JetBrains Central vs Augment Cosmos: Control Plane Comparison

Teams that need a deployable AI control plane today can verify GA availability, published pricing, and documented governance controls for Augment Cosmos right now. JetBrains Central remains in Early Access in the public materials available for this comparison.

Augment Cosmos is a unified cloud agents platform that runs AI agents across the software development lifecycle with shared context, persistent memory, and governed execution. It is generally available today with published pricing, and the Cosmos security page documents data handling, ISO/IEC 42001 certification (achieved in 2025), and governance controls such as SAML/OIDC/SCIM, SIEM, CMEK, and replayable audit.

What I Evaluated and Why It Matters

For this comparison, a control plane is the governance and operational layer above individual AI coding tools and agents. It centralizes policy enforcement, observability, and runtime control across an organization's AI-assisted development activity. Both JetBrains Central and Augment Cosmos claim this position, so the comparison matters for anyone standardizing agent workflows across teams.

Without centralized policy, observability, runtime boundaries, and auditability, teams can end up with overlapping local agent workflows that are hard to govern consistently.

I evaluated architecture, governance, security and compliance, integrations, context, pricing, and documented outcomes. I flagged vendor-reported metrics as such and noted where public materials leave gaps.

JetBrains Central is in Early Access, and the materials available for this comparison did not include public hands-on reviews. Much of the Cosmos documentation is vendor-authored. Read both with that caveat.

Architecture: A Shipping System vs an Announced Layer

Cosmos exposes Environments, Experts, and Sessions as core primitives, adds Capabilities and Triggers as additional building blocks, and runs on top of the Augment Code Context Engine. JetBrains Central describes three capability layers in Early Access. The architecture comparison separates one GA product with documented primitives from one EAP product organized around documented capability layers.

JetBrains's public Central description breaks into five documented points:

• Central positions itself as the control and execution plane for agent-driven software production, providing governance, cloud-based agent runtimes, and a shared semantic layer that gives agents a system-level understanding of your code organization, according to a JetBrains research post on AI tool usage.
• The JetBrains Console overview describes Central as a platform that connects tools, agents, and infrastructure so AI workflows can run, be monitored, and be managed across teams, with visibility into results and costs.
• The platform organizes around governance and control via the Central Console, agent execution infrastructure, and context management for agents.
• Central uses a layered system intended to avoid vendor lock-in, framed in JetBrains's Central launch announcement.
• Central launched on March 24, 2026 into a closed EAP starting in Q2 2026, with the Console and Air available separately in public preview. The public JetBrains materials available for this comparison do not document GA availability or published Central pricing.

Central's public architecture is clear at the concept level, though Early Access status limits hands-on verification.

Cosmos is a cloud platform for coordinating AI agents across software development lifecycle workflows, using shared context and persistent memory across Environments, Experts, and Sessions. It launched into public preview on May 3, 2026, reached general availability shortly after, and is included on every paid plan.

The architectural dimensions that come up most often in procurement conversations look like this side by side:

In Cosmos, each automation is an Expert with its own prompt, integrations, environment, secrets, event triggers, subscriptions, worker experts, and more. Experts map to workflow phases such as triage, authoring, review, and verification, a pattern documented in a Cosmos incident management walkthrough. On the JetBrains side, Air is a dedicated agentic development environment for delegating coding tasks to multiple agents, while Central provides the control and execution plane above agent-driven software production. That stack spans an agentic development environment, governance console, cloud runtimes, and shared semantic context.

Governance and Policy Enforcement

Cosmos lists admin controls for SAML/OIDC/SCIM, granular RBAC, SIEM integration, replayable runs, and human approval controls. JetBrains Central currently documents license assignment, usage tracking, credit management, AI audit logs, and company-wide MCP policies across Central Console and AI Enterprise. For procurement, Cosmos documents SIEM integration, human approval controls, and replayable agent runs that do not appear in the JetBrains Central sources reviewed.

