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PopNx MCPMCP servers for people who use AI · explained in plain words

Safeagent

by azender1version 0.1.22i★ 8iRuns on your computer
Registry nameio.github.azender1/safeagent

How to install

What it does

Exactly-once execution guard for AI agents. Prevents duplicate payments and webhooks on retry.

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Developer tools

Install

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

Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Let AI install it

Copy this message into a Claude chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Safeagent for Claude on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "safeagent": { "command": "uvx", "args": [ "safeagent-exec-guard" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the Safeagent tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

  1. Install uv (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    uv --version
    • A version number such as uv … = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: press ⌘ + Space, type Terminal, press Enter

    Windows: open Start, type Windows PowerShell, then Open

    Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required

    Open the uv download page ↗

    When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version

    Install once; it works for everything that needs uv

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "safeagent": {
          "command": "uvx",
          "args": [
            "safeagent-exec-guard"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use Safeagent and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Safeagent or shows a Safeagent tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Safeagent yet

Safeagent runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Safeagent

  • Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)

B · Others in Developer tools that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a Claude Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Safeagent for Claude Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): claude mcp add --scope user safeagent -- uvx safeagent-exec-guard 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the Safeagent tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

  1. Install uv (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    uv --version
    • A version number such as uv … = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: press ⌘ + Space, type Terminal, press Enter

    Windows: open Start, type Windows PowerShell, then Open

    Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required

    Open the uv download page ↗

    When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version

    Install once; it works for everything that needs uv

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user safeagent -- uvx safeagent-exec-guard
  4. Type /mcp in Claude Code

    You should see Safeagent listed as connected

  5. Try it

    Use Safeagent and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Safeagent or shows a Safeagent tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a Cursor chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Safeagent for Cursor on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "safeagent": { "command": "uvx", "args": [ "safeagent-exec-guard" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the Safeagent tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

  1. Install uv (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    uv --version
    • A version number such as uv … = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: press ⌘ + Space, type Terminal, press Enter

    Windows: open Start, type Windows PowerShell, then Open

    Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required

    Open the uv download page ↗

    When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version

    Install once; it works for everything that needs uv

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use Safeagent and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Safeagent or shows a Safeagent tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a VS Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Safeagent for VS Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "servers": { "safeagent": { "type": "stdio", "command": "uvx", "args": [ "safeagent-exec-guard" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the Safeagent tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

  1. Install uv (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    uv --version
    • A version number such as uv … = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: press ⌘ + Space, type Terminal, press Enter

    Windows: open Start, type Windows PowerShell, then Open

    Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required

    Open the uv download page ↗

    When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version

    Install once; it works for everything that needs uv

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use Safeagent and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Safeagent or shows a Safeagent tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Safeagent💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user safeagent -- uvx safeagent-exec-guard

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "safeagent": {
      "command": "uvx",
      "args": [
        "safeagent-exec-guard"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "safeagent": {
      "command": "uvx",
      "args": [
        "safeagent-exec-guard"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "safeagent": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "safeagent-exec-guard"
      ]
    }
  }
}

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

At a glance

Downloads per weeki
34/wk
Licencei
Apache-2.0
Connection
Runs on your computer
Latest versioni
0.1.22
Published to registryi
Jun 17, 2026
Code last changedi
Oct 7, 2026
Maker
azender1
Packages
pypi: safeagent-exec-guard
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

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 15, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account azender1, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 39 days ago

  • ✓ Pass

    Has a licence

    Uses Apache-2.0

  • – 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

Published vulnerabilities (OSV.dev)

Not checked yet

What we check → · JSON

Makers: ask for a re-check or report wrong info

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Developer toolsi

  • More stars than 88% of the other 5911 servers in this category
  • Published to the registry more recently than 17% of the other 5911 servers in this category
  • Basic checks equal to or better than 100% of the other 5911 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 Safeagent safe?

It passed 3 of 3 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 39 days ago, and the latest version (0.1.22) reached the registry 5 months 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: GitDiagram, Appllama, Cloudflare MCP, Omnara, Repowise

Similar alternatives

Same category, other makers, commands already checked. Official ones first, then by stars.

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

GitDiagram

Architecture diagrams, explanations and Mermaid source for public GitHub repositories.

by ahmedkhaleel2004Widely used★ 18.9KUpdated 2 months ago

Runs in the cloud✓ service owner · gitdiagram.comTried by the PopNx team

Appllama

Study screens, flows and paywalls from top-earning iOS apps, then build from what wins.

by AppllamaWidely used★ 5.2KUpdated 3 months ago

Runs in the cloud✓ service owner · appllama.io

Cloudflare MCP

Cloudflare MCP servers

by cloudflareWidely used★ 4.5KUpdated 14 months ago

Runs in the cloud✓ service owner · mcp.cloudflare.comTried by the PopNx team

Omnara

Deploy durable AI agents with Omnara, an open-source managed-agent platform.

by omnara-aiWidely used★ 3.4KUpdated 2 months ago

Runs in the cloud✓ service owner · omnara.com

Repowise

Codebase intelligence for AI coding agents: graph, git history, docs, decisions, code health.

by repowise-devWidely used↓ 6.5K/wk★ 8.1K Stars for the whole repoUpdated 2 days ago

Computer or cloud✓ service owner · repowise.dev
  • GitDiagram — Runs in the cloud, nothing to install · No key needed
  • Appllama — Runs in the cloud, nothing to install · No key needed
  • Cloudflare MCP — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
  • Omnara — Runs in the cloud, nothing to install · No key needed
  • Repowise — Cloud or install on your computer · No key needed

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.

