AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分鐘完成驗證A fleet that runs agents
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取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
A fleet of prebuilt AI teammates for recurring engineering work.
agentsfleet is a fleet of prebuilt AI teammates for recurring engineering work. Each one wakes on an event — a pull request, an incident, a deploy — reads your code, telemetry, internal docs, and live control-plane state, finds the root cause, and opens a scenario-backed fix. A human approves, then it ships the fix or drafts the customer reply. Every step is a replayable log.檢視完整 README ↗agentsfleet is an open-source runtime for agents configured for recurring jobs. Each fleet has instructions, tools, triggers, access rules, and a budget. Events or messages wake the fleet; runners investigate with its permitted tools and save the results.
You write a fleet by describing the job in a private chat, in the app or with agentsfleet chat. The chat drafts a typed Definition you review, then Save creates the fleet and checks its access. See fleet definitions.
Already invited? Sign in to the app. To request access, visit Early access.
The public command-line interface (CLI) package is waiting for release. Build the CLI from this repository with Bun 1.4.4:
git clone https://github.com/agentsfleet/agentsfleet.git
cd agentsfleet/cli
bun install
bun run build
bun ./dist/bin/agentsfleet.js login
Sign in, check that the browser and terminal show the same code, then select Authorize. The terminal completes sign-in automatically. If the browser is on another computer, restart with login --no-open and enter its verification code in the terminal.
See the CLI install guide for installer and release instructions. The quickstart covers writing a fleet in chat and connecting its tools and triggers.
| Directory | What |
|---|---|
rustd/ | Rust workspace — the agentsfleetd control plane (afd_* crates, one per plane) and the agentsfleet-runner execution daemon (afr_* crates). |
ui/packages/app/ | Dashboard — Next.js, Clerk auth |
ui/packages/website/ | Marketing site — agentsfleet.net |
ui/packages/design-system/ | Shared UI components |
cli/ | Command-line interface (CLI) — install, manage agents, tail runs |
public/openapi.json | OpenAPI reference generated from the daemon's route and schema definitions |
schema/ | Postgres migrations |
playbooks/ | First setup, deployment, verification, and operations |
Prerequisites: Rust 1.99.1 · Docker (Postgres, Dragonfly, QStash) · Bun ≥1.4.4 · Clerk dev project · 1Password CLI for secrets
Rustup installs the pinned toolchain from rustd/rust-toolchain.toml on the first cargo run inside rustd/.
git clone https://github.com/agentsfleet/agentsfleet.git
cd agentsfleet
# Run provision-env-1password first. See docs/development.md for shared-worktree setup.
make up # Shared services + this worktree's native daemon; migrate before serving
# Install in this order. The root install alone does NOT reach the workspace
# packages, and the coverage lane then fails resolving `next/headers` — a
# failure that reads like a code defect and is not one.
bun install
(cd cli && bun install && bun run build)
for pkg in ui/packages/*/; do (cd "$pkg" && bun install); done
export NEXT_PUBLIC_API_URL="$(bash scripts/local-dev.sh url)"
cd ui/packages/app && bun run dev
Run provision-env-1password before local tests. The shell sources
~/.config/agentsfleet/.env, which names the UI, runner, and daemon files under
that directory through AGENTSFLEET_UI_ENV_FILE, AGENTSFLEET_RUNNER_ENV_FILE,
and AGENTSFLEET_RUSTD_ENV_FILE. Local UI and daemon tests read their files
directly; the runner path is available to tests that need it. No worktree
environment-file symlinks are needed. The app refuses to guess a backend when
NEXT_PUBLIC_API_URL is unset.
See shared development worktrees for startup, status, ownership and teardown.
Verify:
make lint-all
make test-unit-all
make test-integration-rustd # needs Docker: live Postgres + Dragonfly
agentsfleet defaults to production. From the repository root, select this worktree's URL with --api or the environment. Replace <COMMAND> with your command.
agentsfleet --api "$(bash scripts/local-dev.sh url)" <COMMAND>
export AGENTSFLEET_API_URL="$(bash scripts/local-dev.sh url)"
git config core.hooksPath .githooks
Project facts live in AGENTS.md. The operating model and its
standards, .orly/AGENTS.md and .orly/standards/, are
committed alongside them.
orly materialises both and records
them in .orly/orly.json. A clone carries its own rules; nothing resolves out
of a developer's home directory.
Install the latest orly. Continuous Integration installs the latest too, and
orly update --no-hooks moves .orly/orly.json to it after a release:
npm install -g @agentsfleet/orly@latest
orly doctor # report drift between the lock and the tree
orly update --no-hooks # re-materialise at the installed version
orly gate work # what the pre-commit hook runs
--no-hooks is not optional here: this repository owns .githooks/pre-commit
and .githooks/pre-push, and orly declines to overwrite hooks it did not
write.
Read about architecture, start with the operator playbooks, or jump into local development.
MIT — Copyright (c) 2026 agentsfleet.