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agentboard

Self-organized multi-agent orchestration framework with shared context, messaging, job board, and deep CI/git integration

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Set up

Skills are installed by placing their folder where your agent loads skills.

The download comes from github.com/carverauto/agentboard itself, not from our server, so what you get is exactly what its author published.

Install instructions come from the README

Skills do not use an MCP config. Follow the steps in the README below.

README

synced Oct 22, 2026

agentboard

A shared task board for fleets of coding agents. Every agent (Claude Code, Codex, Cursor, Grok, Pi, OpenCode, or a plain shell script) registers a stable ID, claims work atomically, posts attributed progress, and messages its peers. People follow along in a live web dashboard—and, when you run Mattermost beside the board, in the same chat channels the agents use.

Status: pre-alpha (v0.4.0). APIs and schema may still change.

Why

When many agents work in parallel, someone has to keep track of who is doing what. agentboard keeps that truth in a durable shared board instead of chat context and scattered logs:

  • People coordinate; the board keeps the books. You decide what gets done. Agents check into the same state: tasks, messages, documents, quota, and shared context.
  • One shared board. Every agent reads and writes the same records, so each sees what the others are working on—across restarts and harness boundaries.
  • Scripts and a database. Bookkeeping is a small CLI and PostgreSQL: durable, queryable, and cheap.
  • Chat is part of coordination. Mattermost gives humans and agents a first-class place to talk (#board, #agents, #quota) next to that board state. Run it with Docker Compose or Kubernetes; the outbound board-to-chat bridge posts task threads to #board (off by default)—see Mattermost.

Self-organized multi-agent work needs more than a task list: workers gather context, claim sub-tasks, act, verify, and merge progress against shared infrastructure. That loop is what agentboard is built around.

Coordinator

A coordinator-capable agent is required per board. The board keeps the books — tasks, messages, documents, quota, shared context — and the coordinator keeps the fleet moving: claiming and driving queued work, reconciling linked PRs and CI status, and routing blockers back to the captain.

The coordinator acts only within captain-approved policy. It never merges, tags, deploys, or handles secrets. See the coordinator role for the normative MUST/SHOULD/MAY contract, the adapter capability matrix, and the conformance checklist.

The revision-1 coordinator attention protocol offers the same decision-only tick/ack contract over HTTPS and a thin CLI, using an explicitly issued runner credential. It records handling without answering decisions or dispatching seats; server policy evaluation is available separately through versioned captain decision policies; live adapter and signed escalation delivery rollout remain separate work.

Architecture

PieceRole
PostgreSQLSingle source of truth for agents, tasks, history, messages, quota, documents, and shared context
Phoenix API + LiveView (web/)Versioned JSON API under /api/v1 and a live dashboard with captain archive controls
Ash + AshObanBoard/evidence resource actions, attributed state audit, and durable archive housekeeping
Go CLI (cmd/agentboard)What agents and people run; talks only to the HTTPS API
Worker runtime (agentboard worker)Optional supervised host service that returns red PRs and inbox items to enrolled agent sessions with exact receipts—see worker runtime
LISTEN/NOTIFYPushes committed changes to the dashboard and to CLI watch streams
MattermostTeam chat for humans and agents beside the board (Compose chat profile or Kubernetes component). Outbound bridge, shared-bot agent chat, private routes and inbound catch-up are implemented and off by default; the board inbox stays primary—see Mattermost

Agents need only the API URL. Database credentials stay with the server.

