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제작자가 쓴 설명(영어 원문)
Read-only queries over Aileron audit journals: verify integrity, search recorded tool calls
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"aileron": {
"command": "uvx",
"args": [
"aileron",
"serve",
"--root",
"."
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add aileron -- uvx aileron serve --root .프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"aileron": {
"command": "uvx",
"args": [
"aileron",
"serve",
"--root",
"."
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"aileron": {
"type": "stdio",
"command": "uvx",
"args": [
"aileron",
"serve",
"--root",
"."
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 aileron-sh 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.6)은 19일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Aileron is a flight recorder for AI agents.
Not another tracer. Aileron produces a tamper-evident, replayable record of every tool call your agents make - evidence you can verify offline, not telemetry you have to trust.
aileron verify says exactly where the chain broke.allow / alert / block actions, applied *before* execution via the MCP stdio proxy or the SDK decorator. A blocked tool call never runs; the attempt is logged anyway.$ pip install aileron
$ aileron demo # scripted fake-agent session (no network, no keys needed) demo: wrote 8 events to demo.chain.jsonl demo: chain VERIFIED (8 events) demo: blocked shell call by rule aileron-001 demo: 2 anomaly alert(s) emitted $ aileron verify demo.chain.jsonl OK: 8 events verified in demo.chain.jsonl $ aileron report demo.chain.jsonl -o incident.html # open it in a browser $ aileron serve --root . # or ask an assistant instead
The demo runs in the default digest-only mode: the destructive shell call is blocked by a content rule and flagged by the behavioral baseline, yet the journal on disk contains only argument digests - never the raw command.
| Feature | What you get |
|---|---|
| Hash-chained journal | Append-only JSONL; each event's prev_hash links to the previous event's SHA-256 hash; genesis is 0x00…00 |
| Signed checkpoints | Ed25519 signature over the chain tip, verifiable offline against the public key (aileron sign-checkpoint / verify-checkpoint). Checkpoints cover a *prefix*: appending later events never invalidates them; truncating or rewriting the signed prefix does |
| Policy rules | 32 bundled rules covering credential theft, cloud metadata abuse, exfiltration, supply chain, persistence, anti-forensics, database destruction, and prompt-injection artifacts. Sigma-like YAML; substring, regex, and dotted-key matchers. Rules are evaluated against the full call in memory, so content rules fire even in digest-only mode |
| Behavioral anomaly detection | Rolling baselines flag first-seen tools, rate spikes (>3x baseline), and novel tool-call sequences - live via the SDK (baseline=) or offline via aileron detect |
| MCP stdio proxy | Sits between any MCP client and server; logs and mediates every tools/call before it reaches the child process. Verified against the official filesystem and memory servers, not just test doubles |
| Claude Code hook | aileron hook plugs into Claude Code's PreToolUse and PostToolUse hooks: every tool call is journaled before it runs and again when it returns, a matching block rule stops it (exit 2, reason shown in the session, even in bypassPermissions mode), and a journal that cannot be written blocks the call instead of losing it. One settings.json snippet covers a project. See docs/claude-code.md |
| MCP server mode | aileron serve exposes your journals read-only, so an assistant can answer "what did the agent touch?" from the record. Listed in the official MCP Registry as io.github.aileron-sh/aileron |
| OTel GenAI export | Events export as gen_ai.*-aligned span dicts (aileron export) for your existing collector |
| HTML incident reports | Single file, inline CSS, no external assets, verification badge (VERIFIED / TAMPERED at seq N) |
| Privacy by default | Tool arguments/results are recorded as digests only, unless you opt in with --capture-content |
@track decoratorfrom aileron import ChainLog, track, PolicyBlocked, bundled_rules_dir
from aileron.policy import load_rules
log = ChainLog("run.chain.jsonl") # capture_content=False by default rules = load_rules(bundled_rules_dir()) # or load_rules("rules") after aileron init
@track(log=log, rules=rules) def shell(cmd: str) -> str: ... # your tool implementation
shell("ls /tmp") # -> tool_call event, status=ok, args recorded as digest shell("rm -rf /") # -> PolicyBlocked raised; blocked attempt is logged
Rules see the full arguments in memory at decision time; the journal still stores digests only. Turn on capture_content=True only when you want raw arguments *persisted* for forensics.
track_agent sessionfrom aileron import track_agent
with track_agent("research-agent", framework="langchain", log=log): shell("ls /tmp") # inherits the session's agent identity and session_id
Wrap any MCP server. Every tools/call is logged and policy-checked *before* the child process sees it:
$ aileron init # seeds a ./rules directory with starter rules
$ aileron proxy --log run.chain.jsonl --rules rules -- \ npx -y @modelcontextprotocol/server-filesystem /tmp $ AILERON_SESSION_ID=run-4821 aileron proxy --log run.chain.jsonl --rules rules \ --agent researcher --framework crewai -- npx -y @modelcontextprotocol/server-filesystem /tmp
Proxy flags go before --; everything after it belongs to the child. A harness can set AILERON_AGENT, AILERON_FRAMEWORK and AILERON_SESSION_ID per spawn instead of passing flags, and a flag wins over the environment. The journal records the identity you give it, so a rule such as agent.name: researcher matches on the proxy path. Reusing a session id across runs groups them: detect treats them as one session and the OTel export puts them in one trace.
