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Wasmagent Js

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WasmAgent MCP server β€” WASM-sandboxed code execution with capability manifests and Tasks API.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mcp-server-163": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-163"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

wasmagent-js

npm version License: Apache-2.0 CI Quick Start Docs

WasmAgent adds a verifiable evidence layer to agent tool use: protect tool calls, record what happened, audit the result, and admit trusted traces into downstream systems.

Protect β†’ Record β†’ Audit β†’ Admit Β· Sync β€” agent↔UI shared state


Start in 30 seconds

Pick your entry point:

GoalInstall
Protect tools β€” runtime firewall, policy enforcement, taint trackingnpm add @wasmagent/mcp-firewall
Record evidence β€” signed AEP records after every agent runnpm add @wasmagent/aep
Admit from traces β€” compliance scoring produces ComplianceEvalRecords for downstream trainingnpm add @wasmagent/aep @wasmagent/compliance
Sync state β€” reducer-backed agent↔UI shared state, agent reads projections + writes intentnpm add @wasmagent/core (/shared-state subpath)

Trust Pack β€” 30-minute end-to-end: docs/quickstarts/trust-pack-30min.md


Quickstart

Three paths β€” pick the one that fits your use case:

Path 1 β€” Protect: MCP runtime firewall

Wrap any MCP server: vet tools before execution, enforce policy per call, track taint across results.

Terminal
npm install @wasmagent/mcp-firewall
server.ts
import { evaluatePolicy, snapshotTool, taintObservation, vetTool } from "@wasmagent/mcp-firewall";

const entry = {
  name: "read_file",
  description: "Read a file from disk",
  inputSchema: { type: "object", properties: { path: { type: "string" } } },
};
const args = { path: "/tmp/report.txt" };
const consentRecords = [];

// Before calling a tool
const snap     = snapshotTool(entry, "my-server");   // hash descriptor at registration
const vetting  = vetTool(entry);                     // static scan: injection / exfil / rug-pull
const decision = evaluatePolicy(entry.name, args, vetting, consentRecords);

if (decision.decision === "deny")   throw new Error(`Blocked: ${decision.reasons.join("; ")}`);
if (decision.decision === "ask_user") {
  // surface consent UI, then call recordConsent(...)
}

// After receiving result
const rawResult = "example report contents";
const obs = taintObservation(entry.name, rawResult);  // boundary-tagged, safe to assemble into prompt

β†’ Security pack Β· OWASP Agentic Top 10 Β· Attack demos

Path 2 β€” Record: AEP evidence export

Emit a signed evidence record after every agent run β€” consumable by trace-pipeline for audit and training.

Terminal
npm install @wasmagent/aep
server.ts
import { AEPEmitter } from "@wasmagent/aep";

const emitter = new AEPEmitter({ run_id: "run-001", model_id: "claude-sonnet-4-6" });

// During the run β€” add tool call evidence
emitter.addAction({ tool_name: "bash", outcome: "pass", exit_code: 0 });

// At the end β€” emit the record
const record = emitter.build();
// record satisfies aep/v0.1 JSON Schema β€” ready for evomerge validate-aep

β†’ AEP schema Β· trace-pipeline 10-min tutorial

Path 3 β€” Execute: Sandboxed code execution

Run agent-generated code in an isolated WASM kernel β€” no host-process access.

Terminal
npm install @wasmagent/aisdk @wasmagent/kernel-quickjs
server.ts
import { sandboxedJsTool } from "@wasmagent/aisdk";
import { QuickJSKernel } from "@wasmagent/kernel-quickjs";

// Drop into any AI SDK / LangChain / OpenAI Agents setup
const codeTool = sandboxedJsTool({ kernel: new QuickJSKernel() });

β†’ Kernel comparison Β· Getting started

Path 4 β€” Sync: Human-agent shared state

Reducer-backed collaborative state where the LLM reads projections, dispatches semantic actions, and respects affordances β€” all through standard tools.