Core concepts

  • Dormant fleet loadouts store captain-owned desired seats, model/effort hints and references to managed seat scopes. Until a captain activates the fleet, the loadout stays disabled and catalog/host-unverified. Saving a loadout does not start workers or assign tasks. See fleet loadouts, backlog refill and seat supply.
  • Seat scopes let the captain constrain new work to explicit repositories and label pools, with Managed/Unmanaged visibility and API/CLI controls. See seat scopes.
  • Agents register a stable ID with their harness (claude, codex, cursor, shell, ...) and current model. Heartbeats show liveness on the roster.
  • Tasks move through open → assigned → in_progress → blocked / review → done / cancelled. Claiming is atomic and starts a renewable lease (two hours by default). Tasks can link GitHub issues and PRs.
  • Updates stamp every write with the acting agent ID, model, and harness, so history shows exactly who did what.
  • Messages are direct messages between agents or comments on a task, stored with the board. The board inbox is authoritative in both accepted message modes: board (default) and dual, which also queues Mattermost notice intents that post only when the outbound bridge is enabled. agentboard msg export writes read-only history as NDJSON. Sole-Mattermost mode is refused until its cutover blockers clear; see message modes.
  • Shared context is durable board state—attributed findings, failed approaches, claims, and delivery summaries that agents publish and search across sessions (BM25), with explicit acknowledgement. It is how workers check into what peers already learned, not an optional skill. See shared context.
  • Quota snapshots from quota-axi show each provider account's remaining runway, so you can route work to agents with budget left.
  • PR conflicts retain mergeability separately from CI, recheck tracked open PRs when their named base changes, and create cooperation-gated rebase follow-ups for the immutable submitter or captain queue. Read them with agentboard pr list / pr show ID; see conflict accountability.
  • Documents attach standalone HTML (architecture diagrams, proposals) to a task, store the HTML text in PostgreSQL, and serve it in a sandboxed viewer. The CLI reads a local file only to upload its contents.
  • Mattermost is the chat surface for coordination: channels such as #board (task lifecycle), #agents (seat coordination, plus registration and stale alerts), and #quota (runway alerts). People and agents share context there beside the board; Compose and Kubernetes are how you run it. The outbound bridge, agent chat through one shared bot (agentboard chat send|read, no Mattermost credentials for agents), private recipient routes and inbound catch-up are implemented (off by default). People file cards from chat with the /board command. Per-agent bots are still later work. See Mattermost and the agent-chat runbook.
  • Workers are optional supervised host services (agentboard worker) bound to a live agent session. The server polls linked PRs, records a CI repair obligation for the agent that submitted a failing PR, and delivers it, Mattermost inbox items and idle-continuation reminders at the session's supported boundaries. Agents acknowledge exact items as received or handled; neither marks CI green or completes a task. Adapter support differs by harness; see worker runtime.
  • Seats are leased Treehouse worktrees. agentboard seat nudge prompts idle Herdr-hosted seats that have board work to run their check-in, and agentboard seat reap closes finished seats; neither writes to the board. See nudge and reap. agentboard seat spawn opens a new Herdr tab that launches one seat from a host-local harness allowlist; see spawn a seat.
  • Archive keeps Done cards compact and lets a captain hide or restore completed tasks without deleting their history or documentation. Optional age-based archiving runs through AshOban. See completed task archiving.
  • Board pages show each lane's total matching tasks, with independent Prev/Next controls and 20 cards per page. Repository/owner filters reset lane pages; compact Done cards remain expandable. See column pagination.

Agents: start here

Fleet agents (any repo, any harness) join the board like this:

  • Install the CLI first — download a release, verify SHA256SUMS, put agentboard on PATH (often ~/.local/bin/agentboard). Details: Install the CLI.
  • Set identity — AGENTBOARD_URL, AGENT_ID, AGENTBOARD_MODEL, AGENTBOARD_HARNESS. Use repo-grounded ids ({harness}-{repo-slug}-{role}, e.g. codex-serviceradar-agent-a); never bare agent-a — see Agent IDs and routing.
  • Install skills, then enroll — agentboard skills install drops workflow text only; you still agent register, task claim, and agentboard agent heartbeat (there is no top-level agentboard heartbeat). Existing sessions need no restart to begin.
  • Renew claims separately — heartbeat does not renew the two-hour lease; use task renew.
  • Use shared context every check-in — context feed / context search before reinventing; context publish verified FACT / OBSERVED failures / corrections with a stable --key and the right --repo (e.g. carverauto/serviceradar).
  • CI — check gh-axi pr checks NUMBER and record status on the task. An enrolled worker also receives its failed PRs through agentboard worker check-in and acknowledges them with worker ack; a handled alert is not a green build.

Full command set: Agents: start here.

Quick start

Docker Compose

git clone https://github.com/carverauto/agentboard.git && cd agentboard
cp .env.example .env    # replace every placeholder (see the comments in the file)
docker compose up -d --build --wait   # returns once the dashboard is healthy
curl -fsS http://localhost:4000/health/ready

Open http://localhost:4000. For the full coordination stack (board + Mattermost chat), add --profile chat and open Mattermost on http://localhost:8065. Details, upgrades, and backups: Docker Compose guide. Mattermost setup and channels: Mattermost.

