AgentComparison
Separate the tool types

Ready-made agent products

Start with the task and the permission boundary. A tool listing an action is not proof that it completes it reliably.

Documentation researched only. Pricing and eligibility vary by plan, region and workload; unresolved details are explicit. Performance has not been tested.

product · coding agent

Claude Code

Anthropic describes Claude Code as an agentic tool used from the terminal for tasks such as code migrations and bug fixes.

Documentation researched

Pricing: From $20/month (Pro, per Anthropic pricing page); usage limits apply

Best fit: Developers delegating repository changes from a terminal.

product · personal assistant

Comma

Comma describes a personal agent organised around ongoing Tasks, with connected apps, Mac access and a cloud computer.

Documentation researched

Pricing: Price not verified

Best fit: Personal or team app tasks that continue in a cloud environment.

product · software engineering agent

Devin

Cognition documents Devin as an autonomous software engineer that writes, runs and tests code, with an IDE, shell and browser.

Documentation researched

Pricing: Free (limited); Pro $20/month; Max $200/month; Teams from $80/month minimum

Best fit: Engineering teams delegating well-scoped, verifiable tickets.

product · customer-facing service and sales agent

Fin

Intercom positions Fin as a customer agent across service and sales, combining skills and knowledge with customer history and context.

Documentation researched

Pricing: From $0.99 per outcome; seat fees and minimums may also apply

Best fit: Customer-facing service and sales workflows.

product · personal assistant

Fo by Wajo

Wajo describes Fo as an action agent for real-world bookings, coordination, purchases and life administration, with human help when AI cannot complete a task.

Documentation researched

Pricing: Free plans advertised; real-world tasks use account credits

Best fit: Real-world coordination and life administration with vendor-assisted escalation.

product · personal assistant

Instinct

Instinct describes a personal assistant reached by text or call, connected to applications and devices.

Documentation researched

Pricing: Price not verified

Best fit: A messaging-first assistant connected to personal apps and devices.

product · personal assistant

Lucas

Lucas describes a text-native iMessage assistant for email, calendar, documents, reminders and automations.

Documentation researched

Pricing: Price not verified

Best fit: Personal administration through iMessage.

product · general-purpose task execution

Manus

Manus describes agent tools with a browser and file system that can execute tasks and create deliverables, including presentations and websites.

Documentation researched

Pricing: Credit-based; free daily credits documented; paid price unconfirmed

Best fit: Delivering task outputs rather than only answering questions.

product · personal assistant

Muse

Meta documents Muse as a personal agent for actions, reminders, ongoing conversations and file work.

Documentation researched

Pricing: Limited free use documented by Meta; paid price not established

Best fit: Personal reminders, ongoing tasks and artifact work.

product · personal assistant

OpenAI dots

OpenAI documents dots using permitted plugins and shared ChatGPT memory, with data-access and action controls.

Documentation researched

Pricing: Price not verified

Best fit: Personal connected-app work with shared ChatGPT context.

product · personal assistant

Poke

Poke documents an assistant in Apple Messages, Telegram, WhatsApp and RCS for email, scheduling, reminders and web search.

Documentation researched

Pricing: Price not verified

Best fit: Messaging-based email, calendar and reminder work.

product · application building agent

Replit Agent

Replit documents an agent that creates applications, sets up projects, checks its work and fixes problems from natural-language instructions.

Documentation researched

Pricing: Usage-based billing; no single price verified

Best fit: Building apps and related artifacts from natural-language requests.

Before choosing

Define success, the access you will grant, the approval points and how you will detect a failed task. A like-for-like decision needs those constraints before it needs a ranking.

Read the evidence method