Plain-language agent planning
Teams can describe an agent in plain language and have Lunen draft a structured execution plan with named tools, scoped data, and a schedule.
Lunen
Lunen is an AI governance and agent-control platform that lets teams build agents in plain language while approving actions and keeping an audit record. It is aimed at teams and enterprises that want to run agents in production systems with policy controls.
AI agent governance for teams and enterprises
Lunen is an AI governance and agent-control platform for teams that want to build agents without losing oversight. The product centers on a single workflow: someone describes the agent they need, Lunen drafts the execution plan, and the team decides which actions can run automatically and which require approval.
The home page positions Lunen as a way to make AI usable in real work systems while keeping every action on the record. Pricing is organized around Operational Control for teams running agents in production, with an Enterprise plan for organizations that need dedicated deployment, private networking, and longer retention. A Solo plan is listed as coming soon.
Core capabilities
Allow-or-approve policy control
Each connected MCP tool can be set to run unattended or require human approval before each call, letting teams separate read access from write actions.
Unified audit trail
User actions and agent actions are recorded in a unified audit log, and the product page says each event can show who acted, what was approved, what model ran, and which data it touched.
Team governance baseline
Operational Control includes role-based access control, unlimited users, agents, and connected systems, plus 50,000 tool calls per month and 90-day audit retention.
Enterprise deployment options
Enterprise adds dedicated deployment or BYOC, private networking, extended and regulated audit retention, custom tool-call volume, and dedicated support with an SLA.
Connected-system coverage
The home page shows support for tools such as Slack, HubSpot, Google, Atlassian, BigQuery, and any MCP server, indicating use across existing business systems.
Common ways teams use Lunen
Define internal agents without code
A subject-matter expert can describe a recurring business task in plain language, then review the generated plan before it is saved and scheduled.
Separate reads from writes
Teams can let agents search or read data from connected systems while requiring approval before actions that change records, send messages, or create objects.
Centralize accountability
Organizations that need oversight can keep both human and agent activity in one audit log for review, export, and security conversations.
Govern agents in existing systems
Teams already working in Slack, HubSpot, BigQuery, Atlassian, or similar systems can layer governance onto existing workflows instead of replacing the tools themselves.
Adopt org-wide controls
Larger organizations can use the Enterprise plan when they need dedicated deployment, private networking, or more specific retention and support terms.
Pros and Cons
Pros
- Combines agent building and governance in one workflow instead of treating them as separate systems.
- Supports approval controls at the level of individual tool actions, which helps teams review writes before they reach production systems.
- Provides a unified audit log for both user and agent activity, which is useful for review and accountability.
- Operational Control includes unlimited users, agents, and connected systems, making it suitable for team use cases.
- Enterprise options cover dedicated deployment, private networking, and extended audit retention for org-level needs.
Cons
- The product is in early access, and the pricing page says the first teams shape the pricing with the company.
- The Solo plan is not available yet; it is listed as coming soon.
- The source does not provide a full public list of integrations, deployment details, or security controls beyond the examples shown.
FAQ
How does Lunen control what an agent can do?
Lunen is designed so teams can define an agent in plain language, have it generate a structured plan, and then govern each tool action with allow-or-approve policies before it runs.
What plans does Lunen offer?
The pricing page shows an Operational Control plan for teams and an Enterprise plan for organizations that need dedicated deployment, private networking, and extended audit retention. A Solo plan is listed as coming soon.
What systems can agents connect to?
Lunen includes connected systems such as Slack, HubSpot, Google, Atlassian, BigQuery, and any MCP server shown on the home page examples.
How do teams build and run an agent in Lunen?
The home page shows a plain-language workflow: describe the agent, review the generated execution plan, set policy for reads and writes, and run it with actions recorded in the audit log.
Quick Facts
- Category
- AI governance / agent control
- Platform
- Web-based SaaS
- Primary users
- Teams and enterprises running agents in production
- Source domain
- lunen.ai
- Pricing
- Early access pricing for Operational Control; Enterprise by contact sales; Solo coming soon
- Notable workflow
- Describe agent → review generated plan → set read/write policy → run with audit trail
Альтернативы Lunen
ByteAsk
ByteAsk is a terminal-first AI coding agent for C and C++ that edits repositories and verifies changes with the real compiler, debugger, sanitizers, and tests before showing a diff. It offers a free tier plus paid plans, with editor connectors and zero-retention handling described in the source.
hob
hob is an independent workspace for coding agents that keeps agent sessions, terminals, history, and follow-up work organized around the tools and providers you already use. It is aimed at developers who want local control over routing, history, and workspace structure rather than a bundled model stack.
Manta AI
Manta AI is an autonomous web app testing tool for teams that want to map application behavior, catch regressions, and generate tests without writing scripts or maintaining selectors. It works from a URL and supports plain-English test flows, run results with screenshots, and scheduled or deployment-triggered checks.
SonOf
SonOf connects to your repo and PM tool, audits the codebase and surrounding product context, and turns approved work into shipped tickets with senior engineering review. It is aimed at founders and engineering leaders who need backlog help without hiring a full team immediately.
Ghost
Ghost — терминальный AI-ассистент для чата, генерации кода и запуска задач в командной строке. Бесплатные модели, Linux, macOS, Windows, open source.
AakarDev AI
AakarDev AI helps teams manage AI provider access, project-level setups, logs, and analytics from one dashboard. It supports BYOK workflows and lists providers including OpenAI, Google Gemini, Anthropic, Groq, Mistral AI, and Perplexity AI.