agentic-wallet-guardian-v3
Agentic Wallet Guardian
Documentation
Agentic Wallet Guardian
๐ Read the white paper
**A self-hosted decision engine that sits between an AI agent and blockchain
execution.** Agents submit a proposed action, Guardian returns an
explainable ALLOW / WARN / BLOCK before anything gets signed or broadcast.
POST /decision -> ALLOW / WARN / BLOCK (with a reasoned explanation)It runs on your own infrastructure, using your own policy rules and your
own reputation data - see Why self-hosted for why that
matters and how this differs from calling a hosted security API directly.
See it decide, live: run the API locally (`GUARDIAN_ENABLE_CORS_FOR_BROWSER_DEMO=true
uvicorn api.main:app --reload`), then open `examples/browser-demo.html`
in a browser - no build step, no server for the page itself. Every
scenario button sends a real `POST /decision` to your running instance
and renders the actual response (risk score, every signal that fed into
it, every policy rule that fired) - nothing in the page is scripted or
faked. `GUARDIAN_ENABLE_CORS_FOR_BROWSER_DEMO` is off by default (see
`guardian/config.py`) since it's specifically for this local-demo case,
not something to leave on for a real deployment.
Why self-hosted
There are good hosted alternatives for agent-transaction security (GoPlus's
AgentGuard, Blockaid, Chainalysis/TRM for compliance). If you just want a
risk score and don't care who sees the query, calling one of those directly
is less work than running this. Guardian exists for the cases where that
tradeoff doesn't work for you:
- **Nothing about which wallets, contracts, or amounts your agents touch
leaves your infrastructure.** Threat-intel and contract allow/deny checks
are local JSON files you populate yourself (see
`data/threat_lists/README.md`), not a lookup call to a third party. A
hosted API inherently sees every address and amount you ask it about.
- Your policy rules live in your code, not a vendor's dashboard.
Spending caps, reputation gates, and which action types require
confirmation are plain Python in `guardian/policy/`, reviewable and
changeable without waiting on anyone else's product roadmap.
- No per-call fees or rate limits imposed by someone else - only the
ones you configure for your own users (`GUARDIAN_RATE_LIMIT_PER_MINUTE`).
- No vendor lock-in. Every external data source (RPC endpoint,
Blockscout instance, DexScreener) is swappable behind a small provider
interface - see Architecture.
The honest tradeoff going the other way: you also take on running it,
keeping your local threat lists current, and you don't get a hosted
vendor's chain coverage or dedicated threat-research team for free. This is
the right choice for teams that specifically need data sovereignty or deep
policy customization - not a strict upgrade over every hosted option.
Architecture
AI Agent
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v
Action Intent
{ agent_id, wallet, chain, action_type,
target, amount, metadata }
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v
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Guardian Decision Engine โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ 1. Hard Rules โ single 0-100 score
โ 10. Reputation Adjustment โ
โ 11. Explanation โ human-readable reasons
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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v
ALLOW / WARN / BLOCK
|
v
Blockchain ExecutionEvery data source in steps 2-4 is a small provider interface with a mock
implementation (zero config, zero network calls) and a real one, selected
per-source by environment variable - see `.env.example`. Switching from
demo mode to a real deployment is a config change, not a code change.
Repository layout
guardian/
config.py GuardianConfig - the one place that reads os.environ
core/ ActionIntent, Signal, Decision, EvaluationContext
(zero external dependencies - no pydantic/FastAPI)
decision/ DecisionEngine (orchestrator), RiskFusionEngine, hard rules
reasoning/ explanation + confidence builders
intelligence/
wallet/ analyzer.py + providers.py (mock | RpcWalletDataProvider)
token/ analyzer.py + providers.py (mock | DexScreenerTokenDataProvider | GoPlusTokenDataProvider)
contract/ analyzer.py + providers.py (mock | BlockscoutContractDataProvider | GoPlusContractDataProvider)
simulation/ pre-execution dry-run (mock | real eth_call) + tx_builder.py (real calldata for transfer/approve)
goplus_client.py shared GoPlus Token Security API client (used by both contract + token)
threat/ blocklist.py (local AddressList) + intelligence.py
policy/ PolicyEngine + policy templates (spending caps, reputation gates)
reputation/ AgentReputation (score derived from decision history)
memory/ storage.py (protocol) + InMemoryStorage + sqlite_storage.py
api/
main.py FastAPI app: /decision, /health, /capabilities, /agents/{id}/history, /demo/{scenario}
security.py API-key auth dependency + rate-limit middleware
schemas.py pydantic request/response models (API boundary only)
mcp_server.py MCP stdio server - same DecisionEngine, no HTTP required
data/threat_lists/ local, operator-maintained allow/deny lists (empty by default - see its README)
scripts/
refresh_ofac_list.py fetch OFAC's public SDN list into the local threat list
tests/ 101 tests covering the engine, policy, reputation, and every provider`guardian/*` is intentionally dependency-free (standard library only,
except where a real provider needs `httpx` or `web3`), so the decision
core can be unit-tested, embedded in another service, or ported to a
different web framework without dragging FastAPI along. Only `api/`
touches pydantic/FastAPI.
