hasarak

Hasarak vs Swarmia

Personalized engineering agents

Hasarak is a Swarmia alternative for teams that want automatically managed agents to investigate engineering work across GitHub, Linear, Slack, Gmail, and any MCP-enabled tool. Hasarak keeps agents and context current, evaluates them, and personalizes findings for each team and user.

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How the approaches compare

Signals point at a pattern. Hasarak investigates the specific case behind it.

Swarmia
Signals for stale PRs and review bottlenecks, plus beta capacity-change signals
Hasarakautomatic
Investigations into the specific conflicts, drift, risks and unanswered requests across tools
Swarmia
AI analysis of the work behind a signal, with suggested actions
Hasarakautomatic
Every finding includes source evidence and a suggested action for review
Swarmia
Team and organization signals, delivered to a person or team
Hasarakautomatic
Investigations and findings adapt to each team and individual user
Swarmia
Signals that can be resolved, snoozed or sent in digests
Hasarak
A dedicated inbox with snooze, dismiss, and done controls
Agent upkeep

The work of keeping agents useful is part of the service.

Agents drift as code, teams and priorities change. With Hasarak nobody on your team has to write agents, compare them or keep them current.

Hand-managed agents

01Write and revise agent instructions
02Try different agents to find what works
03Build eval sets and review test runs
04Refresh the context agents rely on
05Tune agents for each team and person
Repeat whenever the work changes

Hasarak

Agents come built for engineering work
Hasarak picks and updates the agents
Evaluations run as part of the service
Working context stays current automatically
Findings are personalized per team and user
Your team reviews findings and approves actions.
Feature comparison

Hasarak and Swarmia, side by side

Buyer needHasarakSwarmia
Agent managementHasarak automatically manages agent updates and evaluations; no recurring agent upkeep for your team.Vendor-provided signals and AI analysis.
Current contextKeeps agents and connected working context up to date.Signals refresh daily as underlying data changes.
PersonalizationInvestigations and findings adapt to the team and individual user.Team and organization signals, with personal or team notification delivery.
IntegrationsGitHub, Linear, Slack, Gmail, and any MCP-enabled tool.Connected engineering work data and Slack/Teams notifications.
Bring your own subscriptionYes. Run managed agents on your own Claude or ChatGPT subscription.Not documented for Signals. Swarmia has its own plans; MCP connects data to your existing AI tools.
Investigation focusConflicts, drift, risks, and unanswered requests across tools.Stale PRs and review bottlenecks; capacity-change signals are in beta.
Evidence and next stepsFindings include source evidence and a suggested action for review.AI analyzes work behind a signal and suggests actions.
Review workflowDedicated inbox with snooze, dismiss, and done controls.Signals can be resolved or snoozed and delivered in digests.

Why choose Hasarak over Swarmia

Hasarak is the better fit when you want personalized investigations handled continuously without taking on agent maintenance. The system keeps its agents and context current and evaluates the agents for you. When a plan diverges from implementation or a request goes unanswered, you receive a finding with evidence and a suggested next step. That makes ongoing investigation support part of the service.

When to choose Swarmia

Choose Swarmia when engineering flow signals and team improvement patterns are the main job. Swarmia supplies its own signals and analysis.

FAQ

Do we need to maintain Hasarak's agents?

No. Hasarak manages their updates and evaluations and keeps the experience current and personalized. Your team reviews findings and decides which suggested actions to take.

Connect your tools. Hasarak manages the agents.

GitHub, Linear, Slack, Gmail and any MCP-enabled tool.

More comparisons

Swarmia capabilities are based on its public product pages, checked September 2026: