Your AI agents are acting without oversight. SidClaw adds the missing governance layer — policy evaluation, human approval with rich context, and tamper-proof audit trails — without changing your agent code.

What makes SidClaw different: Everyone else does Identity + Policy + Audit. SidClaw adds the Approval primitive — where a human sees exactly what an agent wants to do, why it was flagged, the agent's reasoning, and the risk level — then approves or denies with one click. That's what FINRA 2026 mandates, what the EU AI Act requires, and what no one else has shipped.

Try it right now — no signup needed:

Works With Your Stack

SidClaw integrates with 18+ frameworks and platforms — including OpenClaw (329K+ users), LangChain, OpenAI, MCP, Claude Agent SDK, Google ADK, NemoClaw, Copilot Studio, GitHub Copilot, and more. Add governance in one line of code. See all integrations →

See It In Action

Customer Support Agent (Financial Services)

An AI agent wants to send a customer email. Policy flags it for review. The reviewer sees full context — who, what, why — and approves with one click. Every step is traced.

Infrastructure Automation (DevOps)

An AI agent wants to scale production services. High-risk deployments require human approval. Read-only monitoring is allowed instantly.

Clinical Decision Support (Healthcare)

An AI assistant recommends lab orders. The physician reviews the clinical context and approves. Medication prescribing is blocked by policy — only physicians can prescribe.

How It Works

Agent wants to act → SidClaw evaluates → Policy decides → Human approves (if needed) → Action executes → Trace recorded

Four primitives govern every agent action:

┌──────────┐    ┌──────────┐    ┌──────────┐    ┌──────────┐
│ Identity │ →  │  Policy  │ →  │ Approval │ →  │  Trace   │
│          │    │          │    │          │    │          │
│ Every    │    │ Every    │    │ High-risk│    │ Every    │
│ agent    │    │ action   │    │ actions  │    │ decision │
│ has an   │    │ evaluated│    │ get human│    │ creates  │
│ owner &  │    │ against  │    │ review   │    │ tamper-  │
│ scoped   │    │ explicit │    │ with rich│    │ proof    │
│ perms    │    │ rules    │    │ context  │    │ audit    │
└──────────┘    └──────────┘    └──────────┘    └──────────┘

• allow → action executes immediately, trace recorded
• approval_required → human sees context card, approves/denies, trace recorded
• deny → blocked before execution, no data accessed, trace recorded

Quick Start

npx create-sidclaw-app my-agent
cd my-agent
npm start

What happens when you run this

The CLI:

1. Signs you up (opens the dashboard if needed)
2. Creates a governed agent with 3 demo policies
3. Scaffolds a project with the SDK pre-configured

Run npm start to see all three governance outcomes:

• search_docs -- allowed (matches allow policy)
• send_email -- requires approval (go to the dashboard to approve)
• export_data -- denied (blocked by policy)

npm install @sidclaw/sdk

import { AgentIdentityClient, withGovernance } from '@sidclaw/sdk';

const client = new AgentIdentityClient({
  apiKey: process.env.SIDCLAW_API_KEY,
  apiUrl: 'https://api.sidclaw.com',
  agentId: process.env.SIDCLAW_AGENT_ID,
});

const sendEmail = withGovernance(client, {
  operation: 'send_email',
  target_integration: 'email_service',
  resource_scope: 'customer_emails',
  data_classification: 'confidential',
}, async (to, subject, body) => {
  await emailService.send({ to, subject, body });
});

await sendEmail('[email protected]', 'Follow-up', 'Hello...');
// Policy says "allow"? → executes immediately
// Policy says "approval_required"? → waits for human approval
// Policy says "deny"? → throws ActionDeniedError, no email sent

pip install sidclaw

import os
from sidclaw import SidClaw
from sidclaw.middleware.generic import with_governance, GovernanceConfig

client = SidClaw(
    api_key=os.environ["SIDCLAW_API_KEY"],
    agent_id=os.environ["SIDCLAW_AGENT_ID"],
)

@with_governance(client, GovernanceConfig(
    operation="send_email",
    target_integration="email_service",
    data_classification="confidential",
))
def send_email(to, subject, body):
    email_service.send(to=to, subject=subject, body=body)

Integrations

SidClaw wraps your existing agent tools — no changes to your agent logic.

Agent Frameworks

Platform Integrations

Notification Channels

Approval requests are delivered to your team's preferred channels. Reviewers can approve or deny directly from chat.

Why This Exists

AI agents are being deployed in production, but the governance layer is missing:

• 73% of CISOs fear AI agent risks, but only 30% are ready (NeuralTrust 2026)
• 79% of enterprises have blind spots where agents act without oversight
• FINRA 2026 explicitly requires "documented human checkpoints" for AI agent actions in financial services
• EU AI Act (August 2026) mandates human oversight, automatic logging, and risk management for high-risk AI systems
• OpenClaw has 329K+ stars and 13,700+ skills — but 1,184 malicious skills were found in the ClawHavoc campaign. There's no policy layer governing what skills can do.