Honesty about the current state
This is real, runnable, tested decision infrastructure with real (not
mock) data sources available for every signal source - but "available"
isn't the same as "flip a switch and trust it blindly." Specifics:
- Wallet (RPC provider): `is_contract` and `tx_count` (nonce-based) are
reliable with any JSON-RPC endpoint. Wallet *age* requires an
archive-capable node and is off by default
(`GUARDIAN_RPC_ESTIMATE_AGE=false`) - most free public RPC endpoints
don't serve historical state, so this fails closed to "unknown" rather
than guessing.
- Contract (Blockscout provider): real verification-status lookups
against a public Blockscout instance. Their exact response schema and
rate limits can change - this is written to degrade to "unknown" on any
unexpected response, never to fabricate an answer, but hasn't been load-
tested against production traffic.
- Token (DexScreener provider): real liquidity data, but matching a
bare ticker symbol to an on-chain pair is inherently ambiguous (many
unrelated tokens share a symbol, and scammers deliberately mint
look-alikes). The provider picks the highest-liquidity pair on the
requested chain and reports its own match confidence rather than
presenting a guess as certain - for anything where that ambiguity
matters, match by contract address instead of symbol.
- Contract + Token (GoPlus provider): real contract-security
(owner-can-drain, mintable, self-destruct, hidden owner) and
trading-security (honeypot, buy/sell tax, blacklist, pausable transfers,
holder concentration) from GoPlus's Token Security API - meaningfully
more signal types than Blockscout/DexScreener give individually, since
GoPlus's own static analysis covers both in one call. Two real limits:
it only has data for contracts it's actually analyzed (mostly token
contracts, not generic dApp/router contracts), and `GoPlusTokenDataProvider`
needs a contract *address* - a bare symbol like "PEPE" can't be resolved
and is honestly reported as unverifiable rather than guessed at.
- Sanctioned-address list is real, populated data: 103 addresses (100
EVM + 3 Solana) from OFAC's SDN list, via
0xB10C/ofac-sanctioned-digital-currency-addresses -
verified end-to-end (a known-sanctioned address correctly triggers
`BLOCK` through the full pipeline) and verified to correctly reflect
delistings, not just additions (Tornado Cash's addresses, removed from
the SDN list in March 2025, are correctly absent). Re-run
`scripts/refresh_ofac_list.py` periodically - sanctions change in both
directions.
- **`malicious_contracts.json` / `verified_contracts.json` still ship
empty on purpose** (see `data/threat_lists/README.md`) - there's no
single authoritative source for "malicious contract" the way OFAC's
list is authoritative for sanctions, so populating these is a judgment
call for whoever operates this instance, not something to seed by
default with unverified entries.
- Simulation is real, but conditional. `RpcSimulationProvider`
(`GUARDIAN_SIMULATION_PROVIDER=rpc`) genuinely dry-runs a transaction via
`eth_call`/`eth_estimateGas` against current chain state - a revert comes
back with its actual reason, not a guess, and ERC-20 `approve()` amounts
are decoded from real calldata instead of inferred. This activates when
the caller supplies raw calldata via `intent.metadata["data"]`, OR - new -
when `GUARDIAN_TX_BUILDER=rpc` is also set and the intent is a plain
`transfer` or `approve` (see next bullet). A `swap` intent with no
transaction built yet still has nothing to dry-run - Guardian reports
that honestly (`simulation_not_attempted`) rather than guessing.