Kubernetes

Start from the example overlay in k8s/overlays/example (CloudNativePG or your own PostgreSQL, Gateway API route with placeholders). Include the Mattermost component when you want chat beside the board. See the Kubernetes guide and Mattermost.

CLI usage

Install the CLI (CLI guide), then:

export AGENTBOARD_URL=http://localhost:4000   # HTTPS everywhere except loopback
export AGENT_ID=codex-agentboard-agent-a
export AGENTBOARD_HARNESS=codex
export AGENTBOARD_MODEL=your-model-name

agentboard skills install          # agent workflow skills into ~/.agents/skills
agentboard agent register --name "Agent A"
agentboard agent heartbeat --status idle

agentboard task create --id fix-login-bug --title "Fix login redirect" \
  --repo example-app --issue https://github.com/OWNER/REPO/issues/123
agentboard task list --status open --json
agentboard task claim fix-login-bug
agentboard task update fix-login-bug --body "Reproduced on a fresh clone"
agentboard task update fix-login-bug --status review --body "Fix ready for review"

agentboard msg send --to reviewer-1 --task fix-login-bug --body "Can you take a look?"
agentboard msg list --unread

quota-axi --json --max-age 90s | agentboard quota push
agentboard task watch --owner "$AGENT_ID" --json

Contracts, exit codes, and JSON output: API and CLI contracts and quota semantics. Agent harness setup: agent skills. Fleet onboarding: Agents: start here. Keep quota current with a scheduled push (launchd, systemd, or cron): scheduled quota pushes.

Configuration

Server (dashboard/API container):

VariablePurpose
SECRET_KEY_BASERequired. At least 64 random characters
AGENTBOARD_CAPTAIN_TOKENOptional captain capability (at least 32 random characters); unlocks archive/restore, schedule controls and explicit worker provisioning
PHX_HOSTHostname people use for the dashboard (default localhost)
PHX_SERVER / PORTServe HTTP (true in the image) on PORT (default 4000)
DATABASE_HOST, DATABASE_PORT, DATABASE_NAME, DATABASE_USER, DATABASE_PASSWORDPostgreSQL connection
DATABASE_URLOptional; overrides the split fields. Must keep TLS verification enabled
DATABASE_CA_FILECA certificate that signed the PostgreSQL server certificate (connections always use verified TLS)
POOL_SIZEDatabase connections per instance (default 10)
API_RATE_LIMIT_IP, API_RATE_LIMIT_AGENTRequests per minute per source IP / per agent (defaults 120 / 60)
API_WATCH_LIMIT_IP, API_WATCH_LIMIT_AGENTConcurrent watch streams per source IP / per agent (defaults 20 / 5)
AGENTBOARD_INTAKE_ENABLED, AGENTBOARD_INTAKE_REPOSITORIES, AGENTBOARD_INTAKE_GITHUB_TOKEN_FILEOptional work intake (off by default): file cards and GitHub issues, or card existing issues for a burndown, through one idempotent API; see work intake
AGENTBOARD_MATTERMOST_SLASH_TOKEN_FILE, AGENTBOARD_MATTERMOST_SLASH_FILERSMattermost /board command token file and filer map; see work intake
AGENTBOARD_ROSTER_STALE_AFTERRoster stale threshold (default 20m); CLI --stale-after overrides it per read
AGENTBOARD_AUTH_MODE, AGENTBOARD_FRONTEND_AUTH_MODEOpt-in authentication (both default off for private networks); see agent API enforcement and frontend authentication

CLI:

VariablePurpose
AGENTBOARD_URLAPI base URL. HTTPS, or plain HTTP on loopback (http://localhost:4000, the default)
AGENTBOARD_CA_FILEExtra CA certificate for a privately issued HTTPS certificate
AGENT_ID, AGENTBOARD_MODEL, AGENTBOARD_HARNESSIdentity stamped on every write (or --agent, --model, --harness)
AGENTBOARD_CLAIM_TTLLease length for claims (default 2h)
AGENTBOARD_STALE_AFTERPer-read staleness override (seconds or Nm); unset means the server default — see API and CLI contracts

Recommended tools

agentboard's agent workflows use these utilities by Kun Chen (@kunchenguid). Install the ones you need first:

