Agents act like teammates
They work in the same project thread, understand the current goal, and can bring in another agent when a task needs a stronger specialist or a second opinion.
Desktop app · Early access
AI agents that actually work together.
Run a flexible team of AI agents that can divide work, route each task to the right specialist, challenge each other's decisions, verify results, and hand back stronger work — all grounded in the full context of your project.
Agents, assistants, reviewers, and verifiers working together in one shared project workspace
Claude
Codex
Kiro
Cursor
Copilot
Antigravity
Perplexity
+ your custom agents
Why a team
One agent is useful. A coordinated team is different.
eves lets AI agents work like teammates: one can build, another can review, another can challenge assumptions, and another can bring in missing context. Work can move to the best specialist for the task, while the project workspace keeps the notes, files, chats, terminals, browser work, and memory they need in one place.
They coordinate without micromanagement
You can direct a specific agent when you want, but you do not have to. Agents can decide when help is useful, split work across specialties, consult each other, and hand work back cleanly.
Safer work through challenge and verification
Agents can challenge each other organically, verify claims, review implementation choices, and catch weak assumptions before work ships. You can also use roundtables, critiques, debates, or lead synthesis when you want a more formal review.
Context follows the team
Rules, decisions, notes, files, transcripts, and durable memory stay with the project, so every handoff starts from the same picture.
How it works
Ask once. Let the team work.
eves gives agents a shared project workspace, then lets them collaborate naturally — solo, as a group, through organic handoffs, specialist consultations, verification passes, or structured review when useful.
STEP 01
Give them the project
Each workspace keeps the project’s Conversations, direct Chats, Prompt Builder workflows, notes, files, terminal tabs, skills, browser automation, settings, and Shared Memory in reach.
STEP 02
Ask naturally
Use one agent for focused work, ask the group for opinions, or let agents bring each other in when they need help. Work can be divided across the best specialist for each task; structured modes are available, but they are not the only way agents collaborate.
STEP 03
Keep the work compounding
Important rules and decisions can become shared memory. Files, notes, transcripts, tool output, and chats stay tied to the project for the next session.
The workspace
The workspace that makes teamwork possible.
A project workspace organized around three layers: collaboration, durable context, and the tools agents need to verify the work.
Conversations, Chats, and Prompt Builder
Use direct Chats for one-model drafting, project Conversations for multi-agent collaboration, and Prompt Builder for repeatable workflows. Run focused one-agent threads, roundtables, critiques, debates, verification passes, lead delegation, and synthesis from the same project context.
Assistants and review roles
Prompt Builder workflow templates assign steps to roles like planner, reviewer, verifier, researcher, or synthesizer, each with a working default participant. The lead delegates to those roles visibly, then brings their checks back into one recommendation.
Shared Memory that stays reviewable
A Project Brief, focused Topics, and a Review queue keep durable knowledge compact and visible to the team without mixing it into any provider's private history.
BriefProject rules, scope, and constraints.
TopicLaunch readiness and support policy.
ReviewProposed memory updates before they become active.
Skills management
Attach reusable instructions, review styles, tool guidance, and domain workflows to a project so agents can apply the same process consistently across Conversations.
Files, notes, editor, and canvas
Browse project folders, open files in the editor, keep markdown notes, and sketch flows or architecture on Canvas — agents can propose a diagram inline or draw it directly.
Terminal where the evidence lives
Run builds, tests, scripts, servers, and smoke checks beside the Conversation so command output becomes part of the project workflow.
Browser, desktop tools, and settings
Configure providers, models, MCP servers, voice, browser automation, updates, and optional desktop permissions. Keep powerful actions explicit and reviewable. Track token usage and estimated cost anytime from Help → Usage.
Split panes, tabs, and mobile access
Keep a Conversation, terminal, notes, files, and memory open together. Press ⌘K to jump between projects and tabs without leaving the keyboard. Detach work into another window, or use mobile access to monitor Conversations and Chats, send lightweight replies, and stop runs while the desktop session keeps the full workspace.
In action
Watch agents work as a team.
The current Acme screenshot shows the core workflow: the user asks once, the lead delegates visible checks, every delegated agent replies, and the lead returns a recommendation.
Early access
Your agents are stronger together.
Stop managing AI assistants in parallel. eves gives them a shared project workspace where they can divide work, route tasks to the right specialist, challenge and verify each other, and ship with the full picture.
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