SafeAgent — Execution Guard for AI Agents

POST /claim · safeagent-production.up.railway.app Dashboard: safeagent-dashboard-2.vercel.app

# Claim an action — free, no payment header required

curl -s -X POST https://safeagent-production.up.railway.app/claim \ -H "Content-Type: application/json" \ -d '{"request_id":"order:TQQQ:buy:6:2026-05-19T13:31:00-04:00","action":"order"}'

→ {"status":"PROCEED","request_id":"..."}

Settle after the action fires

curl -s -X POST https://safeagent-production.up.railway.app/settle/order:TQQQ:buy:6:2026-05-19T13:31:00-04:00 \ -H "Content-Type: application/json" \ -d '{"result":{"status":"completed"}}'

→ {"status":"committed","request_id":"..."}

Retry with the same request_id — returns SKIP

curl -s -X POST https://safeagent-production.up.railway.app/claim \ -H "Content-Type: application/json" \ -d '{"request_id":"order:TQQQ:buy:6:2026-05-19T13:31:00-04:00","action":"order"}'

→ {"status":"SKIP","request_id":"...","existing":{...}}

Free test endpoint — same logic, limited to 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","request_id":"...","test":true,"calls_remaining":9}

Indexed on Bazaar.

Measured CrewAI retry A/B

A credential-free experiment exercises CrewAI 1.15.21's actual same-process \ToolUsage._use\ retry against SafeAgent 0.1.23. Across 30 post-effect/pre-confirmation trials, the unguarded path recorded two effects per logical action; the SafeAgent path recorded one effect and retained a \PENDING\ claim for reconciliation.

Scope: scripted deterministic LLM and harmless effect recorded through an out-of-process capability-separated ledger. This does not validate process death, fresh-worker recovery, a real external provider, or SafeAgent Control reconciliation.

Method, source, tests, hashes, and 180-trial evidence

SafeAgent Control founding pilots

Two bounded, read-only reconciliation pilots are open for outside operators. There is no fee unless SafeAgent Control identifies a previously unknown, reproducible discrepancy that the operator agrees is actionable.

Scope and outcome-based terms



Mycelium Trails

This implementation is a Mycelium Provider. Each completed action submits a trail to ARGENTUM with a content-addressed action_ref (JCS+SHA-256 over the four preimage fields). The returned mycelium_trail_id is included in every receipt for independent verification.


Verified on Soma

SafeAgent is the first verified external integrator on Soma — the Mycelium agent catalog. Every production execution is anchored on-chain via Mycelium Trails and independently verifiable without going through the operator.


What it does

SafeAgent is a durable execution-claim guard. It suppresses concurrent and repeated attempts that use the same stable request_id, and preserves unresolved attempts for reconciliation instead of silently retrying them.

Every action gets a stable request_id derived from the logical action. A new key returns PROCEED; a settled key returns SKIP with its stored result. A key left PENDING after a timeout or crash remains blocked because local state alone cannot prove whether the provider accepted the action. Recover it only after checking provider evidence or using provider-native idempotency.

State machine: CLAIMABLE → PENDING → COMMITTED; later claims observe PENDING or SKIP.

Common failure modes SafeAgent prevents:

ScenarioWithout SafeAgentWith SafeAgent
Stripe charge times out after acceptanceRetry may charge twiceSame key remains PENDING until provider reconciliation
Welcome email on signup retriedUser gets two welcome emailsSecond send returns SKIP
Webhook delivered twice (Stripe/GitHub/Twilio guarantee at-least-once)Event processed twiceSecond processing returns SKIP
Workspace provisioned on retryTwo workspaces createdSecond provision returns SKIP
AI agent tool call retried after crashDuplicate side effectSame key stays blocked; outcome is explicitly unresolved

Guarantee boundary: SafeAgent proves local claim state, not the external outcome. COMMITTED means the caller settled a receipt. PENDING means unresolved—not failed and not confirmed successful. End-to-end exactly-once effects require provider-native idempotency and/or reconciliation with the provider's authoritative records.


The stack

SafeAgent is the durable claim and duplicate-suppression layer in an agent execution integrity stack:

Polaris (commit-gated authorization)

└── AgentGraph safety verdict (pre-execution safety gate) └── SafeAgent (durable claim guard) ← you are here └── Mycelium Trails (on-chain anchor)

Each layer is independently authored and independently verifiable. None trusts the others.


