walgit README

The project's README from github.com/tobi/walgit. As one markdown file: README.md.

walgit — a git server that is one binary in front of an object store

walgit hosts git repositories with no database, no leader and no local state that matters. You run a single binary, point it at an S3 or GCS bucket, and you have: smart HTTP (v0/v2) fetch and push, bundle-uri clones served as static files, Git LFS, a browsing web UI, a JSON API with an SDK, per-repository push policy, webhooks — and a server that scales to repositories larger than the machine it runs on. Every machine that runs walgit is a disposable cache; the bucket is the repository.

# 1. a bucket (any S3-compatible store or GCS) and a config
cat > walgit.toml <<'EOF'
[server]
listen = "0.0.0.0:8080"
public_url = "https://git.example.com"
auto_create_on_push = true
[server.auth]
mode = "token"
anonymous_read = false
tokens = [{ principal = "me", token_env = "WALGIT_TOKEN_ME", write = true }]
[store]
backend = "s3"
bucket = "my-walgit"
[store.s3]
endpoint = "https://s3.us-east-1.amazonaws.com"
region = "us-east-1"
EOF

# 2. run it
WALGIT_TOKEN_ME=$(openssl rand -hex 24) walgit serve --config walgit.toml

# 3. use it — a push to a new name creates the repository
git -c http.extraHeader="Authorization: Bearer $WALGIT_TOKEN_ME" push https://git.example.com/acme/app.git main

That is the whole deployment. Add more machines pointed at the same bucket and they serve the same repositories, consistently, with nothing to coordinate. Kill them all and you lose warmth, nothing else.

It is a Rust implementation of the architecture Cursor described in Git at any scale (the system they call Continuity), with the changes needed to run it on machines that are smaller than the repository. The post is worth reading first; it is kept verbatim in docs/reference/cursor-git-at-any-scale.md.


Why this shape

Git is distributed, and that makes hosting it miserable for one reason: packfiles. Everything in a repository is compressed into large binary packs laid out to be small, not to be read in order; every git operation is a random walk over gigabytes. That is fine on a laptop with the file in page cache and catastrophic over a network filesystem, which is why "just put the repositories on NFS" failed at every large host that tried it. The design that survived (GitHub's Spokes) keeps real repositories on local NVMe so upstream git does the work, and replicates at the packfile level with strict consistency — paid for with three-phase commit across a fixed replica set, a database that maps every repository to its machines, and a fleet of pets.

Continuity's insight changes the economics: make a write-ahead log in object storage the source of truth, and make every on-disk repository a cache. A push is stored as an immutable object in the bucket and becomes visible only when a tiny manifest is rewritten with a compare-and-swap. That CAS is the consensus — no election, no quorum, no primary. Any instance may accept a push; two racing instances cannot both win. A replica that has never seen a repository reads the log and has it. Reads are consistent without coordination because every read first asks the store whether anything changed (a conditional GET, usually a 304). Compaction is done once by whoever holds a lease and published into the log, so replicas download compacted packs instead of repacking. And because the WAL is the truth, there is complete provenance: every push and every repack, replayable to any point.

walgit takes that as-is, and adds what a monorepo on small machines needs: serving refs and web pages for a repository whose packs will never fit on the instance (a remote reader over HTTP range requests), keeping commits and trees local while blobs stay in the bucket (the history pack), and moving clone bytes out of the server entirely (bundle-uri: fresh clones and catch-ups are static files the bucket or a CDN hands out).

What it does

git smart HTTP v0/v2: ls-refs with prefixes, fetch with filter/shallow/deepen/sideband-all, receive-pack (atomic, deletes, tags, push options, report-status-v2), <owner>/<repo> namespaces, sha1 and sha256 repositories. Upstream git does upload-pack/repack/bundle; walgit does receive-pack, the WAL and the plumbing.
bundle-uri Bundles cut on calendar slots (weekly full, chained dailies, hourlies) as a pure function of the WAL: a fresh clone downloads the newest full plus the chain above it from the bucket and asks the server only for the remainder; a catch-up downloads exactly the slots it missed. Two lists per repo: bundles/list for clones, bundles/catchup for fetches. Blobless families for --filter=blob:none.
LFS Batch API + basic transfer, objects in the bucket, optional read-through from an upstream LFS server for imported repositories.
web UI + API A React UI (tree, blob, commits, diffs, the WAL's own health page) on a read-mostly JSON API under /{owner}/{repo}/api/*; sha-addressed answers are immutable and cached everywhere; long answers stream progress as SSE. repos.js is a dependency-free SDK for pages, agents and scripts.
policy Per-repository push rules (policy.json): protected refs, groups, fast-forward only, bypass lists. docs/POLICY.md.
settings Per-repository config (bundle schedules, compaction, upstream follow) published into the WAL with history.
events A small bridge tails the WAL and POSTs ref events to a webhook, exactly-once per (repo, seq, ref) with a durable cursor. docs/EVENTS.md.
maintenance Checkpoints, bundle builds, geometric compaction, base rebuilds, connectivity audits and repairs — one loop that computes the desired state from (config, WAL) every pass and does one bounded unit of the most important missing work. Self-healing by construction: an outage leaves no holes; a deleted artefact is "missing" and rebuilt identically.
auth none (loopback), token (static tokens), oidc (any OpenID Connect issuer: browser sign-in, ID tokens, and walgit-issued access tokens for git). /services/public/install.sh sets a developer's machine up in one idempotent command.
stores S3 and S3-compatible (AWS, MinIO, rustfs, R2, Ceph, …) and GCS, first class; an in-memory store for tests.

