Execution control layer for AI agents — prevents duplicate or incorrect real-world actions under retries, uncertainty, and stale context.
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
git clone https://github.com/azender1/SafeAgent && cp SafeAgent/*.md ~/.claude/agents/Subagents overview
# SafeAgent — Execution Guard for AI Agents

<!-- mcp-name: io.github.azender1/safeagent -->
**Pay per claim via x402.**
`POST /claim` · `$0.001` · Base + Solana · [safeagent-production.up.railway.app](https://safeagent-production.up.railway.app)
```bash
# Paid endpoint (x402)
curl -s -X POST https://safeagent-production.up.railway.app/claim \
-H "Content-Type: application/json" \
-H "x-payment: <Base or Solana payment>" \
-d '{"request_id":"order:TQQQ:buy:6:2026-05-19T13:31:00-04:00","action":"order"}'
# → {"status":"PROCEED"|"SKIP","request_id":"..."}
# Free test endpoint — verify your integration before paying (10 calls per IP)
curl -s -X POST https://safeagent-production.up.railway.app/claim/test \
-H "Content-Type: application/json" \
-d '{"agent_id":"bot-1","action_type":"order","scope":"TQQQ:buy:bar:2026-05-19T13:31:00-04:00"}'
# → {"status":"PROCEED"|"SKIP","request_id":"...","test":true,"calls_remaining":9}
```
Indexed on [Bazaar](https://orbisapi.com/proxy/safeagent-execution-guard-bb0b02). 102 requests / 7 days.
---
## Verified on Soma
SafeAgent is the first verified external integrator on [Soma](https://soma-api.rgiskard.xyz/catalog) — the Mycelium agent catalog. Every production execution is anchored on-chain via Mycelium Trails and independently verifiable without going through the operator.
- **Integrator badge** — verified external client running Mycelium Trails in production
- **Live trails** — [https://argentum-api.rgiskard.xyz/dashboard/trails?client=safeagent-prod](https://argentum-api.rgiskard.xyz/dashboard/trails?client=safeagent-prod)
- **Public audit** — any auditor can verify SafeAgent executions independently
---
## What it does
SafeAgent is an exactly-once execution guard. It prevents AI agents and SaaS applications from firing the same action twice — on crash-retry, duplicate signal, webhook replay, or concurrent execution across multiple instances.
Every action gets a stable `request_id` derived from what the agent is doing and when. The first call commits. Every subsequent call with the same key returns `SKIP` and the original result. No double charges. No double emails. No double orders. No duplicate webhooks.
**State machine:** `PENDING → COMMITTED | SKIP`
**Common failure modes SafeAgent prevents:**
| Scenario | Without SafeAgent | With SafeAgent |
|---|---|---|
| Stripe charge times out, retry fires | Customer charged twice | Second charge returns SKIP |
| Welcome email on signup retried | User gets two welcome emails | Second send returns SKIP |
| Webhook delivered twice (Stripe/GitHub/Twilio guarantee at-least-once) | Event processed twice | Second processing returns SKIP |
| Workspace provisioned on retry | Two workspaces created | Second provision returns SKIP |
| AI agent tool call retried after crash | Duplicate side effect | Second call returns SKIP |
---
## x402 API
### POST /claim
Gate an action. Returns PROCEED on first call, SKIP on any repeat.
```bash
curl -s -X POST https://safeagent-production.up.railway.app/claim \
-H "Content-Type: application/json" \
-H "x-payment: <payment>" \
-d '{"request_id":"order:TQQQ:buy:6:2026-05-19T13:31:00-04:00","action":"order"}'
```
```json
{ "status": "PROCEED", "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00" }
```
Retry with the same payload:
```json
{ "status": "SKIP", "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00", "existing": "..." }
```
### POST /claim/test
Free test endpoint — same logic, no payment required. Limited to 10 calls per IP total.