- **Transaction building closes part of that gap, deliberately not all
of it.** `RpcTransactionBuilder` (`GUARDIAN_TX_BUILDER=rpc`) turns a
semantic `transfer`/`approve` intent into real calldata - it fetches the
token's actual `decimals()` via RPC rather than assuming 18 (a wrong
assumption there would scale the amount by orders of magnitude), and
deliberately has no hardcoded token-address registry: a bare symbol like
"USDC" is refused rather than guessed at, since a wrong address here
wouldn't just be a bad risk signal, it'd be an artifact that could end up
in a real transaction. `swap` is built against Uniswap V2 Router02 only
(one immutable, well-known contract - function selectors computed
locally via `Web3.keccak`, not copied from memory) - real
`getAmountsOut()` on-chain quote, caller-supplied `max_slippage_bps`
required (never a default, same reasoning as decimals above). `bridge`
is a genuinely open-ended L2/bridge routing problem in general - dozens
of protocols, wildly different trust models - but this module handles
one well-scoped slice of it: L1 -> L2 deposits through a destination
chain's own official OP Stack bridge (currently: Base and Optimism -
`depositETHTo`/`depositERC20To` on `L1StandardBridge`, both addresses
independently cross-checked - Base against Etherscan's label plus
basehub.org, Optimism against the official
ethereum-optimism/superchain-registry plus a second independent
dev-tool config - before being hardcoded).
L2 -> L1 withdrawals are NOT built - that's a genuinely different, much
slower proof/challenge-window flow, not a variant of the deposit call.
Bridging to anywhere else, or via any non-canonical bridge, returns
`None` rather than guessing.
- Intent verification can now actually enforce, not just flag.
`decision/intent_verification.py` compares an agent's declared
`approve` amount against what the simulated calldata really encodes -
but that comparison needs the token's `decimals()` to convert between
human units and atomic ones. `GUARDIAN_DECIMALS_PROVIDER=rpc`
(`RpcTokenDecimalsProvider`, see
`guardian/intelligence/token/decimals.py`) fetches that for real via
`eth_call`, cached forever per (chain, token) since a deployed
contract's `decimals()` can't change. Left at its `null` default, a
mismatch this module could otherwise catch degrades to an honest
"cannot verify" WARN instead - same "no silent guessing" rule as
everywhere else in this module, not a gap that got missed.
`RpcTransactionBuilder` shares this same cache when both are
configured with a real provider, instead of doing its own independent,
uncached lookup for the same token.
- Storage: `InMemoryStorage` (default, zero setup), `SQLiteStorage`
(`GUARDIAN_STORAGE_BACKEND=sqlite` - persists across restarts, no
external infra), or `PostgresStorage`
(`GUARDIAN_STORAGE_BACKEND=postgres` + `GUARDIAN_POSTGRES_DSN` - the
fit for multiple replicas behind a load balancer, where SQLite's
single-writer model becomes the bottleneck; `pip install -r
requirements-postgres.txt`). Tested against a real local Postgres
instance, not mocked - see `tests/test_postgres_storage.py`. Redis is
still open if you specifically want it; the two-method
`MemoryBackend` interface is small enough to implement against
anything.
- API auth/rate-limiting are intentionally minimal - built for one
self-hosted instance behind your own network boundary, not a
multi-tenant gateway. Put a real API gateway in front if you need that.
- Not security-audited. The policy engine and risk fusion logic have
not been reviewed by anyone outside this repo. Treat `BLOCK` as a strong
signal, not a guarantee, until that's happened.
Everything downstream of a `Signal` - fusion, policy, reputation,
explanation, the API - does not need to change as any of the above
gets hardened further. That boundary is the actual design contract here.