How it works, briefly

The repository is a WAL in the bucket. Under repos/<owner>/<repo>/: manifest.pb (tiny, CAS-rewritten: head sequence, the live pack set, checkpoint pointer, settings — the linearization point), log/<seq>.pb (immutable entries: PUSH, COMPACT, CHECKPOINT, SETTINGS), wal/<checksum>.pack|.idx|.rev|.bitmap|.commit-graph (immutable, content-addressed packs with their side-files), checkpoints/<seq>/ (folded ref snapshot + pack inventory so a cold start is snapshot + tail), bundles/, leases/ (CAS with TTL — the only cross-instance mutex), policy.json, lfs/objects/, events/cursor.json.

A push: our receive-pack indexes the pack (git index-pack --fix-thin --rev-index in a scratch dir), checks connectivity and policy, uploads pack ∥ idx ∥ log entry, then CASes the manifest. On a 412 it re-reads, re-validates every ref's old value and retries. Concurrent pushes to one repository on one instance are group committed into one CAS. The client sees ok only after the bucket does.

A read: one conditional GET of the manifest; 304 → serve from the local copy, 200 → apply the new entries. What "apply" means depends on what the request needs: refs (snapshot + log → packed-refs, no packs: advertisements, the API, bundle lists), serve (the pack set as this machine can hold it: small packs and the history pack local, a too-large base read by range), full (everything local, for repacks), objects (the remote reader, for the UI on a repository that does not fit). Pack downloads run on their own runtime and never block a refs request.

Placement is configuration. [placement] serve / maintain globs say which repositories a host does object work for; refs-level reads work everywhere. One box: leave the defaults. Several: put the monorepo on the host with the SSD (cache.mode = "disk"), everything else on the small ones, and route by /<owner>/<repo> in front.

Nothing waits silently. Anything slow is a task with an id, a log and a progress stream — narrated to git on sideband 2 (remote: * …) and to the browser as SSE.

AGENTS.md is the full architecture and operating manual: constraints, the WAL strategies, every design decision with its reasoning, the invariants, and the cost model (round trips to the bucket are the budget).

Running it

# build (needs rust per rust-toolchain.toml, protoc, node 24 + pnpm for the web UI)
just web-build && cargo build --release -p walgit-cli
# or: nix build .#walgit        or: podman build -t walgit -f Containerfile .

# one box, TLS by walgit itself, a local S3 store (rustfs in a container)
just dev-store
./target/release/walgit-server --config walgit.standalone.toml
open https://walgit.localhost:8080/

Roles (server.roles): serve (git, API, UI, bundles, LFS), maintain (checkpoints, bundles, compaction, fsck/repair), events (the webhook bridge). Empty = all. Any number of serve hosts may point at one bucket; give each repository one maintainer (placement globs) and you are done.

Authentication

mode who gets in how git authenticates
none everyone is anon with write and admin — loopback experiments nothing
token static tokens in the config (token_env reads the secret from the environment) Authorization: Bearer <token>, or the token as an HTTP Basic password
oidc any OpenID Connect issuer (issuer, oauth_client_id/secret, allowed_domains/allowed_emails): Google, Entra, Okta, Auth0, Keycloak, Dex, GitLab… a walgit access token: sign in once in the browser, create one at /_auth/tokens, paste it into the installer. Stateless (HMAC with session_secret, access_token_ttl); rotating the secret revokes all. ID tokens from the issuer (audiences) and static tokens work too.

Developer setup is one idempotent command — sh -c "$(curl -fsSL 'https://git.example.com/services/public/install.sh')" — which stores the token in a file only the user can read, installs a tiny git credential helper (git ≥ 2.46: it answers get with authtype=Bearer, and on a real 401 erases the token and says where a new one comes from), and turns on transfer.bundleURI. ?repo=owner/name clones right after.

