OpenAgents VS Decawork
Compare OpenAgents VS Decawork, what is the difference between OpenAgents and Decawork?
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Summarize
OpenAgents summarize
OpenAgents Landing Page
Decawork summarize
Decawork is how IT teams take employee-built AI agents live and control every one of them from one place. An employee builds an agent on Claude Code, Codex, or any vibecoding tool; we take it in, put it on company accounts, and run it as a company asset. From there, IT team manages the agent like an employee: access, oversight, retirement.
Decawork Landing Page
Compare Details
OpenAgents details
| Categories | AI Agent, AI Developer Tools, Open Source AI Models |
| OpenAgents Website | https://openagents.org?utm_source=toolify |
| Added Time | January 07 2026 |
| OpenAgents Pricing | -- |
Decawork details
| Categories | AI Agent, AI Workflow |
| Decawork Website | https://decawork.ai?utm_source=toolify |
| Added Time | August 26 2026 |
| Decawork Pricing | -- |
Comparison of usage
How to use OpenAgents?
Developers use OpenAgents to launch a new agent network in seconds or join existing networks using a network ID. They connect their custom AI agents to the network, allowing them to automatically learn and utilize the resources and tools available (called Network Mods). Users can also utilize OpenAgents Studio to visualize agent activity and interact with them directly.
How to use Decawork?
Teams build AI agents using their preferred tools and submit them to Decawork for approval. IT then registers each agent, assigns an owner, configures access permissions and scoped credentials, establishes approval gates, monitors activity, reviews audit logs, and pauses or retires agents when necessary.
Compare Pros between OpenAgents and Decawork
Core features of OpenAgents
- Building and connecting AI Agent Networks at unprecedented scale
- Open protocols for large-scale agent orchestration
- Interoperable framework supporting diverse LLMs, protocols, and agent frameworks
- Launch agent networks in seconds
- Network Mods for working on a wide range of tasks (e.g., Documents, Wiki, Project Board)
- OpenAgents Studio for visualization and direct interaction
Core features of Decawork
- Centralized inventory of internal AI agents
- Scoped access controls, credentials, and approval gates
- Complete, attributable audit trails for agent actions
- Agent ownership and lifecycle management
- Support for agents built with multiple development tools
- Monitoring of agent status, reach, skills, and connected tools
Compare Use Cases
Use cases for OpenAgents
- Orchestrating thousands of AI agents to collaborate on complex engineering or creative challenges.
- Connecting agents from different frameworks (like LangChain and AutoGen) into a unified network.
- Using Network Mods to enable agents to create shared documents, wikis, or project boards.
- Building specialized, high-activity networks focused on niche tasks (e.g., ChefAssistant, ElonMuskTracker).
Use cases for Decawork
- Approve and manage employee-built AI agents before they access company systems
- Control permissions for agents used in marketing, recruiting, HR, IT, legal, finance, and security
- Monitor agent activity and identify which agent performed each action
- Pause or retire agents that are no longer needed or require review
- Maintain a centralized registry of AI agents across an organization
OpenAgents's traffic
OpenAgents is the one with 11.2K monthly visits and 00:00:26 Avg.visit duration. OpenAgents has a Page per visit of 2.00 and a bounce rate of 40.62%.
Visit Over Time
| Monthly Visits | 11.2K |
| Avg·visit Duration | 00:00:26 |
| Page per Visit | 2.00 |
| Bounce Rate | 40.62% |
Decawork's traffic
Decawork is the one with 10.6K monthly visits and 00:01:43 Avg.visit duration. Decawork has a Page per visit of 2.64 and a bounce rate of 12.06%.
Visit Over Time
| Monthly Visits | 10.6K |
| Avg·visit Duration | 00:01:43 |
| Page per Visit | 2.64 |
| Bounce Rate | 12.06% |
Geography
The top 5 countries/regions for OpenAgents are:United States 28.07%, Vietnam 12.00%, Taiwan, China 11.08%, United Kingdom 8.41%, India 7.53%
Top 5 Countries/regions
 | 28.07% |
 | 12.00% |
 | 11.08% |
 | 8.41% |
 | 7.53% |
Geography
The top 1 countries/regions for Decawork are:India 100.00%
Top 1 Countries/regions
| 100.00% |
Traffic Sources
The 6 main sources of traffic to OpenAgents are:Direct 36.75%, vs_sourcesDisplayAds 26.79%, vs_sourcesSearchOrganic 20.02%, Referrals 10.23%, vs_sourcesGenAi 6.21%, Mail 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%, vs_sourcesSocialOrganic 0.00%
Direct | 36.75% |
vs_sourcesDisplayAds | 26.79% |
vs_sourcesSearchOrganic | 20.02% |
Referrals | 10.23% |
vs_sourcesGenAi | 6.21% |
Mail | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
vs_sourcesSocialOrganic | 0.00% |
Traffic Sources
The 6 main sources of traffic to Decawork are:Mail 0, vs_sourcesGenAi 0, Direct 0, vs_sourcesAffiliate 0, Referrals 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
Mail | 0 |
vs_sourcesGenAi | 0 |
Direct | 0 |
vs_sourcesAffiliate | 0 |
Referrals | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Which is better: OpenAgents or Decawork?
OpenAgents might be a bit more popular than Decawork.As you can see, OpenAgents has 11.2K monthly visits, while Decawork has 10.6K monthly visits. So more people choose OpenAgents. So the odds are that people will recommend OpenAgents more on social platforms.
OpenAgents has an Avg.visit duration of 00:00:26, while Decawork has an Avg.visit duration of 00:01:43. Also, OpenAgents has a page per visit of 2.00 and a Bounce Rate of 40.62%. Decawork has a page per visit of 2.64 and a Bounce Rate of 12.06%.
The main users of OpenAgents are United States, Vietnam, Taiwan, China, United Kingdom, India, with the following distribution: 28.07%, 12.00%, 11.08%, 8.41%, 7.53%.
The main users of Decawork are India, with the following distribution: 100.00%.
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