Nairi vs Devin
Cognition's Devin is a polished, managed coding-agent product with a serious enterprise sales motion. Nairi is the open-runtime team-agent platform. Pick the harness per agent, mention it from Slack or Discord, run the agent's reasoning and customer data on your own hardware via an open-source daemon if you need to. Here's an honest side-by-side.
In short
Devin is one of the most mature managed AI-coding products you can buy today. Deep first-class Slack integration, the rebranded Windsurf IDE (Devin Desktop), a dedicated Devin Review PR-review specialist, turnkey Auto-Triage for channel monitoring, a curated MCP marketplace, a broad set of hosted runtime environments, SOC2 Type II compliance. If you're buying an enterprise agent product where every primitive is hosted and managed, the depth Devin offers there is real.
Nairi sits at a different point. The agent's reasoning, harness, tool execution, secret access, and customer data all run inside an open-source Go daemon (nairid) that you host on your hardware. Event routing - Slack mentions, scheduled jobs, API calls - flows through Nairi's backend over a WebSocket; customer code and tool output never do. Shared-chat agents in Slack and Discord pick the harness per agent (Claude Code, Codex, OpenCode). LLM cost is pass-through to your provider key. No ACU quotas, no metered active-runtime billing. One shared team agent in a channel; rules, skills, and MCP servers at the org level.
Honest framing: pick Devin if you want the most polished managed product and you're comfortable with Cognition's harness, the ACU pricing model, and the Brain running on Cognition's cloud. Pick Nairi if you need the agent's reasoning, tool execution, and customer data to run on your own hardware (event routing still goes through Nairi's backend), you want harness optionality in shared-chat agents, or you'd rather pay your LLM provider directly than buy thinking-time quotas.
Side by side
Structural differences first, then the areas where Devin matches or wins.
Self-host the agent runtime where the data is
The nairid daemon is open-source Go. Reasoning, harness invocation, model calls, tool execution, secret access, and customer data all run inside the daemon on your hardware. Docker, Kubernetes, a VM, a constrained network. Nairi's event-routing backend (Slack mentions, scheduled jobs, API calls → which agent should handle this) flows through Nairi's cloud over a WebSocket; the customer's code, secrets, and tool output never do.
Devin has no fully self-hosted option. Enterprise Cloud runs the Brain and Devbox in Cognition's cloud; Customer Dedicated Deployment relocates only the Devbox sandbox into a customer VPC (AWS PrivateLink), while the Brain - which calls models and decides actions - is per their docs "always residing in Cognition's Cloud."
Pick your harness in shared-chat agents
Per-agent choice across Slack, Discord, and the web app: Claude Code, Codex, or OpenCode. Bring your provider key. Mix harnesses across the same org for different jobs.
Devin Desktop (the rebranded Windsurf IDE) supports the Agent Client Protocol locally, so Claude Agent, Codex, and OpenCode load there. Devin Cloud - the SaaS product behind Slack and Auto-Triage - is locked to Cognition's own harness. Users on the cloud harness don't pick which models are available or when they change.
LLM cost model
Pass-through to your LLM provider per the chosen harness. You bring your Anthropic / OpenAI / Google key; the agent's thinking time costs you what your provider charges. No metered active-runtime billing on top.
ACU-based quotas under monthly tiers (Free / Pro $20 / Max $200 / Teams $80 + $40 per developer seat / Enterprise); Teams includes unlimited members, so only full developers take a paid seat. Numeric ACU allowances aren't disclosed on the public pricing page, and overage is billed at "API pricing." Because ACUs meter active runtime rather than successful output, cost scales with how long the agent runs.
Slack and Discord, symmetric
Slack and Discord are both first-class. The same agent runs in either, with the same rules, skills, MCP, and config. Install, pick channels, mention.
Slack is first-class and deep (@-mention, thread chat, quick keywords like !ask, emoji-reaction status). Microsoft Teams is supported. Discord is not - the Integrations Overview page lists only Slack and Teams under Communication.
Team-shared agent abstraction in channels
Agents are owned by the org. Anyone in the channel can mention them. Rules, skills, and MCP servers apply at the agent level, not the user level. Conversation state lives in the thread, available to everyone on it.
