AgentOS keeps your team working.

The operating system behind MiraDay’s Agent Team. Task instructions, files, context and guardrails help agents work together, carry results forward and keep you in control.

System architecture for complex recruiting tasks

Recruiting task architecture

Recruiting work continues over time, pauses for replies, changes with feedback and often proceeds in parallel. Key actions also need human oversight, while different stages call for different AI capabilities. MiraDay’s AgentOS combines task constraints, persistent state, context management and Agent orchestration with human control. Your team can continue existing work as requirements change, inspect progress and redirect execution without rebuilding the brief each time.

Recruiting continues over time, waits for replies and changes with feedback, often in parallel. MiraDay’s AgentOS manages task constraints, saved state, context and Agent orchestration, so your team can continue existing work as requirements change while people oversee progress and decisions.

Harness constraints for task-specific recruiting requirements

Task execution harness

A market overview, a candidate assessment and a compensation study require different approaches. Their demands on task completion, human collaboration, precision, repeatability, cost, speed and safety vary. The harness in MiraDay’s AgentOS defines the goal, available tools and result checks for each task. Your team can review execution and results against those requirements, identify missing work and decide whether the task is complete.

Research, candidate assessment and compensation studies differ in their requirements for completion, human collaboration, precision, repeatability, cost, speed and safety. MiraDay’s AgentOS uses a harness to define goals, tools and result checks, so you can judge completion against the task’s requirements.

File-system task state and a generative Canvas

File-based state and Canvas

Recruiting tasks need persistent progress and results that people can inspect and revise. MiraDay’s AgentOS stores task state, materials and work products in the file system. Event and time triggers allow work to continue using saved state and files. Its file-based Canvas generates a working interface from the task and its materials, so your team can revise existing results, export them and use them in subsequent work.

MiraDay’s AgentOS stores task state, materials and results in the file system. Events or time triggers let work continue from saved progress. A file-based Canvas generates the working interface from tasks and files, so you can revise and export existing results without starting over.

Layered context for continuous and parallel tasks

Layered context management

Revisions, ongoing work and parallel tasks make recruiting context harder to manage. Shared goals need to remain consistent, while individual tasks and candidates need their own information. MiraDay’s AgentOS manages global project context, task-local context and context for specific candidates or companies. Each Agent Teammate receives relevant instructions, materials and prior results, helping work remain aligned with project requirements while limiting unrelated information.

Revisions and parallel tasks make context harder to manage. MiraDay’s AgentOS separates global project context, task-local context and context for each candidate or company. Agent Teammates receive relevant instructions, materials and prior results, keeping work aligned while limiting unrelated information.

Agent Teammate orchestration and task-level model routing

Agent orchestration and model routing

Different recruiting stages need different AI capabilities. Market research and sourcing may proceed independently, while candidate comparisons or communication preparation may depend on earlier results. In MiraDay’s AgentOS, Mira coordinates Agent Teammate assignments. Tasks can use different models and receive relevant context. Independent work can run in parallel, while dependent tasks use prior results, reducing manual coordination and unnecessary waiting between tasks.

Recruiting stages need different AI capabilities, with some tasks depending on earlier work. In MiraDay’s AgentOS, Mira coordinates Agent Teammates and tasks can use different models. Independent work runs in parallel; dependent tasks use prior results, reducing manual coordination and unnecessary waiting.

Skills and sandboxed code execution

Skills and sandbox execution

A team’s recruiting methods need to translate into steps an Agent can execute. Skills provide task instructions, tool guidance and executable code. MiraDay’s AgentOS runs in a sandbox, where Agents can execute code to process files, perform calculations and produce results for subsequent tasks. Your team’s methods can guide work such as preparing research materials, comparing roles and calculating compensation, reducing manual file processing and repeated calculations.

Skills turn team methods into task instructions, tool guidance and executable code. MiraDay’s AgentOS runs in a sandbox where Agents process files and perform calculations. Your methods can guide research preparation, role comparisons and compensation calculations, reducing manual processing and repeated calculations.

Execution guardrails, tool authorization and human oversight

Guardrails and human oversight

Candidate assessment, communication and key actions require human oversight and control. MiraDay’s AgentOS uses harness constraints and execution guardrails to define task boundaries. Tool use follows task scope and connected-account authorization, while actions requiring confirmation retain a human approval step. Your team can inspect progress, add information and redirect the work, allowing Agents to continue within scope while people retain control over consequential decisions.

Candidate assessment, communication and key actions need human oversight. MiraDay’s AgentOS combines harness constraints and guardrails with task and connected-account authorization. Actions requiring confirmation retain human approval, so your team can inspect progress, redirect work and control key decisions as Agents continue within scope.

A dedicated AgentOS for recruiting tasks

AgentOS built for recruiting

MiraDay focuses on talent intelligence: data and decision support. Tools such as Codex and Claude Code support work with files, code and tools. MiraDay’s AgentOS combines harness constraints, persistent state, layered context and Agent orchestration with human review for recruiting tasks. We plan to connect MiraDay with ATS platforms, leaving recruiting process management to the ATS. Your team can use shared requirements and prior results for research, search and comparison, reducing repeated briefing and manual handoffs.

MiraDay focuses on talent intelligence: data and decision support. Codex and Claude Code support work with files, code and tools. MiraDay’s AgentOS combines harness constraints, saved state, context, Agent orchestration and human review for recruiting tasks. We plan to connect with ATS platforms for recruiting process management, so you can reuse results with less repeated briefing and fewer manual handoffs.

Put these capabilities to work in your team.

Skill

Explore how Skills carry a method into Agent tasks

In-house TA

Coordinate research and hiring across your team.

Coordinate research and recruiting work.

Search firms

Organize delivery across a search team.