JetBrains Central Console gives admins license assignment with AI Credits, access management, spending controls, and usage tracking, as outlined in the Central AI management guide. AI Enterprise lists AI audit logs, zero data retention, and company-wide MCP policies as current features, with usage analytics dashboards on the 2026 roadmap per the AI Enterprise product page. The role model defines Org admin, Team admin, Purchaser, and other named roles with differentiated permissions in the Central roles reference. Company-wide MCP policies are documented in JetBrains AI Enterprise; the Cosmos documentation reviewed did not list an equivalent organization-wide MCP policy control.

Teams building standards on top of Cosmos follow a straightforward workflow. They capture a workflow, set permissions, configure environments and approval gates, roll an Expert into team workspaces, and feed runs into shared memory. Cosmos sessions are auditable and replayable, with human approval controls for actions that matter, a pattern covered in the AI SDLC reference architecture. Immutable configuration files enforce system-wide policy settings and take precedence over user-level settings, per the Auggie CLI hooks reference.

Three Cosmos controls did not appear in the reviewed JetBrains Central sources: SIEM integration, human approval controls, and replayable agent runs. Those gaps appear side by side in the table below:

JetBrains has published Central Console documentation for organization management, AI Credits, usage controls, and policy management. Central-specific governance detail remains limited by Early Access availability.

Cosmos targets fragmented local setups by letting teams define permissions, environments, and approval gates before they roll an Expert into team workspaces. That approach helps teams that build overlapping agent workflows before approved configurations exist.

Security and Compliance

Cosmos holds SOC 2 Type II and ISO/IEC 42001 certification with documented CMEK and data residency controls. JetBrains holds SOC 2 Type II and GDPR, though the public materials available for this comparison do not list ISO/IEC 42001 or Central-specific data-handling controls. The compliance comparison is partly asymmetric because Central is in Early Access.

Both platforms hold SOC 2 Type II. JetBrains published its 2024/25 report on November 20, 2025, per the JetBrains Trust Center, with reports available under NDA according to the SOC 2 audit announcement. Cosmos's SOC 2 Type II status is documented on the Cosmos security page.

The main compliance gap in the reviewed sources is ISO/IEC 42001. Augment Code became the first AI coding assistant to achieve ISO/IEC 42001 in 2025, certified by Coalfire, as documented in the ISO/IEC 42001 certification announcement. The certification has been in place for roughly a year, making it an established differentiator rather than a recent addition. The standard covers AI-specific areas that regular security audits can miss, including how a vendor handles training data, monitors model behavior, and manages algorithmic decisions. JetBrains has not listed this certification. For organizations with AI governance mandates or EU AI Act exposure, that gap addresses concerns SOC 2 Type II does not cover.

The certification and data-handling dimensions summarize side by side below:

JetBrains lists GDPR in its privacy and trust materials, per the JetBrains Trust Center page. On data handling, Cosmos does not train on customer proprietary data, and its CMEK approach means revoking key access terminates data access entirely. JetBrains AI Enterprise describes BYOK, zero data retention, and MCP policies. The available public JetBrains AI product and legal pages do not state whether JetBrains uses customer code for training, and they do not document Central-specific data-handling controls.

Cosmos also documents regulated-environment deployment controls including on-prem, VPC isolation, single-tenant instances, and air-gapped deployment. JetBrains IDE Services documentation describes a self-hosted option for on-premises code completion in its AI Enterprise management guide, though retrieved sources do not describe VPC and single-tenant options.

For CISOs and procurement teams, the retrieved Cosmos sources document ISO/IEC 42001, CMEK, data residency, SIEM integration, and air-gapped deployment. The retrieved JetBrains Central sources do not list Central-specific equivalents. Part of that gap exists because JetBrains Central has not shipped its security documentation; the reviewed sources do not prove those controls are absent.

Toolchain Integration

JetBrains documents integrations through JetBrains IDEs, TeamCity, and YouTrack. Those products cover IDE workflows, CI/CD, and issue tracking for teams already using the JetBrains product set. Cosmos documents IDE support for VS Code and JetBrains IDEs, MCP setup for tools such as CircleCI, MongoDB, and Redis, and configuration surfaces for Cosmos workflows.

