Manus is an autonomous action engine that turns prompts into research, slides, websites, and other finished outputs. Tulsk is a shared operating workspace where people and persistent agents plan, execute, approve, and track ongoing company work.
work needs to live in shared projects, tasks, comments, schedules, approvals, and durable agent roles that the team governs over time.
Elige Manus si
you want a general autonomous agent to take a standalone request and return a polished research, presentation, website, data, or browser-based deliverable.
Se diferencian sobre todo en
Tulsk organizes continuing team operations around accountable work; Manus optimizes for autonomous execution and production-ready artifacts from individual tasks.
De un vistazo
Primero las dimensiones más diferenciadoras. Honestos donde ganan ellos, honestos donde ganamos nosotros.
Dimensión
Tulsk
Manus
Primary job
Coordinate ongoing projects and accountable work across people and agents
Execute autonomous tasks and return finished digital deliverables
Work structure
Projects, tasks, sprints, dependencies, comments, ownership, and activity history
Tasks and persistent Projects with shared files and instructions; not a full project tracker
Autonomous deliverables
Agents create files and complete work from chat, tasks, comments, channels, and schedules
Purpose-built flows for research, slides, websites, apps, design, data, and multimedia
Agent continuity
Named persistent agents with roles, skills, grants, schedules, history, and workspace files
Persistent Projects, instructions, files, Skills, and reusable task context
Browser work
Managed browser and sandbox tools inside agent runs
Cloud browser plus Browser Operator using authenticated sessions in your browser
Team governance
Workspace roles, scoped tool grants, approval-gated writes, run history, tasks, and comments
Team sharing, admin usage controls, pooled credits, permissions, and audit logs
Schedules
Recurring briefings and agent work delivered to chat, email, or connected channels
Scheduled tasks that run prompts automatically at a chosen time or cadence
Integrations and MCP
Workspace integrations, custom connections, agent grants, and a built-in MCP server
Native integrations, MCP connectors, custom MCP servers, Zapier, Slack, and API access
Pricing model
Monthly plan with included managed agent-work budget and no seat fee
Credits consumed by models, virtual machines, and third-party APIs; Team is per seat
Best fit
Teams operating recurring, cross-functional work with agents embedded in the workflow
Individuals and teams delegating self-contained knowledge work and digital production
Donde realmente divergen
Las diferencias que importan cuando empiezas a usar cualquiera de las dos herramientas.
Operations workspace vs action engine
Tulsk
Tulsk starts with the work system: projects, tasks, owners, comments, schedules, files, and approvals. Agents are durable teammates inside that system, so their output stays attached to the decision and the person responsible for it.
This is strongest when the same workflow repeats and several people need to review, redirect, or continue the work.
Manus
Manus starts with a request. Its agent plans the job, operates a virtual computer, researches or builds, and returns a finished artifact. Its documentation describes a sandbox with internet access, persistent files, and installable software.
Projects add reusable context, but the product remains centered on autonomous tasks rather than a task board or sprint system.
Accountability vs artifact breadth
Tulsk
Tulsk makes agent activity legible through tasks, threaded discussion, run history, scoped connections, and approval gates before external changes. The emphasis is accountable execution across an ongoing workspace.
Manus
Manus has a broader purpose-built artifact surface: Wide Research, presentations, websites and full-stack apps, design, visualizations, and multimedia. It is the stronger choice when the finished artifact itself is the primary outcome.
Persistent agents vs persistent projects
Tulsk
A Tulsk agent keeps an identity, operating skill, sandbox files, tool grants, schedule, approval policy, and run history. Teammates can invoke that same specialist from chat, a task, a comment, or a channel.
Manus
A Manus Project keeps instructions and files so future tasks begin with the same context. Manus Skills package reusable procedures, while scheduled tasks and integrations repeat execution without reconstructing the prompt each time.
Included budget vs task credits
Tulsk
Tulsk plans include a managed agent-work allowance and do not charge per teammate seat. Optional third-party integration costs remain with the customer.
Manus
Manus consumes credits according to task complexity and duration, including LLM tokens, virtual machines, and some third-party APIs. Monthly credits reset; Team plans pool credits across paid seats, and additional usage may require a higher tier or add-ons.
La prueba de encaje
¿Cuál eres tú?
Elige Tulsk si…
Projects, tasks, ownership, comments, and approvals must be the system of record
You want named agents that keep a role, skill, sandbox, grants, and history over time
Agent work begins from operational events such as tasks, schedules, chat, and team channels
Several teammates need to inspect and govern recurring agent work without per-seat pricing
Los planes publicados de ambos productos. Verificado por última vez en mayo de 2026.
Tulsk
Cloud only
Free$0
$5 of work once per account, no card
Starter$39 / mo
$50 of agent work, up to 6 agents
Pro$99 / mo
$120 of agent work
EnterpriseCustom
Contact sales
Manus
Cloud only
Free$0
Limited credits and access to core capabilities
ProFrom $20/mo
Monthly credits and full capabilities; higher tiers available
TeamVariable
Per-seat plan with a shared credit pool and admin controls
EnterpriseCustom
Sales-assisted security and organizational requirements
Usando ambas
Manus supports MCP connectors and custom MCP servers, while Tulsk provides a scoped MCP server. A team can use Tulsk as the work system and let Manus read or update authorized project context through MCP.