Devin's Slack model is session-per-trigger inside a thread. The web app and Auto-Triage have their own orchestration. Workspace API keys are per-workspace, and per Cognition's docs MCP scope is "shared within your organization" - admin-gated at the org level rather than configured per agent for a team.
GitHub-native PR review specialist
PR review is one of several use cases. A GitHub Action calls the Nairi REST API on PR open; the agent runs in its own container with the harness and tools you configured.
Devin Review is a dedicated PR-review product with inline review comments, Review Autofix that pushes follow-up commits, and GitHub Enterprise Server support. If PR review is the only workflow you care about, Devin ships a deeper specialized surface here.
Persistent channel monitor + auto-PR
Achievable via skills + scheduled jobs + MCP servers, but not packaged as a single turnkey feature.
Auto-Triage is a turnkey product: persistent Devins monitor Slack channels, Linear, GitHub, Sentry, Datadog, PagerDuty, and webhooks; auto-investigate, dedupe reports, route to owners, open PRs. Per-channel Automations templates configure it.
Hosted long-running primitives
Per-agent containers with the harness and tools configured. Scheduled jobs for cron-style runs. No multiagent orchestration primitive today.
Memory, multiagent orchestration (parallel Devins), evaluation tooling, computer-use for desktop testing, and a broad set of hosted runtime environments with local-to-cloud handoff. Cognition ships heavily in this space.
MCP marketplace breadth
Per-agent MCP configs. Composio-hosted MCPs supported alongside self-hosted MCP servers. Custom MCP via stdio / SSE / HTTP.
A curated MCP marketplace of popular servers (Datadog, Sentry, Linear, Postgres, Notion, and others), built in and admin-gated. MCP scope is organization-level. Built-in Secrets feature for MCP credentials.
Enterprise procurement and brand
Earlier-stage on the enterprise motion. SaaS at nairi.ai plus the self-host option for teams that need it.
SOC2 Type II compliance. Customer Dedicated VPC deployment for regulated buyers. Cognition's enterprise sales motion is materially more mature.
Devin descriptions reflect Cognition's public docs at docs.devin.ai, devin.ai/blog, and devin.ai/pricing as of July 2026. Cognition ships product changes frequently; verify the current behavior before relying on any specific detail.
Run the agent's reasoning and data on your own hardware
Devin has no fully self-hosted option. The two enterprise deployments are Enterprise Cloud, where the Brain and the Devbox both run in Cognition's cloud, and Customer Dedicated Deployment, which relocates the Devbox sandbox into a customer VPC over PrivateLink or IPSec - but the Brain (the orchestration plane that calls models and decides actions) is per Cognition's docs "always residing in Cognition's Cloud."
That's the right shape for organizations that are comfortable depending on Cognition's cloud for the brains of the agent. It's the wrong shape if your procurement, compliance, or data-residency posture treats "where does the agent do its reasoning and touch our data" as a load-bearing question. Regulated industries, government contractors, certain financial-services accounts, air-gapped or sovereign-cloud deployments, or any deal where the security review asks where the agent's Brain runs.
Nairi's split is different. The nairid daemon is open-source Go and runs the agent's reasoning, harness invocation, model calls, tool execution, secret access, file edits, and branch pushes inside the daemon on your hardware. Run it in Docker, on Kubernetes, on a single VM, or in a constrained network where outbound is restricted to Nairi's WebSocket. Nairi's event-routing backend turns Slack mentions, Discord messages, scheduled jobs, and API calls into invocations that flow to your daemon over a WebSocket. Customer code, secrets, tool output, and model-call payloads never leave your hardware; only the trigger metadata (which agent, which channel, which scheduled job fired) does.
Where this lands vs Devin: Cognition's Brain calls models, makes plans, and coordinates actions in Cognition's cloud - so model-call inputs and outputs touch their infrastructure even in Customer Dedicated. Nairi inverts that split. The Brain is on your side of the wire; only event routing is on Nairi's side. If your bar is "the agent's reasoning and our data must run on our hardware," Nairi's architecture meets it. If your bar is "no third-party cloud touches anything ever," neither product meets that - be honest about that with your security team.