The available integration evidence separates into JetBrains components and Cosmos-facing docs:

• The JetBrains Console overview describes the platform generally, though I did not find a dedicated JetBrains Central integrations page in the materials available. Integration details come from JetBrains component products (TeamCity, YouTrack, Rider) that form Central's tool set. TeamCity integrates with GitLab, GitHub, TFS, and Bitbucket for version control and Jira for issue tracking, described in the TeamCity GitLab integration reference. YouTrack supports VCS integrations plus GitHub Actions, GitLab CI, Jenkins, and Azure Pipelines, listed on the YouTrack integrations overview. For organizations standardized on JetBrains IDEs, Central's governance layer sits atop tooling teams already use.
• Cosmos supports Auggie CLI, VS Code, JetBrains IDEs, and Vim/Neovim, as detailed in the feature availability matrix. Configuration details live in the Cosmos configuration guide, and Easy MCP setup for CircleCI, MongoDB, and Redis is covered in the MCP setup documentation. Slack-related agent behavior appears in the Augment Code product changelog. GitHub and GitLab support runs across the development platform integrations, and Cosmos works through MCP and native integrations.

That source split explains why the table compares JetBrains's broader product set with Cosmos's documented workflow surfaces.

JetBrains integrations concentrate in IDE workflows, TeamCity, and YouTrack. Cosmos integrations are event-driven for connected services such as GitHub and Slack, and they extend to GitLab and Jira via webhooks with reactions to CI-related GitHub events. VS Code and JetBrains IDEs function as editor integrations, while Cosmos event subscriptions cover the trigger surfaces. Teams already using TeamCity and YouTrack can keep IDE workflows, CI/CD, and issue tracking inside the JetBrains product family. Teams with mixed toolchains can use Cosmos event subscriptions across GitHub, GitLab, Slack, Jira, and CI, and can also use VS Code and JetBrains IDEs without requiring TeamCity or YouTrack.

Large Codebase Context and Multi-Repo Understanding

The Context Engine has more public implementation detail than JetBrains Central's shared semantic layer. The largest scale figures come from vendor reporting rather than independent benchmarks, and the reviewed materials did not include a public independent head-to-head benchmark.

The Context Engine supports 400,000+ files and monorepos, and agents use broader repository context as they trace dependencies across services. Under the hood, the engine uses custom AI models and separate indices per developer to handle branch switching, an architecture walked through in the real-time codebase index post.

JetBrains describes only a shared semantic layer that gives agents a system-level understanding of your code organization. The reviewed Central sources did not specify maximum file count, indexing latency, context management details, or cross-service dependency graph details.

The context and memory dimensions map to the following comparison:

On model routing, Cosmos uses Prism to route turns across a configured model pool. JetBrains AI Enterprise supports JetBrains AI, OpenAI, Azure OpenAI, Vertex AI, and Bedrock, with per-profile selection covered in the AI Enterprise management guide. Both offer model flexibility; Cosmos presents routing as a control-plane-level capability, while JetBrains configures selection per developer.

For teams evaluating monorepo context, Cosmos documents vendor-reported large-codebase processing, multi-repo support, persistent memory, and MCP availability. JetBrains Central publicly documents a shared semantic layer without those scale figures.

Pricing and Deployment

Cosmos has published plan details; the reviewed Central sources do not. Central's Early Access status limits what buyers can compare directly.

The Cosmos Business plan runs $100/month as a flat charge covering up to 50 pooled seats, detailed on the Augment Code pricing page. Usage meters as LLM cost at the provider's public API list price, plus a 40% service fee on LLM usage, plus Cosmos compute time. This flat-plan structure replaced the earlier Indie, Standard, and Max tiers in the 2026 pricing update.

The Business plan includes:

• Cosmos
• CLI
• MCP and native tools
• Usage analytics
• Standard compute
• Daemon mode
• 50 concurrent sessions
• SOC 2 Type II
• No AI training on data

The Enterprise plan uses custom pricing and supports unlimited users. It adds CMEK, ISO 42001, SIEM integration, data residency, granular access controls, audit trails, and enterprise SSO through SSO, OIDC, and SCIM.

