About SafeAgent
SafeAgent is an MCP server in the Communication category: a security-first control plane for autonomous AI code agents: sandboxed execution, hash grounding, diff validation, verification, and full auditability.
Install
uvx safeagent-exec-guardpip install safeagent-exec-guardThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
SafeAgent
AI agents retry. Retries fire side effects twice.
Duplicate payment. Duplicate email. Duplicate trade. Duplicate ticket.
SafeAgent is an execution guard that sits between an agent decision and an irreversible action. It gives every tool call a request ID, records a durable receipt on first execution, and returns that receipt on every retry — without running the side effect again.
pip install safeagent-exec-guard
Python 3.10+ · Apache-2.0 · Live demo
The problem
agent calls tool
↓
network timeout
↓
agent retries
↓
side effect runs twice
Most agent frameworks handle retries at the transport layer. None of them know whether the side effect already happened. SafeAgent does.
Quickstart
from settlement.settlement_requests import SettlementRequestRegistry
registry = SettlementRequestRegistry()
def send_invoice():
print("Sending invoice...")
# First call — executes the side effect
receipt = registry.execute(
request_id="invoice:C123",
action="send_invoice",
payload={"to": "c123@example.com"},
execute_fn=send_invoice,
)
# Retry with the same request_id — returns the original receipt, no second send
receipt = registry.execute(
request_id="invoice:C123",
action="send_invoice",
payload={"to": "c123@example.com"},
execute_fn=send_invoice,
)
Same request_id → original receipt returned → side effect runs exactly once.
Works with any agent framework
- OpenAI tool calls
- LangChain tools
- CrewAI actions
- Claude / MCP tool execution
- Any Python function that touches a real system
How it works
Every execution goes through a four-step control plane:
Agent decision
→ Finality gate (is this outcome confirmed?)
→ Request-ID dedup (has this exact call run before?)
→ Execute once (run the side effect)
→ Receipt stored (durable, survives restarts)
State machine: OPEN → RESOLVED → IN_RECONCILIATION → FINAL → SETTLED
Execution is only permitted from FINAL. Replays at any state return the stored receipt.
Key properties
- Exactly-once execution — same request_id never fires twice
- Durable receipts — SQLite-backed, survives process restarts
- Finality gating — blocks execution on ambiguous agent signals
- Confidence thresholds — auto-finalizes when consensus exceeds threshold
- Audit trail — every execution recorded with payload and outcome
Run the demos
# Duplicate execution prevention
python examples/safe_agent_demo.py
# Stochastic agent signal simulation
python examples/simulate_ai.py
# Restart safety (run twice)
python examples/persist_demo.py
python examples/persist_demo.py
Production use
SafeAgent is a reference implementation and pattern library. If you're deploying this in a production agent system, see LICENSING.md for commercial options.
License
Apache-2.0
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.