Most teams take the managed SaaS at nairi.ai because they don't want to run a daemon; the self-hosted path exists for teams that need to answer "yes, the agent's reasoning and our data stay on our infrastructure" during procurement. See the self-hosting docs for the exact split, what runs where, and the WebSocket boundary.
Pick the harness for your shared-chat agent
Devin Desktop, the rebranded Windsurf IDE, supports the Agent Client Protocol locally, so Claude Agent, Codex, OpenCode, and other ACP-compatible runtimes load into the IDE on your laptop. That's a real concession to harness optionality. The gap is that Devin Cloud, which is where Slack, Auto-Triage, and shared-chat agents live, is still locked to Cognition's own harness. When the available models on the cloud harness change, users on it have no choice in the matter.
Nairi treats harness as a per-agent setting in shared chat. One agent on Claude Code where it has the edge, one on Codex where it's strong, one on OpenCode for the open-source-stack path. Each agent has its own provider key. The choice isn't structural; it's a config field. You can mix harnesses across the same org and change them later without re-platforming.
The bet is that harness optionality matters more over time, not less. New harnesses ship every few months. New models with new capability curves arrive on different schedules. Teams that lock to one vendor's runtime pay the switching cost later. Nairi makes harness a config setting so the choice can change without rebuilding the team's agent platform.
Pay your LLM provider directly
Devin's pricing structure is a monthly tier (Free, Pro $20, Max $200, Teams $80 + $40 per developer seat with unlimited members, Enterprise) with ACU quotas under each tier. The numeric ACU allowance per tier isn't disclosed on the public pricing page, and overage is billed at "API pricing" that also isn't posted publicly. The predictability question is real: ACUs are spent on agent active-runtime, not on successful output, so cost scales with how long the agent runs on a problem, and larger or longer-running tasks are harder to forecast than a flat subscription.
Nairi's pricing has no metered-runtime layer. LLM cost is pass-through to your provider key (Anthropic, OpenAI, or Google) per the chosen harness. The agent's thinking time costs you what your provider charges at their posted rates, not a Nairi-side multiplier. The team subscription covers the platform; the LLM bill is yours, directly, at posted rates.
Light, bursty usage might come out cheaper on a managed metered model than on per-provider rates plus a team subscription. The Nairi shape wins when usage is consistent enough that paying for thinking-time becomes the larger line item, or when cost predictability matters more than the raw cents-per-run.
Where Devin wins
Honest comparison pages are honest both ways. Here's where Cognition's managed product has the edge and we wouldn't try to claim parity.
Devin Review for PR review
A dedicated PR-review product with inline review comments, Review Autofix that pushes follow-up commits when fixes are mechanical, and GitHub Enterprise Server support. If PR review is the workflow you care about most, the specialized product is deeper than a general agent platform handling it as one use case.
Auto-Triage as a turnkey product
Persistent channel-monitor across Slack, Linear, GitHub, Sentry, Datadog, PagerDuty, and webhooks, with auto-dedupe, owner routing, and auto-PRs. Nairi can replicate the pattern via skills + scheduled jobs + MCP but not as a single one-click feature.
Hosted infra breadth
Memory, multiagent orchestration (parallel Devins), evaluation tooling, computer-use for desktop testing, and a broad set of hosted runtime environments. Cognition ships heavily in this space.
A curated MCP marketplace
Popular servers like Datadog, Sentry, Linear, Postgres, and Notion, built in and admin-gated at the org level. Nairi supports per-agent MCP including Composio and self-hosted servers; the catalog isn't pre-curated.
Devin Desktop polish
The rebranded Windsurf IDE is genuinely good. Local ACP runtime support there is a real concession to harness optionality on the laptop, even if it hasn't reached Devin Cloud yet.
Enterprise procurement gravity
SOC2 Type II compliance and AWS Marketplace-class distribution. Cognition's enterprise sales motion is materially more mature.
Common questions
What teams ask when they're weighing the two.
Run the agent's work on your terms
Pick the harness per agent. Mention it from Slack or Discord. Self-host the daemon if you need the agent's reasoning and customer data on your hardware. Pay your LLM provider directly.