# AgentOS Review A shared company brain that gives every AI agent your team uses the same business context, tools, and workflows in one place. ## Editor's Score: 68/100 Capability scores 18 because the MCP-based shared context layer and per-agent access controls are genuinely differentiated features that no named directory competitor offers in the same form, but the product is early and Otto's coordination behavior under failure conditions is undocumented. Ease of use scores 19 because the site claims setup takes an afternoon, the free tier needs no credit card, and the four-step onboarding flow is clearly described, though the credit system adds a layer of complexity that a flat-rate tool avoids. Value scores 16 because the Starter plan's 1,000 monthly credits for $20/month is thin for real automation workloads, the Team plan reaches $457/month for five people, and monthly credits that do not roll over structurally penalize uneven usage patterns. Delivery scores 15 because no independent user reviews, third-party benchmarks, or audit results were found for this product at the time of review, making it impossible to verify that Otto and the Skills system perform as described at scale. ## Pros - MCP-based integration means AgentOS connects to Claude, ChatGPT, Cursor, and custom agents without replacing any of them, so adoption does not require ripping out existing tools. - Per-agent access controls let you grant Claude read-only Gmail access while blocking it from the finance folder, a genuinely useful permission layer that most workflow builders skip entirely. - The free tier requires no credit card and includes 300 welcome credits at signup on top of the 200 monthly allowance, giving new users 500 credits to run a real evaluation. ## Cons - Monthly credits do not roll over, so a team that runs heavy automation one week and nothing the next still loses unused credits at the calendar month boundary, a structural waste for uneven workloads. - The Team plan's $299/month base covers only three people; a fourth seat adds $79/month, making a five-person team cost $457/month, which is steep for a product that does not yet publish third-party benchmark data or independent audit results to justify the price. - Otto, the built-in manager agent, is central to how AgentOS coordinates work across tools, but the product gives no public documentation on how Otto handles failures, retries, or conflicting instructions from multiple connected agents, leaving buyers to discover those limits after purchase. ## Pricing Freemium. A free tier is available. - Free: $0 - Starter: $20/mo - Pro: $99/mo - Team: $299/mo - Enterprise: Custom Pricing reflects what we saw at the time of review (2026-11). Confirm current pricing on the official site. Category: AI Agents & Automation (https://aitoolseekers.com/category/ai-agents-automation) Official site: https://tryagentos.net/ Last verified by a human: 2026-11-11 Reviewed by a human at AI Tool Seekers, a hand-reviewed AI tools directory. Every listed tool is verified by a person before publishing. Scores are editorial opinions from a fixed rubric (capability, ease of use, value, delivery on promise) and cannot be bought; there is no pay-to-rank. Directory: https://aitoolseekers.com This review: https://aitoolseekers.com/tools/agentos Methodology: https://aitoolseekers.com/how-verification-works ## Verdict AgentOS is the right pick for small teams that already use multiple AI agents and are tired of re-explaining their business in every new chat window. Its credit-based model keeps costs predictable but also means heavy automation users will hit ceilings fast, especially on the $20 Starter plan's 1,000 monthly credits. If your team needs deep workflow governance, audit trails, or enterprise compliance out of the box, look at TRam Studio instead. Best for: Small teams running multiple AI agents who want shared business context without rebuilding it per tool Not for: Enterprise teams needing audit trails, governance, or compliance controls on a fixed budget ## Overview AgentOS (at tryagentos.net, built by Devcore) is a business-context layer that sits between your team and the AI agents they already use. The core idea: connect your email, Slack, HubSpot, files, and calendar once, and every agent you allow, whether that is Claude, ChatGPT, Cursor, or a custom bot, draws from the same up-to-date company knowledge instead of starting blank. A built-in manager agent named Otto coordinates work across those agents and hands tasks between them. The product organizes itself around three pillars: Context (messages, docs, calls, and records made searchable across agents), Tools (integrations with per-agent access controls, so Claude can read Gmail but not touch the finance folder), and Skills (reusable workflows like client prep briefs or renewal follow-ups that any agent can trigger). Agents connect over MCP, the Model Context Protocol, which means AgentOS does not replace the tools your team already runs. It plugs into them. Where AgentOS differs from a generic workflow builder is the access-control layer. You can grant or restrict each connected agent's read and write permissions per integration, which matters when you are letting multiple AI tools touch live CRM data. The free tier gives 200 credits per month, enough to evaluate the product but not to run meaningful recurring automation. The $99/month Pro plan's 6,000 credits is where solo power users will actually live. One naming caveat worth flagging: several unrelated products share the AgentOS name, including a UK property CRM, an open-source developer framework, and an Agno runtime product. This review covers only the Devcore product at tryagentos.net. ## Who should use it AgentOS fits a solo operator or small team (two to five people) that has already adopted two or more AI agents and keeps losing time re-establishing context in each one. A consultant who preps client calls with Claude, drafts follow-ups in ChatGPT, and tracks deals in HubSpot will get immediate value from a single connected workspace where Otto can pull the right context for each task automatically. The Skills feature is particularly useful for anyone running the same multi-step workflow weekly, like renewal follow-ups or release notes, where the steps are predictable but the underlying data changes. Teams that need formal audit logs, role-based governance across dozens of users, or compliance controls (SOC 2, HIPAA, data residency) should look elsewhere until they reach the Enterprise tier, where those features exist but pricing is custom and opaque. TRam Studio is the better fit for that buyer: it is built explicitly around auditability and governance on Azure, with pilot options designed for regulated environments. Orkas suits a developer or technical solo user who wants a local-first, open-source agent coordinator they can run entirely on their own machine without a SaaS subscription. ## FAQ Q: Does AgentOS work with Claude and ChatGPT, or do I have to switch to a new AI tool? A: AgentOS connects to Claude, ChatGPT, Cursor, and custom agents over MCP without replacing them. You keep using the AI tools you already have; AgentOS supplies the shared context and coordinates handoffs between them. Q: What happens to unused credits at the end of the month? A: Monthly credits renew each calendar month and do not roll over. Credits you purchase separately cost $10 per 500 and never expire, so buying extra credits is the way to bank usage across months. Q: How much does it cost to add a fourth person to the Team plan? A: The Team plan includes three people at $299/month. Each additional person costs $79/month and adds 6,000 pooled credits. A four-person team costs $378/month; a five-person team costs $457/month. Q: Is there a free trial, or do I need a credit card to start? A: The Free plan requires no credit card. It includes 200 monthly credits plus 300 welcome credits at signup, giving you 500 credits to evaluate the product before committing to a paid plan. Q: What is a Bot in AgentOS? A: A Bot is an agent that wakes itself up on a schedule and completes recurring work autonomously, such as prepping client call briefs or chasing follow-ups, without a human triggering each run. Q: Does AgentOS offer annual billing, and is it cheaper? A: Yes. Annual plans include two months free: Starter is $200/year, Pro is $990/year, and Team is $2,990/year. The Free and Enterprise tiers are unaffected by the billing cycle.