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Aileron Journal

by aileron-shversion 0.1.6i★ –iRuns on your computer
Registry nameio.github.aileron-sh/aileron

Install

Overview

Description from the maker (original English)

Read-only queries over Aileron audit journals: verify integrity, search recorded tool calls

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "aileron": {
      "command": "uvx",
      "args": [
        "aileron",
        "serve",
        "--root",
        "."
      ]
    }
  }
}

Run this in your terminal

claude mcp add aileron -- uvx aileron serve --root .

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "aileron": {
      "command": "uvx",
      "args": [
        "aileron",
        "serve",
        "--root",
        "."
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "aileron": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "aileron",
        "serve",
        "--root",
        "."
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account aileron-sh, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5676 servers in this category
  • Published to the registry more recently than 68% of the other 5676 servers in this category
  • Basic checks equal to or better than 100% of the other 5676 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Aileron Journal safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.6) reached the registry 19 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Aileron

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.

  • Tamper-evident audit trail. Every agent action is appended to a SHA-256 hash-chained JSONL journal with Ed25519-signed checkpoints. Edit, delete, or reorder a single line and aileron verify says exactly where the chain broke.
  • Policy enforcement on tool calls. Sigma-like YAML rules with 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.
  • Forensic incident replay. One command turns a journal into a self-contained HTML incident report with a verification badge and a filterable timeline - the answer to "what did the agent actually touch?"

60-second quickstart

$ 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.

Features

FeatureWhat you get
Hash-chained journalAppend-only JSONL; each event's prev_hash links to the previous event's SHA-256 hash; genesis is 0x00…00
Signed checkpointsEd25519 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 rules32 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 detectionRolling 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 proxySits 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 hookaileron 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 modeaileron 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 exportEvents export as gen_ai.*-aligned span dicts (aileron export) for your existing collector
HTML incident reportsSingle file, inline CSS, no external assets, verification badge (VERIFIED / TAMPERED at seq N)
Privacy by defaultTool arguments/results are recorded as digests only, unless you opt in with --capture-content

Usage

SDK: @track decorator
from 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.

SDK: track_agent session
from 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

agent_start / agent_end events bracket the run automatically

MCP proxy: framework-agnostic interception

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: record and police every tool call

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.

MCP server: ask your assistant what the agent did

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:

  • Paths are confined to `--root` and only .jsonl opens. Otherwise verify_journal(path) is an arbitrary file read.
  • Every answer carries its own integrity status. Confinement stops an agent reading files it should not; it does not stop one *writing* a plausible journal inside the root and handing you an invented history. So each reply says whether the chain verifies and whether an adjacent signed checkpoint agrees.
  • Recorded values are treated as hostile. Tool names and rule ids were chosen by the agent under investigation, so they reach an assistant labelled as untrusted data, stripped of control characters, and truncated. A tool named IGNORE PREVIOUS INSTRUCTIONS... is evidence to report, not an instruction to follow.
  • Digest-only stays digest-only. capture_content governs what the journal stores. It never widens what this server hands back, and errors never echo file contents.
Policy rules
# 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

How it works

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))

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