Quickstart
Zero-config demo mode (mock providers, in-memory storage, no auth):
pip install -r requirements.txt
uvicorn api.main:app --reloadOr with Docker:
docker compose up --buildTry the canned scenarios:
curl http://localhost:8000/demo/safe
curl http://localhost:8000/demo/unknown
curl http://localhost:8000/demo/maliciousOr submit your own intent:
curl -X POST http://localhost:8000/decision \
-H "Content-Type: application/json" \
-d '{
"agent_id": "trading-agent-001",
"wallet": "0x742d35Cc6634C0532925a3b844Bc454e4438f44e",
"chain": "ethereum",
"action_type": "swap",
"from_token": "ETH",
"to_token": "USDC",
"amount": 5
}'Going from demo to a real self-hosted deployment
Copy `.env.example` to `.env` and adjust:
cp .env.example .envAt minimum for a real deployment: set `GUARDIAN_API_KEY` (auth is off by
default), `GUARDIAN_STORAGE_BACKEND=sqlite` (persistence), and whichever
`GUARDIAN_*_PROVIDER` variables you want pointed at real data instead of
mock - see the comments in `.env.example` for every option, and
`RpcWalletDataProvider`/`BlockscoutContractDataProvider`/
`DexScreenerTokenDataProvider`/`GoPlusContractDataProvider`/
`GoPlusTokenDataProvider`'s docstrings for what each one actually
gives you.
If more than one agent shares this deployment, also set
`GUARDIAN_AGENT_API_KEYS` (format: `agent_id:key,agent_id2:key2`). A
single `GUARDIAN_API_KEY` only proves *a* caller holds a valid key - it
does not prove *which* agent_id a given request actually came from, since
`agent_id` is just a field in the request body. Anyone holding the shared
key can submit any agent_id and inherit that agent_id's accumulated
reputation and capability grants. `GUARDIAN_AGENT_API_KEYS` binds each
agent_id to its own key; `GUARDIAN_API_KEY`, if also set, keeps working
as a master key that can act as any agent, for admin/testing use. For a
genuinely single-agent deployment, `GUARDIAN_API_KEY` alone is fine.
MCP (no HTTP required)
For agent frameworks that speak MCP (LangChain, CrewAI, Claude Desktop,
etc.), `mcp_server.py` exposes the same decision engine as two tools
(`evaluate_action`, `get_agent_history`) over stdio - install
`requirements-mcp.txt` alongside `requirements.txt` (they resolve into one
environment; see the comment at the top of `requirements-mcp.txt`) and
point your MCP client at `python mcp_server.py`.
Running the tests
pip install -r requirements.txt -r requirements-chain.txt
pytest -q`requirements-chain.txt` (`web3`) is only needed for the RPC-provider
tests; the rest of the suite runs with just `requirements.txt`. The
`guardian/*` core has no external dependencies beyond that, so it's also
runnable with:
PYTHONPATH=. python3 -m unittest discover -s tests -vCI (`.github/workflows/ci.yml`) runs the full suite on every push/PR
against Python 3.11 and 3.12.
Signed, verifiable decisions (OAA)
Every decision this service returns โ from a single policy check up
through the full pipeline โ is signed as an [OAA (Open Agent
Attestation)](https://github.com/rudimentall1/open-agent-attestation)
token: an Ed25519-signed JWT wrapping the decision, the action, and
the reason.
Anyone holding the public key can verify a decision offline, without
calling back to whatever instance of Guardian issued it โ useful for
an auditor, a downstream service, or just a record you want to trust
later without trusting the server that produced it.
python examples/example_oaa_attestation.py
python examples/example_full_pipeline.py # capability -> intent -> engine -> OAAThe reference OAA implementation is ~150 lines
(`oaa.py`/`attestation.py` upstream) and is shared, unmodified,
across this project and agent-guardrail โ
same signing format, same verification path, no per-project fork.
Using Guardian in front of MetaMask Agent Wallet
MetaMask Agent Wallet's Guard Mode / Beast Mode apply the same static
spend limits and allowlists to every agent. Guardian is a second,
independent check in front of it: does *this* specific action look
right for *this* agent, right now โ before the `mm` CLI is ever
invoked.
`skills/guardian-check/` is a standard
Agent Skill โ the same open format MetaMask
itself uses for `mm` (`npx skills add MetaMask/agent-skills`). Install
it alongside MetaMask's own skill in any Agent-Skills-compatible
runtime (Claude Code, Cursor, Codex, OpenClaw), and the agent will
call a running Guardian instance for an ALLOW/WARN/BLOCK decision
before running any `mm` command that moves funds โ `mm send`, `mm
swap`, `mm bridge`, `mm perps`, `mm predict trade`, `mm earn`, `mm
aave`, `mm pay`.