Developing

just test          # fast hermetic tier (< 1 min): unit + quick integration, in-memory store, real git
just e2e           # real git against the server (~20 s)
just warnings      # zero rustc warnings across all targets
just clippy        # the [workspace.lints] set across all targets, warnings are errors
just ci            # warnings, clippy, test, e2e: everything that must be green before a merge
cargo test -p walgit-server --test sim     # fault-injection simulation (crashes, partitions, stale reads)
just test-s3       # store contract against local rustfs

Code map:

crates/
  walgit-proto    protobuf schema (wal.proto), log framing, store keys
  walgit-store    ObjectStore trait (CAS versions, conditional GET, range, compose); backends s3, gcs, memory; leases
  walgit-git      bare repos on disk, receive-pack, pack ingest, refs ↔ packed-refs, advertisements, upload-pack drivers
  walgit-wal      RepoHandle: sync levels, publish (group commit + CAS), checkpoints, log reader, remote reader, tasks
  walgit-bundle   bundle-uri: slots and chains, building, header ∘ pack composition, lists, retention
  walgit-server   axum: smart HTTP, LFS, bundles, auth (none/token/oidc), the maintainer loop, upstream follow,
                  web/ (API, UI, SDK routes, SSE), setup.rs (installer + recipes), events bridge
  walgit-config   walgit.toml (+ WALGIT__ env overrides), per-repo settings merge, fail-closed validation
  walgit-cli      `walgit serve|import|compact|bundle|wal|mirror|synth|config|repo`; `walgit-server` = `walgit serve`
web/              React SPA (Vite) + sdk/repos.ts, built into the binary; the wire contract is web/API.md
docs/             BUNDLE_URI_DESIGN, ROUNDTRIPS (the cost model), POLICY, LFS, INTEGRITY, EVENTS, CONTRACT, patches/

Invariants worth memorising

License

MIT — see LICENSE.

walgit (tobi/walgit)

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2.6K ·GitHub
这是什么?walgit 是一个单二进制文件的 git 服务器,它把每个仓库作为预写日志存进 S3 或 GCS 存储桶,而不是数据库。它实现了 smart HTTP git(v0/v2)、bundle-uri 克隆、Git LFS、网页浏览 UI 和带 SDK 的 JSON API,还能扩展到比运行它的机器更大的仓库。
这是一个像 Gitea 那样的完整 git 托管平台,还是只是一个协议服务器?它是你部署的一个独立服务器二进制文件,外加一个用于与其 JSON API 通信的小型零依赖 JS SDK(repos.js);每个运行中的实例都是可抛弃的,存储桶才是真正的仓库。
怎么让它跑起来?从 walgit.standalone.toml 开始做单机配置(自签名 TLS、本地对象存储),把它指向你的存储桶就能跑;还有一个一行式的幂等安装脚本,可以配置开发者认证和 git 凭据。
运行它需要 S3 或 GCS 存储桶吗?需要,这个存储桶就是实际的仓库存储;walgit 把 AWS S3、兼容 S3 的存储(MinIO、R2、Ceph、rustfs)和 GCS 作为一等后端支持,不需要单独的数据库。
「none」认证模式公开暴露安全吗?不安全。「none」认证模式会给每个调用者匿名的写入和管理员权限,只适合本地回环实验;生产环境应改用 token 或 OIDC 认证。
为什么要做 walgit,而不是用传统 git 托管?像 GitHub 的 Spokes 这类传统托管把仓库放在本地 NVMe 上,用三阶段提交和一队精心照料的机器来复制 packfile。walgit 则让存储桶成为唯一事实来源,任意数量的无状态服务器都能服务同样的仓库,不需要任何协调。
bundle-uri 是什么?为什么重要?它把预先切好的每周/每日/每小时 git bundle 作为静态文件直接从存储桶或 CDN 提供,这样全新克隆或追赶拉取的大部分字节根本不用碰 walgit 服务器。
walgit 能服务超出机器磁盘容量的仓库吗?可以,靠一个远程读取器按需通过 HTTP range 请求获取 pack,同时提交和树缓存在本地,大体积 blob 留在存储桶里。
有哪些认证方式可选?三种模式:「none」(匿名,用于本地实验)、「token」(静态 bearer token)和「oidc」(任何 OpenID Connect 身份源,如 Google、Okta 或 Keycloak,git 操作使用 walgit 签发的访问 token)。
What are similar projects?walgithub, artcraft-services, hydradb, git-ai, gat, scion, minio, casdoor
Creator
tobi
Size
0.9 MB
Stars
2.6K
Updated
CommitSep 12
Age
1mo
Commits · 90 Days