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Aileron Journal

de aileron-shversión 0.1.6i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.aileron-sh/aileron

Instalar

Resumen

Descripción del creador (original en inglés)

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

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Búsqueda y memoria de IA

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

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

Ejecuta esto en tu terminal

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

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

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

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

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

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub aileron-sh, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 5653 servidores de esta categoría
  • Publicado en el registro más recientemente que el 68% de los otros 5653 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 5653 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Aileron Journal?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.1.6) llegó al registro hace 19 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado ayer
Instalar

Codebase Memory

de DeusData

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

Se ejecuta en tu computadora★ 48.148MITActualizado hace 21 días
Instalar

Exa

de exa-labs

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

Se ejecuta en la nube★ 5213MITActualizado hace 2 meses
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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))

Solo se muestra el principio; lee el resto en el repo

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