Guardian never holds keys and never executes anything โ `mm` remains
the only thing that signs or broadcasts. This is a decision gate the
agent is instructed to consult first, not a modification to
MetaMask's own pipeline (there's no public hook for that today).
uvicorn api.main:app --reload # run Guardian locally
export GUARDIAN_API_URL="http://localhost:8000"
python skills/guardian-check/scripts/check.py \
--agent-id my-agent --wallet 0x... --chain ethereum \
--action-type transfer --target 0x... --amount 50From advisory to enforced: GuardianValidator
Everything above is advisory - Guardian tells you ALLOW/WARN/BLOCK, but
the caller still has to *choose* to respect that. `onchain/`
is a real ERC-7579 validator module for ERC-4337 smart accounts that
closes that gap: once installed, the account's UserOperations only ever
reach the chain if a trusted Guardian signer attested, for that *exact*
operation, that the decision was ALLOW - not something an agent can skip
asking or ignore the answer to. See `onchain/README.md`
for why it needs a second, EVM-native signature format alongside OAA
(Ed25519 has no EVM precompile and costs ~2,000,000 gas to verify in pure
Solidity; this module's entire `validateUserOp` costs 27k-59k gas), what's
deliberately out of scope (WARN never passes on-chain; no professional
audit yet), and how to build, test, and deploy it - including a test that
verifies a signature produced by real, running Python
(`guardian/onchain_attestation.py`) is accepted by the real Solidity
contract, not two implementations that only agree with themselves.
Roadmap
1. ~~Replace the mock wallet/token/contract analyzers with real data
sources.~~ Done - see Honesty about the current state
for what "real" does and doesn't cover yet per source.
2. ~~Wire up real pre-execution simulation.~~ Done for `transfer`/
`approve` end to end (`GUARDIAN_SIMULATION_PROVIDER=rpc` +
`GUARDIAN_TX_BUILDER=rpc` - see
Honesty about the current state).
~~`swap` needs real DEX routing.~~ Done against Uniswap V2 Router02 -
real on-chain `getAmountsOut()` quote, explicit caller-supplied
`max_slippage_bps` (never defaulted), no calldata built without a real
quote. Fixed a real bug found while building this: simulation was
dry-running against `intent.target` (the recipient/spender encoded
*inside* ERC-20 calldata) instead of the actual contract being called
(`from_token`) - meaning transfer/approve simulation silently
"succeeded" against any EOA recipient regardless of whether the real
call would have reverted. `BuiltTransaction` now carries an explicit
`to`; see `tests/test_tx_builder.py` for the regression tests that
would have caught it. ~~`bridge` still open.~~ Done for L1->L2
deposits to Base and Optimism via the official OP Stack
`L1StandardBridge` (`depositETHTo`/`depositERC20To`) - other
destinations, other bridge protocols, and L2->L1 withdrawals all
remain open; see
Honesty about the current state.
3. ~~Populate threat-intel / sanctions feeds; stop shipping empty
sets.~~ Done for sanctions (`sanctioned_addresses.json` - 103 real OFAC
SDN addresses, refreshable via `scripts/refresh_ofac_list.py`).
`malicious_contracts.json` / `verified_contracts.json` remain empty by
design - no single authoritative source exists to seed them the way
OFAC's list does for sanctions.
4. ~~Swap `InMemoryStorage` for a persistent backend.~~ `SQLiteStorage` is
available; ~~a Postgres/Redis backend is still open for multi-replica
deployments.~~ `PostgresStorage` done - tested against a real local
Postgres instance (`tests/test_postgres_storage.py`), same
two-method `MemoryBackend` interface as the other backends. Redis
remains open if specifically wanted.
5. ~~Add an MCP server wrapper.~~ Done (`mcp_server.py`). A packaged
Python/TypeScript SDK on top of the REST API is still open.
6. Publish an OpenAPI spec and a hosted demo endpoint.
7. Get the policy engine and risk fusion reviewed/audited before anyone
relies on a `BLOCK` from this service in production - it's a security
tool, so it needs the same scrutiny it applies to others.
