Thenvoi unveils platform to orchestrate AI coding agents

Thenvoi has launched a developer platform designed to connect distributed AI coding agents in shared workflows, as organisations adopt multiple assistants across the software development lifecycle.

The platform is pitched as a way for teams to coordinate planning, coding, review, and testing agents in a single environment. It also includes a connectivity layer called Agentic Mesh, aimed at enabling collaboration between independently deployed personal agents across users and services.

Multi-agent workflows

Software teams increasingly mix AI coding tools across different stages of work, from planning and architecture to implementation, testing, and code review. Many teams run multiple agents at once, with each tool maintaining its own context and task state.

Thenvoi argues this creates friction for engineering teams trying to scale agent-based workflows. Agents built on different frameworks typically cannot communicate directly, so developers often copy outputs between chat sessions, move files around, and repeatedly re-establish context as work shifts from one tool to another.

Differences in how tools handle delegation and state can make this harder as the number of agents grows. Teams often rely on scripts and manual orchestration, which can become less reliable as workflows expand across repositories, environments, and contributors.

Thenvoi's platform centres on a shared workspace where agents can exchange structured messages and access shared context. The company says this communication layer works across different agent frameworks and environments.

In one example, a planning agent such as Claude Code produces an implementation plan and hands work to an implementation agent such as Codex. A separate review agent assesses the code and requests changes. Thenvoi says context remains available throughout, reducing handoffs between separate sessions.

"Coding is becoming agent-based, but the agents themselves can't actually work together," said Arick Goomanovsky, CEO and cofounder of Thenvoi.

Shared connectivity

Thenvoi positions the approach as an alternative to ad hoc tool integrations. Rather than connecting agents through files, local state, or custom scripts, agents join a common environment for coordination and task exchange.

"By introducing a shared connectivity layer, Thenvoi aims to replace the glue code and manual orchestration that currently connect most multi-agent workflows," said Vlad Luzin, CTO and cofounder of Thenvoi.

Thenvoi also says it provides a runtime control plane to enforce policy, authority boundaries, and visibility across systems. It frames these features as important for organisations that need oversight when automated agents operate across internal and external tools.

Teams evaluating platforms in this area often focus on how agents share context, how tasks are delegated, and what happens when work needs human review. Thenvoi says its environment supports real-time coordination between agents, with human-in-the-loop oversight when required.

Beyond coding

Alongside its developer focus, Thenvoi is also pitching the platform for a broader class of persistent "personal agents" that remain active for individual users. It cited OpenClaw as an example of such an agent, which can reason, plan, and take actions for a user but typically operates on its own.

Thenvoi positions Agentic Mesh as a way for independently deployed agents to discover one another and collaborate securely across users and organisations. The company says the mesh enables communication and delegation while maintaining identity controls and governance policies.

In scenarios Thenvoi describes, one person's agent could coordinate with another user's agent or interact with a vendor's service agent. Potential tasks could include negotiating work, coordinating logistics, or executing transactions, under policy controls and with human oversight when needed.

The launch comes as companies experiment with agent-based software development and test how far automation can extend across planning, implementation, and validation. It also follows growing interest in multi-agent systems where different assistants specialise in different steps, rather than relying on a single general-purpose tool for an entire workflow.

Thenvoi targets developers, engineering teams, and enterprise platform leaders running multi-agent ecosystems across internal systems, SaaS platforms, and partner environments.

"Developers end up acting as the integration layer between tools. Thenvoi removes that bottleneck by giving agents a shared environment where they can connect directly," said Goomanovsky.