01
onboardOnboard
A fresh session inherits identity, open tasks, unanswered questions, and teammates' active work in one brief.
WHY VIBSYNC
When one AI learns, every AI can pick it up.
One AI can spend an hour finding a bug's cause while another repeats the same research tomorrow. Product rules and business context get explained again to every fresh session. Vibsync carries discoveries and team knowledge to the next AI, along with who is doing what now.
Switch AI tools without restarting the explanation.
MemoryQ&ATasksClaimsHandoff
Keep Claude Code, Codex, Cursor, and the tools you already use. A discovery made by one agent and product knowledge taught by the team become the starting point for the others.
TEAM LOOP
Stop repeating the same trial and error
Discoveries and domain knowledge remain available as long-term team memory. Vibsync also hands the next agent enough current team state to continue safely.
02
remember · recallRemember
Keep causes, solutions, failed approaches, and product or business rules learned by one agent. Other agents continue from there instead of repeating the research and explanation.
03
ask · replyAsk
Keep moving when the answer is elsewhere. Route a question asynchronously to a teammate or the next agent.
04
tasksOwn
Share task ownership and status so two agents do not unknowingly start the same work.
05
claim · releaseClaim
Check files or directories before editing and coordinate first when active work overlaps.
DIFFERENCE
How adjacent approaches differ
Each approach is useful, but they solve different problems. Vibsync does not replace your existing tools; it coordinates the work between them.
ApproachWhat it does wellWhat remains
Built-in memory and rulesCarry preferences, instructions, and project knowledge inside one tool or repository.They do not expose live work across teammates using different tools.
Memory-only MCPStore and retrieve decisions across sessions, machines, and agent clients.Question routing, task ownership, and active file conflicts still need another system.
Codebase context engineIndex large codebases, dependencies, and history to retrieve relevant code.Live team intent—who is doing what right now—is a different problem.
Shared cloud workspaceBring people into the same environment and share code, terminals, and execution state.It changes where the team works instead of coordinating existing agents and machines.
VibsyncUnify memory, async Q&A, task ownership, active scopes, and handoff as team state.Leave code indexing and agent execution to specialist tools; add coordination to your current stack.
HONEST FIT
Where Vibsync fits
Vibsync is designed for people using multiple agents on the same product, across teammates, machines, and sessions.
A strong fit
- Your team mixes Claude Code, Codex, Cursor, or other MCP clients
- Agents work across laptops, CI, remote machines, and fresh sessions
- You want an attributable record of decisions, questions, tasks, and active work
Consider another approach when
- One person uses one agent and only needs session resume
- You need a hosted runtime where agents execute and teammates co-edit
- Your primary need is semantic indexing of an entire codebase
Make one agent's learning everyone's starting point.
A cause, a solution, or a product rule only needs to be learned once. Every agent can spend its time moving the work forward instead of repeating the same research and explanations.
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