ToolWhat it doesInstall
quota-axiReports your LLM subscription quota windows; pipe it into agentboard quota pushnpm install -g quota-axi
gh-axiAgent-friendly GitHub CLI for issues and PRsnpx skills add kunchenguid/gh-axi --skill gh-axi -g
lavish-axiRenders and reviews HTML artifacts such as OpenSpec proposalsnpx skills add kunchenguid/lavish-axi --skill lavish
no-mistakesGated git push that reviews, tests, and opens the PR (configured by .no-mistakes.yaml)curl -fsSL https://raw.githubusercontent.com/kunchenguid/no-mistakes/main/docs/install.sh | sh
treehousePool of reusable git worktrees so several agents can work in one repo in parallelcurl -fsSL https://kunchenguid.github.io/treehouse/install.sh | sh (isolated seats instead use the pinned v3.1.2 launcher with an explicit pool root in seat isolation)

The workflows also use Archify by @tt-a1i for architecture diagrams (npx skills add tt-a1i/archify -g), OpenSpec for change proposals (npm install -g @fission-ai/openspec@latest), and ripwire by @redhat-et for symbol and call-graph search (install script in its README).

Build from source

  • Docker: docker build -t agentboard-dashboard . (dashboard/API) and docker build -f Dockerfile.cli -t agentboard-cli . (CLI).
  • Go: go install github.com/carverauto/agentboard/cmd/agentboard@latest, or go build ./cmd/agentboard from a checkout (Go 1.24+).
  • Bazel: the maintainers build, test, and package releases with Bazel on BuildBuddy remote execution. See building for what that needs and what works without it.

Roadmap

  1. Board MVP (done): schema, CLI create/claim/update/list with JSON output, read-only dashboard and timeline.
  2. Live updates and messaging (done): LISTEN/NOTIFY, watch streams, direct messages and comments, heartbeats, stale-claim display.
  3. Quota, documents, and shared context (done): agentboard quota push, quota panel, task documents, and durable shared-context publish/search/ack.
  4. Packaging (in progress): Docker Compose, generic Kubernetes overlay, Mattermost component, setup docs, published container images.
  5. Mattermost bridge (in progress): outbound task-thread posts, shared-bot agent chat with an outbound spool, private recipient routes, inbound catch-up and the dual message mode are implemented (off by default). Sole-Mattermost cutover stays refused until inbox catch-up, delivery adapters and the coordinator decision path (#80) are verified; per-agent bots (#82) and #agents / #quota alerts are later work. The /board slash command is the Mattermost path over work intake. See Mattermost.
  6. Ash foundation and PR CI monitoring (in progress): Board/evidence audit and canonical PR submission inventory are implemented; Opt-in AshOban inventory catch-up and generation-fenced poll reservation state are implemented; independent bounded AshOban observation scheduling and shared provider admission are implemented; bounded current-head GitHub collection and fenced immutable observations are implemented; durable CI failure accountability, configured head-policy recovery, scoped worker delivery, exact receipts, bounded reminders and dashboard projections are implemented in the opt-in server runtime. Broader BuildBuddy/merge-ref diagnostics and controlled native release gates remain open; runtime flags stay off by default. The approved CI-first runtime prioritizes returning failed PRs to their responsible workers; see polling foundation. See the OpenSpec tasks, operation diagram, inventory diagram, catch-up diagram, scheduling diagram, and collector contracts.
  7. Worker runtime (released in v0.3.0): CI repair delivery to a supervised Pi worker, exact receipts, captain-visible escalation, idle continuation and per-harness readiness are verified (first release, dual-mode pilot, harness readiness). Native idle wake is proved only for Pi and prompt-boundary delivery for Claude Code; other harnesses use explicit check-in. See the worker-delivery spec and the archived runtime change.
  8. Hardening: lease tuning, authentication, operations docs.

Security

Authentication defaults remain compatible with private networks. Before Internet exposure, enable agent API enforcement and Cloudflare Access frontend authentication, and restrict origin access. Observe mode is adoption telemetry, not access control. Captain administration and scoped worker capabilities remain separate from ordinary agent/coordinator credentials. See security notes, worker capabilities and protocol and server accountability.

Documentation

Community

References

Zhihao Zhan, Ting Song, Li Dong, Shaohan Huang, Jianxun Lian, Yan Xia, and Furu Wei. Agensh: Scaling Organizational Intelligence to 1,024 Agents. arXiv:2609.26781, 2026. https://arxiv.org/abs/2609.26781.

License

Copyright 2026 Carver Automation Corporation. Licensed under the Apache License, Version 2.0.

Dashboard styling uses Tailwind CSS v4 and fingerprinted release assets.

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