@agentproto/mastra

@agentproto/mastra

AIP-42 AGENT.md → Mastra runtime adapter. Reference implementation for the agent/v1 → live agent path against the Mastra framework.

pnpm add @agentproto/mastra @agentproto/agent @mastra/core

Why

@agentproto/agent parses an AGENT.md and gives you a typed AgentHandle. That's the spec layer. To actually run the agent, something has to translate ref strings (anthropic/claude-opus-4-7, @agentik/tools-standard/web-fetch, per-conversation memory scope) into runtime objects.

This package is that something for Mastra.

Usage

import { readFile } from "node:fs/promises"
import { parseAgentManifest, agentFromManifest } from "@agentproto/agent"
import { buildMastraAgent } from "@agentproto/mastra"
import { openai } from "@ai-sdk/openai"
import { anthropic } from "@ai-sdk/anthropic"
import { Memory } from "@mastra/memory"
import { weatherTool } from "./tools/weather"

const source = await readFile("./.agents/writer/AGENT.md", "utf8")
const parsed = parseAgentManifest(source)
const handle = agentFromManifest(parsed)

const { agent, resolvedTools, droppedTools, instructions } =
  await buildMastraAgent(handle, {
    body: parsed.body,
    resolveModel: (ref) => {
      const id = typeof ref === "string" ? ref : (ref.ref ?? "")
      const [provider, model] = id.split("/", 2)
      if (provider === "anthropic") return anthropic(model!)
      if (provider === "openai") return openai(model!)
      throw new Error(`unknown model provider: ${provider}`)
    },
    resolveTool: (ref) => {
      const id = typeof ref === "string" ? ref : (ref.ref ?? "")
      if (id === "weather") return { name: "weather", tool: weatherTool }
      return undefined // dropped with a warning
    },
    buildMemory: (cfg) => new Memory({ /* translate cfg fields */ }),
  })

console.log(`built agent '${agent.name}' with ${resolvedTools.length} tools`)
const reply = await agent.generate("draft a 200-word brief on…")

Resolvers

The package never bundles a model provider, tool catalog, or memory backend. You provide:

Option	Required	Purpose
resolveModel(ref)	yes	Translate model: → AI-SDK LanguageModel
resolveTool(ref)	no	Translate tools[] → Mastra tools
resolveWorkflow(ref)	no	Validate workflows[] exist (not attached to agent)
buildMemory(cfg)	no	Build a Mastra Memory from memory:
buildVoice(handle)	no	Build a voice provider (ElevenLabs, etc.)
formatInstructions	no	Override how body + boundaries become a system prompt
body	no	The markdown body (everything after frontmatter)
strict	no	Throw on unresolved tools instead of warn-and-drop

Default instructions composer

composeInstructions(handle, body) produces:

{body or description}

{persona inline block if present}

Hard rules — these MUST be followed:
- {boundary 1}
- {boundary 2}

Trait scores (0-10): rigor=9, warmth=4.

Override with formatInstructions: (handle, body) => string if your host has its own prompt assembly (e.g. multi-agent council headers, per-tenant pre-amble, i18n).

Diagnostics

buildMastraAgent returns the live Agent plus:

• resolvedTools: string[] — names that wired in
• droppedTools: string[] — refs the resolver returned undefined for
• resolvedWorkflows: string[] / droppedWorkflows: string[]
• instructions: string — the final composed prompt

Useful for diagnostics UIs (which tools were declared on the manifest but missing from the host's catalog?) and tests.

License

MIT.