I did not find a dedicated JetBrains Central pricing page in the reviewed public sources. AI Pro and AI Ultimate are the two license tiers that include AI Credits, according to the AI management docs. The JetBrains AI Enterprise page lists enterprise capabilities and a request-a-demo path, though no public Central dollar figures were disclosed in the reviewed sources.

Documented Outcomes: Read Both Cautiously

The reviewed materials did not include an independently conducted study measuring delivery outcomes for either product. All quantitative claims originate from the vendors themselves, and no product-specific DORA metrics appeared in the reviewed materials. Vendor-reported capability claims do not automatically translate into organizational delivery improvement.

Cosmos performance and capability metrics are vendor-published examples tied to the product's documented context architecture, code review, onboarding, and incident-management materials. To keep those metrics tied to concrete capabilities, I separated capability-level observations from delivery-outcome claims:

• When I evaluated the Context Engine for large-repository reasoning, the documented capability was architectural-level context across large codebases because semantic dependency graph analysis follows dependency chains, call flows, type definitions, and cross-repository relationships.
• When I evaluated Augment Code Review in vendor-authored materials, the relevant claim was that the reviewer gathers repository context before commenting.
• When I evaluated Auggie CLI for complex multi-file task orchestration, the relevant product claim was that the agent plans multi-step tasks, executes terminal commands with approval, and keeps edits inside one workflow.
• When I evaluated Prism model routing, the relevant product claim was that Cosmos routes turns across a configured model pool with per-turn selection.
• When I evaluated Augment Code for onboarding-style codebase exploration, the relevant product claim was that the Context Engine and memory surface repository patterns, conventions, and prior implementation examples.

Together, these remain vendor-authored capability claims that lack independent delivery-outcome evidence.

JetBrains reports a 2024 internal survey where 91% of respondents saved time using AI Assistant, with some reporting up to 8 hours per week in the JetBrains AI Assistant time-savings survey. This vendor-reported survey used a self-selected sample. Treat both products' outcome claims as vendor-reported or vendor-surveyed unless independent evidence appears.

Both platforms also document the need for human review and steering. Cosmos lists human approval controls, and both platforms require human steering.

Which Platform Fits Which Team

For a CTO or staff engineer evaluating now, the decision depends on GA availability and JetBrains product fit.

Choose JetBrains Central if: your organization is standardized on JetBrains IDEs and already uses TeamCity and YouTrack, you can wait for Early Access to mature into GA, and you want a governance layer across Central Console, cloud agent runtimes, and a shared semantic layer. JetBrains puts IDE workflows, CI/CD, and issue tracking under one vendor through JetBrains IDEs, TeamCity, and YouTrack. The Air-plus-Central architecture spans an agentic development environment, governance console, cloud runtimes, and shared semantic context. The tradeoff is reliance on an Early Access roadmap with no published pricing or Central-specific compliance documentation yet.

Choose Augment Cosmos if: you need a generally available control plane today. Cosmos also fits teams where ISO/IEC 42001 certification matters for governance mandates or EU AI Act exposure. It fits regulated environments that require documented CMEK and air-gapped deployment. For mixed toolchains, Cosmos's event-driven integration across GitHub, Slack, Jira, and CI matters more than IDE-specific depth. The tradeoff is that Cosmos benchmark claims lack independent validation.

For CISOs, ISO/IEC 42001 and documented CMEK key-revocation control are the two differentiators that show up as shipping features, while the JetBrains equivalents remain on the roadmap. For staff engineers evaluating primitives, Cosmos's Environments, Experts, and Sessions map to runtime concerns teams would otherwise build internally.

Evaluate Deployable Controls Before Roadmaps

Availability determines what buyers can verify today. JetBrains Central describes governance across Central Console, cloud agent runtimes, and a shared semantic layer. Cosmos ships today with documented governance, ISO/IEC 42001 certification, and CMEK key control. If you are architecting a control plane for the next fiscal year, start by inventorying pricing, identity, audit, runtime approval, deployment boundaries, and context scale. Then match each required control to public documentation before committing to an agent platform.

FAQ

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