```bash
curl -s -X POST https://safeagent-production.up.railway.app/claim/test \
-H "Content-Type: application/json" \
-d '{"agent_id":"bot-1","action_type":"order","scope":"TQQQ:buy:6:bar:2026-05-19T13:31:00-04:00"}'
```
```json
{ "status": "PROCEED", "request_id": "...", "test": true, "calls_remaining": 9 }
```
### GET /audit
Full claim history. Filter by `agent_id`, `action`, `status`, or timestamp range.
```bash
curl "https://safeagent-production.up.railway.app/audit?agent_id=bot-1&status=COMMITTED"
```
```json
{"items": [...], "total": 5, "limit": 100, "offset": 0}
```
Parameters: `agent_id`, `action`, `status`, `from_ts`, `to_ts`, `limit` (max 1000), `offset`.
---
## Local guard (embedded SQLite)
The same guarantee without the network call. Drop this into any Python agent:
```python
import sqlite3
_SA_DB = "safeagent_orders.db"
_sa_con = sqlite3.connect(_SA_DB, check_same_thread=False)
_sa_con.execute("""CREATE TABLE IF NOT EXISTS orders (
request_id TEXT PRIMARY KEY,
result TEXT,
status TEXT DEFAULT 'PENDING',
created_at TEXT DEFAULT (datetime('now'))
)""")
_sa_con.commit()
def place_order_with_guard(symbol, qty, side, bar_ts):
request_id = f"order:{symbol}:{side}:{qty}:{bar_ts}"
_sa_con.execute(
"INSERT OR IGNORE INTO orders (request_id, status) VALUES (?, 'PENDING')",
(request_id,)
)
_sa_con.commit()
row = _sa_con.execute(
"SELECT status, result FROM orders WHERE request_id = ?",
(request_id,)
).fetchone()
if row and row[0] == 'COMMITTED':
print(f"SAFEAGENT SKIP: {request_id}")
return row[1]
result = place_order(symbol, qty, side)
_sa_con.execute(
"UPDATE orders SET status='COMMITTED', result=? WHERE request_id=?",
(json.dumps(str(result)), request_id)
)
_sa_con.commit()
return result
```
The `request_id` is stable: same symbol, same side, same quantity, same bar timestamp = same key. If the bot crashes between firing and settling, the next run sees `PENDING`, re-fires, and settles. If it crashed after settling, the next run sees `COMMITTED` and returns SKIP.
---
## Case study: crash-retry duplicate prevention
**What actually happens without a guard.**
A trading bot fires a market order to buy 6 shares of TQQQ. The broker accepts it. The bot crashes before updating state. On restart — same signal, same bar — the bot fires again. The broker fills it twice. The agent now holds 12 shares when it intended to hold 6.
This is not theoretical. It happens on any unhandled exception between order submission and state persistence.
**How SafeAgent blocks it.**
The guard derives a stable key from the order parameters before touching the broker:
request_id = f"order:{symbol}:{side}:{qty}:{bar_ts}"
e.g. "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00"
Then:
1. `INSERT OR IGNORE` — atomic, no-op if the key already exists
2. Check status — if `COMMITTED`, return cached result immediately
3. Fire order — only reaches the broker if step 2 passed
4. Settle — write `COMMITTED` + broker response
On crash between steps 3 and 4: key is `PENDING`. Next run re-fires. This is safe — `PENDING` means the order may or may not have landed. The broker's own idempotency (duplicate `client_order_id`) handles the edge case.
On crash after step 4: key is `COMMITTED`. Next run hits step 2, logs `SAFEAGENT SKIP`, returns the original order. The broker is never touched again.
**Live proof from May 19 session.**
`safeagent_orders.db` — 23 orders, 23 COMMITTED, 0 PENDING.
