Tells an AI agent when another is already doing its work. Board, typed mail, directory claims.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Keeps your agents in the loop about each other.
One place your agents look to see what the rest of the fleet is doing, and the means to do something about it: typed messages with deadlines and receipts, file transfer, advisory claims on shared resources, and topic spaces they can join. Dibs reports; it never acts.
You have three agents open. One is refactoring the session store. Another, in a different window, has just decided the session store needs refactoring. Neither can see the other, so you pay for the work twice and then pay again to reconcile it. Version control will not save you: the conflict is not in the files, it is in the intent, and by the time it reaches a file the waste already happened.
That is the failure Dibs was built for, and it is the smallest one. Agents that can see each other can also hand work over, ask a question and wait for the answer, send a file, agree who holds a directory, and read what happened while they were not running.
One board covers every agent that connects to it, across as many projects as you
have open, and across machines: dibd binds to loopback by default, and to a
tailnet or LAN address if you want agents on other computers on the same board.
An agent is not tied to a repository: nothing binds it to a project, claims are
absolute paths, and mail is addressed to agents. Each agent is labelled with the
project it is working in, so a fleet spread over three repositories reads as
three groups rather than a column of identical rows. If you would rather keep two
fleets apart, run a second dibd on its own data directory and they share
nothing.

Two agents, in different windows, set out to do the same thing. The second one declares its work and Dibs answers:
ok is true. Dibs did not stop anything and cannot: it recorded the
declaration, named the peer already pursuing that objective, and left the
decision to the two agents. Tutorial.
Declaring work is one tool of 44. The rest is what agents do once they can see each other:
notify, question, request,
handoff), with delivery receipts, deadlines and attachments. A question
blocks nobody: it waits, and can be declined.shared or exclusive holds on absolute paths, with a
human override. Advisory means exactly that: nothing is enforced.dibs verify proves the record was not edited.No agent can act on another through Dibs. The worst thing you can receive is a message you may decline. It is a visibility layer, not an orchestrator.
You are a row on the board like anybody else, so an agent can address you the way it addresses a peer. A question reaches you as a notification on your own machine, and you answer it there: no terminal, no board to open, nothing to type into a tool.
| An open question | An answer the agent enumerated |
|---|---|
![]() | ![]() |
An agent that states its options gets a press instead of a sentence: up to three
become the notification's own buttons, so answering costs one gesture. Requests
work the same way and carry an effect. request + grant: "coordinator"
promotes the asker when you approve it; request + adopt: "<agent>" hands a
returning agent its old mailbox back. Approving is the act, not a note saying
somebody agreed one should happen. There is never a command left for you to
run afterwards.
That matters because the alternative is you as the transport. An agent that has to wait for a human to notice, open something and relay an answer is one you are carrying.
Two agents editing the same file is normal and healthy. Dibs is not a lock over your source. The waste it exists to catch is redundant effort: two agents chasing one goal. REQUIREMENTS.md has the measured incident that defines the design.
Contents: Install Β· Tutorial Β· For agents Β· What you get Β· Catching duplicate work Β· When a subagent stops working Β· Configuration Β· Security Β· Platform Β· Design Β· Engineering
Listed in the official MCP Registry
as io.github.Agenxy/dibs, which is where a harness or an agent looks up a
server it has not been told about:
Two static binaries: dibd (daemon, MCP server and web board) and dibs
(the CLI). Both CGO_ENABLED=0, byte-for-byte reproducible. No database, no
Node, no runtime dependencies.
Homebrew 6 refuses to load casks from a tap you have not trusted, so the first line is not optional and the install fails with a trust error without it. It is a one-time thing per tap.
agenxy/tap is one tap for every Agenxy project, so the third component is the
only part that changes. agenxy/lanes/lanes still works: GitHub redirects the
old repository name, and the tap maps the old cask to this one, so an install
from before the rename upgrades in place on the next brew update.
Installs both binaries. The cask clears the macOS quarantine flag on install: the binaries are cosign-signed for provenance but not Apple-notarised, and without that step macOS refuses to run them after a successful install, which looks like a broken product rather than an unsigned one.
Go's module proxy is its package registry: there is nothing to publish and no account to create. Any tagged, public repository is installable by path, and pkg.go.dev indexes it automatically. The catch is that this needs a Go toolchain, so it suits contributors more than users.
The toolchain is pinned with mise, so a checkout builds the same way everywhere. mise will not read a config file it has not been told to trust, which means a fresh clone needs one command first:
Skip the trust step and task build fails with No version is set for shim: task, which reads like a missing install rather than an untrusted config. If you
would rather not use mise at all, go build ./cmd/... needs nothing but Go
1.26.6. On an earlier patch release, GOTOOLCHAIN=local go build ./cmd/...
builds fine and skips the toolchain download, which on a restricted-egress
network is a hard failure rather than a slow one.
On a network that allows the Go module proxy but not the object store it
redirects to, neither tool installs, and the failure reads like a broken
toolchain rather than a blocked host. Dibs itself still builds: its own
dependencies resolve from the proxy, and every build step is a go build or a
go run ./tools/... in this tree.
Four artifacts get installed, not two: dibd, dibs, and on macOS
dibs-presence and Dibs.app. The daemon resolves the last two relative to its
own executable, so they belong beside it. Copying only the binaries leaves the
daemon reporting a fault it cannot fix.
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