Terminal
npm install @wasmagent/core
server.ts
import { defineStateModel, SharedStateStore, stateTools } from "@wasmagent/core/shared-state";

// 1. One reducer, shared by both UI and agent.
const model = defineStateModel({
  initial: () => ({ page: "list", selectedId: null as string | null }),
  reduce: (s, a) => {
    if (a.type === "SELECT") return { ...s, page: "detail", selectedId: a.id };
    if (a.type === "BACK")   return { ...s, page: "list", selectedId: null };
    return s;
  },
  project: (s) => ({ page: s.page, selectedId: s.selectedId }),
  affordances: (s) => s.page === "list" ? ["SELECT"] : ["BACK"],
});

// 2. Server-side store keyed by session.
const store = new SharedStateStore(model);

// 3. Give the agent read_state + dispatch_action tools.
const tools = stateTools(store, "session-001");
// Pass `tools` to any ToolCallingAgent β€” the LLM reads state and dispatches intent.

The semantic action stream doubles as AEP evidence β€” every dispatch is a provenance-ready record (see #141 for the full confluence design).


πŸ“š Docs Β· Getting started Β· Kernels Β· OWASP governance Β· Security pack Β· Changelog


What is shipped vs alpha

WasmAgent uses a five-tier maturity scale to prevent "shipped" from becoming a vague claim:

TierMeaningSemver guaranteeProduction use
stablePublic API locked; breaking changes require major-version bumpYesYes
betaFunctional and used in production, but a specific limitation is documented (e.g. first-line filter only, contract still evolving)Minor/patch onlyYes, with caveats documented
alphaSchema versioned; fields may be added without a breaking-change bumpNoInformed use
demoDemonstration or example code; not hardened for productionNoNo
researchResearch-grade prototype; interfaces may change without noticeNoNo

Packages not listed here (model adapters, UI cards, etc.) follow the same scale β€” see each package's README or package.json wasmagent.stability field.


Package maturity

PackageMaturityNotes
@wasmagent/corestablePublic API; semver guaranteed
@wasmagent/kernel-quickjsstable
@wasmagent/kernel-remotestable
@wasmagent/mcp-gatewaystablePublished 0.1.0; gateway composes all firewall layers
@wasmagent/mcp-firewallbetaFirst-line filter, not adversarial-grade β€” keyword bag + lightweight n-gram classifier; use defence-in-depth
@wasmagent/aepbetav0.2 signature contract (Ed25519) shipped; schema versioned
@wasmagent/otel-exporteralphaGENAI_SEMCONV, AEP↔OTel bridge
@wasmagent/aisdk / @wasmagent/mastra-sandboxalphaAPI stable, may add fields
@wasmagent/compliancealphaSchema versioned; may add fields without breaking
@wasmagent/mcp-policyalpha β€” privateNot yet published to npm
@wasmagent/mcp-attestationalpha β€” privateNot yet published to npm
@wasmagent/evals-runneralpha
@wasmagent/devtoolsalpha

WasmAgent Ecosystem

WasmAgent is a portable, governable agent runtime for safe code execution, verifiable rollouts, and post-training data loops.

RepoRole
wasmagent-js (this repo)Embedded Agent Runtime / WASM Kernel / policy / verifier / adapters
bscodeCloudflare flagship demo and deploy template for safe coding agents
trace-pipelinePublic datafactory and eval-trust backend for rollout data
text
Task β†’ Safe Runtime β†’ Verifiable Rollout β†’ Trajectory Export β†’ DPO/PPO Data β†’ Better Models

What makes wasmagent different

Three wedges where wasmagent stands apart from generic agent frameworks:

WedgeWhat it means
Sandboxed executionThree isolation tiers β€” VmKernel / WASM (QuickJSΒ·PyodideΒ·Wasmtime) / microVM β€” with a single CapabilityManifest and MCP runtime firewall across all
Runtime complianceTaskSpec β†’ ConstraintIR β†’ ComplianceEvalRecord β€” every run produces an auditable, cross-repo training contract, not just a log
Trace-to-training contractVerifiable rollout branching, objective scoring, DPO/PPO export β€” the loop from runtime evidence to training data is first-class, not an afterthought
Full feature axis table (10 axes vs. other JS agent frameworks)

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Wasmagent Js

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "wasmagent-js": { "command": "npx", "args": ["-y", "WasmAgent/wasmagent-js"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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