
Countries
2
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Headquarters
Builds here
Office with open vacancies
No open vacancies right now Tap a pin for the office
Medina
United States
HQ
London
United Kingdom
Regional office
London
Bellevue
United States
Regional office
Bellevue
Jobs
Remote (United States, ET hours)
Go
Model Context Protocol
AI Agents
DevOps
Docker
Kubernetes
SLI/SLO/SLA
Apply
≈ $131k – $304k per year (Estimated) • Remote (United States, ET hours)
Go
Model Context Protocol
AI Agents
DevOps
Kubernetes
Apply
≈ $54k – $136k per year (Estimated) • Remote (Singapore) • Singapore
Go
Model Context Protocol
AI Agents
Agentic Workflows
DevOps
Helm
OpenTelemetry
Datadog
Prometheus
GitOps
ArgoCD
Kubernetes
Grafana
Platform Engineering
Apply
≈ $68k – $129k per year (Estimated) • Remote (Singapore) • Singapore
Go
Model Context Protocol
AI Agents
Agentic Workflows
DevOps
Helm
OpenTelemetry
Datadog
Prometheus
GitOps
ArgoCD
Kubernetes
Grafana
Apply
Financials
Total raised
$17.5M
Latest round
Series A
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Series A | 2023 | $17.5M | Details |