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Intent

Spec-Driven Agent Workspace

Best for Dev teams running code generation and refactoring workflows.

Workflow Automation
Visit Intent
Verified 147 days agoSource: augmentcode.comHigh confidence

Overview

What it is

Intent is an agentic development environment that coordinates agents through a shared specification rather than code. It is designed to operate within a developer workspace, facilitating tasks like code generation, refactoring, and auditing.

Best for

Development teams engaged in code generation, refactoring, and audit workflows who require comprehensive Git integration and codebase-aware context without the need to build custom orchestration plumbing.

Key strengths

  • Context Depth: The Context Engine can process over 400,000 files across entire codebases using semantic dependency analysis, providing agents with precise architectural context.
  • Defined Agent Roles: It utilizes a three-role architecture (Coordinator, Implementor, Verifier) for task execution and verification.
  • Git Integration: Each workspace operates on an isolated Git worktree, implying strong integration with version control.
  • BYOA Support: It supports bringing your own agents (BYOA) from various sources like Claude Code, Codex, and OpenCode within the same workspace.

Watch-outs

  • The source text does not detail the types of external systems or tools that Intent integrates with.
  • Specifics regarding the scalability architecture beyond resumable sessions and worktree isolation are not described.
  • Compliance with industry standards or certifications is not mentioned in the provided text.

Pricing

Indie

$20/mo

Max

$200/mo

True cost calculator

Estimate what Intent actually costs for your team.

5 seats

Indie

$100/mo

Based on $20/seat/mo

Max

$1,000/mo

Based on $200/seat/mo

Estimate assumes listed price is per seat. Verify with the vendor for usage-based add-ons.

Pros

  • Coordinates agents through a shared living spec.
  • Processes entire codebases across 400,000+ files.
  • Integrates fully with git for context-aware development.

Cons

  • Requires a paid plan for full Context Engine queries.
  • Limited to the capabilities of the orchestrated models.

Frequently asked

›What is a multi-agent orchestration platform?

A multi-agent orchestration platform manages and coordinates multiple autonomous agents in workflows.

›How long does it take to build a custom multi-agent orchestration?

The timeline can vary based on complexity and governance requirements.

›What is the difference between the MCP and A2A protocols?

MCP is confirmed support, while A2A is not confirmed in the documentation.

›Can multiple agent frameworks work together in a hybrid architecture?

Yes, hybrid architectures can leverage multiple agent frameworks.

›What are the biggest risks of building custom multi-agent orchestration?

Risks include building into commoditization and vendor lock-in at the orchestration layer.

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Last verified: 5/30/2026. Pricing changes? Let us know.