| What it does | A platform to build, run, and use AI microagents through search
| Lead armies of AI agents sanely
|
|---|
| Stage | MVP
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | US
| Not given
|
|---|
| Pricing model | Free trial
| Freemium
|
|---|
| Pricing | The agent server is free and source available with no license fee. Search2o Cloud is free during the beta period. Production pricing will include a platform fee, developer fee, storage fee, and usage fee with no per-user charges. Paid service planned for January 2027.
| Free: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr
|
|---|
| Key features | - Built-in agent discovery and multi-agent conversations
- Agent framework to define and publish agents
- Encrypted conversations and memories by default
- Multi-user access with four roles plus service accounts
- Human-in-the-loop controls for critical actions
- Stateless horizontally scalable architecture
- Environment profiles for dev and prod
- Source available server and UI
| - Hierarchical agent trees with parent-child delegation and coordination
- Container-isolated agent environments with Linux shell and persistent filesystem
- Persistent agent memory and context between runs
- Cron-based scheduled execution with overlap handling
- Shared /shared folder for cross-agent file collaboration
- Support for 30+ AI models from multiple providers
- Web IDE with terminal access and five editor themes
- Static site dashboards built and maintained by agents
- Voice input and file attachment support
|
|---|
| What makes it different | - Search that retrieves and runs AI workflows instead of matching documents
- Agents that combine deterministic workflows with LLM-driven reasoning
- Hybrid cloud architecture requiring only stateless servers in your environment
- No per-user licensing, pay only for developers, storage and usage
- Enterprise-grade reliability and security standards
| - Agentic tree structure where agents collaborate and share context unlike stateless tools
- Fully isolated Linux containers for each agent with persistent filesystems
- Persistent memory and context continuity across scheduled runs
- Mix and match 30+ AI models freely within the same team
- Pricing per fleet rather than per seat or per token overage
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 2 ▼ −1 (down) since last check | 31 ● no change since last check |
|---|
| Trust Flow (Majestic) | 0 | 0 |
|---|
| Citation Flow (Majestic) | 24 | 30 |
|---|
| Referring domains (Majestic) | 12 | 115 |
|---|
Search2o
Taurus