API

POST /claim

Gate an action. Returns PROCEED on first call, SKIP on any repeat.

Request body:

{

"request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00", "action": "order" }

  • request_id — stable identifier derived from what the agent is doing. Same inputs = same key.
  • action — the action type being gated (e.g. payment.send, email, trade, order)

Response:

{ "status": "PROCEED", "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00" }

Retry with the same payload:

{ "status": "SKIP", "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00", "existing": {...} }
POST /settle/{request_id}

Settle a claim after the action fires. Advances status from PENDING to COMMITTED.

curl -s -X POST https://safeagent-production.up.railway.app/settle/order:TQQQ:buy:6:2026-05-19T13:31:00-04:00 \

-H "Content-Type: application/json" \ -d '{"result":{"status":"completed","txid":"abc123"}}'

{ "status": "committed", "request_id": "..." }
POST /claim/test

Free test endpoint — same logic, no payment required. Limited to 10 calls per IP total.

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"}'

{ "status": "PROCEED", "request_id": "...", "test": true, "calls_remaining": 9 }
GET /audit

Full claim history. Filter by agent_id, action, status, or timestamp range.

curl "https://safeagent-production.up.railway.app/audit?agent_id=bot-1&status=COMMITTED"
{"items": [...], "total": 5, "limit": 100, "offset": 0}

Parameters: agent_id, action, status, from_ts, to_ts, limit (max 1000), offset.


Integration

Python
import requests

def claim(request_id: str, action: str) -> dict: r = requests.post( "https://safeagent-production.up.railway.app/claim", headers={"Content-Type": "application/json"}, json={"request_id": request_id, "action": action} ) return r.json() # {"status": "PROCEED"|"SKIP", "request_id": "..."}

def settle(request_id: str, result: dict) -> dict: r = requests.post( f"https://safeagent-production.up.railway.app/settle/{request_id}", headers={"Content-Type": "application/json"}, json={"result": result} ) return r.json()

Usage

response = claim("payment:customer-123:invoice-456", "payment.send") if response["status"] == "PROCEED": result = send_payment(...) settle("payment:customer-123:invoice-456", {"status": "completed"}) elif response["status"] == "SKIP": print("Already executed, skipping")

SaaS (Stripe / email / webhooks)

For production Stripe PaymentIntents, use the permit-gated adapter documented in SafeAgent Boundary. It keeps the Stripe credential outside the agent, passes the consumed permit ID to Stripe as the native idempotency key, persists the provider correlation, verifies webhook signatures and supports authoritative read-back. The simple claim/settle snippet below illustrates the generic API only; it is not the provider adapter.

Run the bounded test-mode example in examples/stripe_payment_intent_guard.py. The verification record documents the observed end-to-end result: one successful Stripe sandbox PaymentIntent, an exact replay blocked before provider dispatch, and authoritative reconciliation by retrieve.

import requests

def safe_stripe_charge(customer_id, amount, idempotency_key): request_id = f"stripe:charge:{customer_id}:{idempotency_key}"

response = requests.post( "https://safeagent-production.up.railway.app/claim", headers={"Content-Type": "application/json"}, json={"request_id": request_id, "action": "stripe_charge"} ).json()

if response["status"] == "SKIP": return response.get("existing")

charge = stripe.PaymentIntent.create( amount=amount, currency="usd", customer=customer_id, idempotency_key=request_id, ) requests.post( f"https://safeagent-production.up.railway.app/settle/{request_id}", headers={"Content-Type": "application/json"}, json={"result": {"charge_id": charge.id}} ) return charge

Webhook deduplication — stable event IDs suppress repeated processing after a settled result; unresolved PENDING events stay blocked for investigation:

def handle_stripe_webhook(event):

response = requests.post( "https://safeagent-production.up.railway.app/claim", headers={"Content-Type": "application/json"}, json={"request_id": event["id"], "action": "stripe_event"} ).json()

if response["status"] == "SKIP": return {"ok": True}

provision_subscription(event) requests.post( f"https://safeagent-production.up.railway.app/settle/{event['id']}", headers={"Content-Type": "application/json"}, json={"result": {"processed": True}} )

CrewAI
from crewai import Agent

import sqlite3

guard_con = sqlite3.connect("safeagent_orders.db", check_same_thread=False)

... same guard pattern, keyed on tool_name + input hash + session_id

PR crewAIInc/crewAI#5822 adds pluggable idempotency backends. SafeAgent's SQLite schema is compatible.

WisePick

WisePick is a deterministic routing layer for agent runtimes. The integration splits capability selection from durable, idempotent execution — WisePick answers *what* and *which provider*, SafeAgent answers *whether this logical work already ran*.

Stack:

WisePick /v1/decide → DashClaw → SafeAgent → Mycelium Trails → Ba

Only the beginning is shown; read the rest in the repo