8. ~~Add per-agent capability limits (delegation scoping).~~ Done -
`guardian/policy/capabilities.py`, and wired into
`DecisionEngine.evaluate()` via an optional `capability_registry`
constructor argument (previously it was a standalone module you had
to call yourself outside the normal pipeline - see
`examples/example_capability_limits.py`, which now runs through
`DecisionEngine` directly). Opt-in: pass no registry (the default)
and nothing changes; an operator can grant a specific agent a scoped
capability (allowed action types, allowed chains, per-action and
daily spending caps, an expiry) with zero private-key material
involved. Agents with no grant are unaffected. This module still
never touches private keys or session-key issuance itself - that
remains out of scope, a categorically higher-stakes problem. ~~Real
enforcement of a decision (vs. an agent choosing to respect it)
remains deliberately out of scope.~~ Partially done -
`onchain/`'s `GuardianValidator` is an ERC-7579 module
that makes a decision genuinely unbypassable for any ERC-4337 smart
account that installs it, without Guardian ever holding a key. It
does not manage session keys, custody, or account creation - it
only gates execution behind an attestation - so this is a real,
load-bearing piece of "account abstraction," not the whole of it.
9. ~~Verify declared intent against decoded simulation results.~~
Done - `guardian/decision/intent_verification.py` catches
the case where an agent declares one amount but the actual calldata
it was handed encodes a meaningfully different (but still finite)
one, and `DecisionEngine.evaluate()` now actually calls it (it
didn't before - the module and its example script existed, but
nothing in the real decision pipeline invoked it). ~~It's still not
a working guardrail on its own, though: comparing atomic units needs
the token's `decimals()`, and no decimals provider exists yet.~~
`GUARDIAN_DECIMALS_PROVIDER=rpc` (`RpcTokenDecimalsProvider`, see
`guardian/intelligence/token/decimals.py`) closes that: a real
`eth_call` to the token's own `decimals()`, cached forever per
(chain, token) since that value can never change once a contract is
deployed. Left at its `null` default, every `approve` with a
successful, finite-amount simulation still gets an honest "cannot
verify without decimals" WARN instead of either a false BLOCK or a
silent skip - configuring the real provider is what turns that into
an actual BLOCK on a genuine mismatch. See
`examples/example_intent_verification.py` for the check blocking a
real mismatch, and `tests/test_decision_engine.py`'s
`TestIntentVerificationWithRealDecimalsProvider` for the end-to-end
version wired through a real (mocked-RPC) decimals lookup rather
than a hand-supplied `token_decimals` argument.
10. ~~Flag actions that deviate from an agent's own historical
pattern.~~ Done - `guardian/intelligence/anomaly/analyzer.py`.
Distinct from reputation (a single trust score) and policy (static,
operator-set limits): this compares the current intent against
*this specific agent's* own recorded history - new action type,
new chain, or an amount that's a statistical outlier versus what
this agent has done before, even if it's within policy limits and
the agent's reputation is fine. Honestly reports "insufficient
history" rather than guessing a baseline from fewer than 5 prior
data points - see `tests/test_anomaly_detection.py`.
11. ~~Sit in front of a real agent wallet, not just accept intents
from a generic API caller.~~ Done for MetaMask Agent Wallet -
`skills/guardian-check/` is a standard Agent Skill an agent
installs alongside MetaMask's own `mm` skill; the agent calls it
before running any fund-moving `mm` command and only proceeds on
ALLOW. Tested end-to-end against a live `uvicorn` instance
(ALLOW/WARN/BLOCK/config-error all exercised for real, not just
asserted) - see the "Using Guardian in front of MetaMask Agent
Wallet" section above. No public hook exists (yet) to run inside
MetaMask's own pipeline; this works at the agent-orchestration
layer instead.
Related projects
Same author, same principle applied elsewhere:
a generic policy firewall for AI agent tool calls (not
blockchain-specific). Published on PyPI, MIT, 46 tests.
cryptographically signed (Ed25519), independently verifiable
attestations for agent-to-agent payment policy decisions. Early
proof of concept.
vendor-neutral open spec (JWT+EdDSA) for signing agent policy
decisions, verifiable by anyone. x402-attest above uses a custom
format; this is the generalized version. Draft v0.1.
License
MIT - see `LICENSE`.
Frequently asked questions
What is agentic-wallet-guardian-v3?
agentic-wallet-guardian-v3 is Agentic Wallet Guardian
How do I install agentic-wallet-guardian-v3?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is agentic-wallet-guardian-v3 open source?
Yes โ it is hosted on GitHub at https://github.com/rudimentall1/agentic-wallet-guardian-v3 and has 1 stars.
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