```
order:TQQQ:buy:6:2026-05-19T13:31:00-04:00 COMMITTED
order:TQQQ:sell:18:2026-05-19T13:25:00-04:00:TRAIL COMMITTED
order:SQQQ:buy:11:2026-05-19T13:54:00-04:00 COMMITTED
order:SQQQ:sell:22:2026-05-19T14:00:00-04:00:V20 COMMITTED
order:TQQQ:buy:6:2026-05-19T14:02:00-04:00 COMMITTED
order:TQQQ:buy:6:2026-05-19T14:05:00-04:00 COMMITTED
order:TQQQ:sell:12:2026-05-19T14:18:00-04:00:V20 COMMITTED
order:SQQQ:buy:11:2026-05-19T14:20:00-04:00 COMMITTED
order:SQQQ:sell:11:2026-05-19T14:26:00-04:00:V20 COMMITTED
order:TQQQ:buy:6:2026-05-19T14:26:00-04:00 COMMITTED
order:TQQQ:sell:6:2026-05-19T14:31:00-04:00:FLIP COMMITTED
order:SQQQ:buy:11:2026-05-19T14:31:00-04:00 COMMITTED
order:SQQQ:buy:11:2026-05-19T14:42:00-04:00 COMMITTED
order:SQQQ:buy:11:2026-05-19T14:53:00-04:00 COMMITTED
order:SQQQ:sell:33:2026-05-19T15:00:00-04:00:TRAIL COMMITTED
order:SQQQ:buy:11:2026-05-19T15:03:00-04:00 COMMITTED
order:SQQQ:sell:11:2026-05-19T15:10:00-04:00:V20 COMMITTED
order:TQQQ:buy:6:2026-05-19T15:14:00-04:00 COMMITTED
order:TQQQ:sell:12:2026-05-19T15:20:00-04:00:V20 COMMITTED
... (23 total)
```
Every order that fired is in the db as COMMITTED. If either bot instance had crashed mid-flight and restarted with the same signal, it would have hit the COMMITTED row and stopped. The broker would never have seen a duplicate submission.
**The two-bot scenario.**
Two instances of the same bot ran against the same shared `safeagent_orders.db`. They operated on different timelines — bot 1 entered the morning bull wave at 12:32, bot 2 was blocked by the broker's open-position check and entered later at 13:31. They never tried to fire the same `request_id` because they were acting on different bars.
The scenario where the db guard fires instead of the broker check: two bots on separate broker accounts, both wired to the same `safeagent_orders.db`, both reading the same bar signal at the same second. Bot 1 fires `INSERT OR IGNORE` and wins the atomic write. Bot 2 fires the same insert — SQLite's `INSERT OR IGNORE` drops it silently. Bot 2 reads the row, sees `PENDING`, and proceeds to fire. Both orders land.
This is the gap. `INSERT OR IGNORE` + status check handles crash-retry cleanly. For true concurrent multi-agent deduplication, the status check needs to happen inside a transaction with a row-level lock, or the guard needs to be the hosted endpoint where the write is serialized server-side.
The hosted `/claim` endpoint is that serialization layer.
---
## Case study: live duplicate blocking — May 21, 2026
Six confirmed SKIP events from a live session on the full stack: DashClaw, SafeAgent, Mycelium TraiWhat people ask about SafeAgent
What is azender1/SafeAgent?
+
azender1/SafeAgent is subagents for the Claude AI ecosystem. Execution control layer for AI agents — prevents duplicate or incorrect real-world actions under retries, uncertainty, and stale context. It has 6 GitHub stars and was last updated today.
How do I install SafeAgent?
+
You can install SafeAgent by cloning the repository (https://github.com/azender1/SafeAgent) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is azender1/SafeAgent safe to use?
+
Our security agent has analyzed azender1/SafeAgent and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains azender1/SafeAgent?
+
azender1/SafeAgent is maintained by azender1. The last recorded GitHub activity is from today, with 3 open issues.
Are there alternatives to SafeAgent?
+
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
Deploy SafeAgent to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/azender1-safeagent)<a href="https://claudewave.com/repo/azender1-safeagent"><img src="https://claudewave.com/api/badge/azender1-safeagent" alt="Featured on ClaudeWave: azender1/SafeAgent" width="320" height="64" /></a>More Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Production-ready platform for agentic workflow development.
The agent engineering platform.
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.