A blocked call returns a JSON-RPC error (-32000: blocked by aileron rule ) to the client; the child is never invoked.
Verified against real MCP servers, not just test doubles. Aileron has been run in front of the official @modelcontextprotocol/server-filesystem (secure-filesystem-server 0.2.0, 14 tools) and @modelcontextprotocol/server-memory (0.6.3, 9 tools): the handshake completes, tools list normally, real calls work, a blocked write never reaches the server, and the journal verifies. That check ships as a test (tests/test_real_mcp_server.py, run with AILERON_LIVE_MCP=1).
The proxy itself costs well under a millisecond per `tools/call`. Matching content rules against large payloads costs more, and how much is yours to choose: see Performance for the split, measured.
The proxy speaks both newline-delimited and Content-Length-framed JSON-RPC. Content rules (tool.arguments_contains, _regex) work in the default digest-only mode - --capture-content changes what is persisted, not what is enforced. Calls still in flight when the child dies are journaled with status=error, so a crash never erases the attempt.
Claude Code's own tools (Bash, Edit, Write, MCP tools) go through its hook system, and aileron hook is a command hook for it. One entry, registered under PreToolUse, PostToolUse and PostToolUseFailure; the PreToolUse copy also gets "onFailure": "block":
{"type": "command", "command": "aileron",
"args": ["hook", "--log", "${CLAUDE_PROJECT_DIR}/aileron.chain.jsonl", "--rules", "${CLAUDE_PROJECT_DIR}/rules"], "timeout": 30}
Every call is journaled before it runs and again when it returns, digests only by default. A matching block rule stops the call by exit code 2 and Claude sees the reason in the session:
PreToolUse:Bash hook error: [aileron hook ...]: blocked by aileron rule
local-001 (Block destructive shell commands from Claude Code); recorded as seq 3 in /home/me/my-project/aileron.chain.jsonl
The hook fails closed: a journal that cannot be written or rules that cannot be loaded block the call rather than let it run unrecorded, and it never writes to stdout or emits an allow, so it can only narrow what Claude Code would have permitted. Hook processes run in parallel and serialise on .lock. aileron verify and aileron report work on the journal as on any other. Full setup, the event shapes and the limits (what a timed-out hook means, @ file reads, mods) are in docs/claude-code.md.
Aileron sits in front of MCP servers. It is also one. Point it at a directory of journals and an assistant can read the record for you:
$ aileron serve --root ./journals
Three tools, all read only: verify_journal (is this record intact), query_events (what happened, filtered by tool, status, or time), and explain_rule (what does aileron-130 catch).
There is no write, delete, or sign tool, and there should never be. The agent being recorded is the untrusted party, so giving it a way to edit the journal would hand the suspect the evidence locker.
Four things follow from that, and they are the reason this is more than a wrapper around aileron verify:
.jsonl opens. Otherwise verify_journal(path) is an arbitrary file read.IGNORE PREVIOUS INSTRUCTIONS... is evidence to report, not an instruction to follow.capture_content governs what the journal stores. It never widens what this server hands back, and errors never echo file contents.# a policy rule (see the bundled rules/examples/destructive-shell.yml)
id: aileron-001 title: Block destructive shell commands severity: high match: type: tool_call tool.name: shell tool.arguments_contains: ["rm -rf", "DROP TABLE", ":(){ :|:& };:"] action: block
Dry-run rules against a recorded session: aileron rules test rules/ run.chain.jsonl
agent ──tool call──► [ SDK @track ] ──┐
[ MCP proxy ] ──┼─► policy decide (allow/alert/block) │ │ block? ──► call never executes, MCP client ──JSON-RPC──► proxy ───────┘ │ attempt still logged ▼ append to chain log (JSONL)
event 0 event 1 event N ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ seq: 0 │ │ seq: 1 │ │ seq: N │ │ prev: 0000… │─►│ prev: H(e0) │─► … ──►│ prev: H(eN-1)│ │ hash: H(e0) │ │ hash: H(e1) │ │ hash: H(eN) │──► Ed25519 checkpoint └──────────────┘ └──────────────┘ └──────────────┘ signature over tip
H(e) = sha256(canonical_json(e \ hash))
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요