The big vendors (Okta, SailPoint, WorkOS) handle identity and authorization. But none of them ship the approval step — the part where a human sees rich context and makes an informed decision before an agent acts.

Platform Features

For Developers

• 60-second setup — npx create-sidclaw-app scaffolds a working governed agent
• <50ms evaluation overhead — the governance layer is invisible to your users
• 5-minute integration — wrap existing tools, no code changes
• MCP-native — governance proxy for any MCP server
• Framework-agnostic — LangChain, Vercel AI, OpenAI, CrewAI, Pydantic AI, Composio, Claude Agent SDK, Google ADK, LlamaIndex, NemoClaw, or plain functions
• Typed SDKs — TypeScript (npm) + Python (PyPI)

For Security & Compliance Teams

• Policy engine — allow / approval_required / deny with priority ordering and classification hierarchy
• Approval workflow — context-rich cards with agent reasoning, risk classification, and separation of duties
• Audit trails — correlated traces with integrity hash chains (tamper-proof)
• SIEM export — JSON and CSV, continuous webhook delivery
• Compliance mapping — FINRA 2026, EU AI Act, NIST AI RMF

For Platform Teams

• RBAC — admin, reviewer, viewer roles with enforced permissions
• Tenant isolation — automatic tenant scoping on every query
• API key management — scoped keys with rotation
• Rate limiting — per-tenant, per-endpoint-category
• Webhooks — real-time notifications for approvals, traces, lifecycle events
• Chat integrations — approve/deny from Slack, Teams, or Telegram without opening the dashboard
• Self-serve signup — GitHub, Google, email/password

Architecture

┌─────────────┐     ┌──────────────┐     ┌──────────────────┐
│ Your Agent  │     │  SidClaw SDK │     │  SidClaw API     │
│             │ ──► │              │ ──► │                  │
│ LangChain   │     │ evaluate()   │     │ Policy Engine    │
│ MCP Server  │     │ withGovern() │     │ Approval Service │
│ OpenAI SDK  │     │ governTools()│     │ Trace Store      │
│ Any tool    │     │              │     │ Webhook Delivery │
└─────────────┘     └──────────────┘     └──────────────────┘
                                                   │
                                          ┌────────┴────────┐
                                          ▼                 ▼
                                ┌──────────────┐  ┌──────────────┐
                                │  Dashboard   │  │ Notifications│
                                │              │  │              │
                                │ Agents       │  │ Slack        │
                                │ Policies     │  │ Teams        │
                                │ Approvals    │  │ Telegram     │
                                │ Traces       │  │ Email        │
                                │ Settings     │  │ Webhooks     │
                                └──────────────┘  └──────────────┘

Deploy

One-Click Deploy

Deploy from the GitHub repo to Railway. Add a PostgreSQL database, configure environment variables, and you're live.

Deploy the dashboard to Vercel (requires a separately hosted API).

Self-Host (Docker)

curl -sSL https://raw.githubusercontent.com/sidclawhq/platform/main/deploy/self-host/setup.sh | bash

Or manually:

git clone https://github.com/sidclawhq/platform.git
cd platform
cp deployment/env.example .env  # edit with your values
docker compose -f docker-compose.production.yml up -d

Development credentials:

• Email: [email protected] / Password: admin
• Or click "Sign in with SSO" on the login page to auto-login without a password

Hosted Cloud

No infrastructure to manage. Start free at app.sidclaw.com

See deployment documentation for production configuration, environment variables, and upgrade guides.

Documentation

• Quick Start — 2 minutes to first governed action
• SDK Reference — every method documented
• Integrations — MCP, OpenClaw, NemoClaw, LangChain, OpenAI, Claude Agent SDK, Google ADK, Copilot Studio, GitHub Copilot, and more
• Policy Guide — authoring, versioning, testing
• Compliance — FINRA, EU AI Act, NIST AI RMF
• API Reference — every endpoint

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

The SDK (packages/sdk/) is Apache 2.0. The platform (apps/) is FSL 1.1.

License

• SDK (packages/sdk/, packages/shared/): Apache License 2.0 — use freely for any purpose
• Platform (apps/api/, apps/dashboard/, apps/docs/, apps/landing/, apps/demo*/): Functional Source License 1.1 — source-available. Cannot offer as a competing hosted service. Converts to Apache 2.0 after 2 years (March 2028).

Links

• Website
• Documentation
• Dashboard
• TypeScript SDK (npm)
• Python SDK (PyPI)
• Python SDK (GitHub)
• create-sidclaw-app (npm)
• GitHub Action
• GitHub App
• Contact