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[ARTICLE Β· art-158530] src=autonomous-lifecycle-protocol-alp.github.io β†— pub= topic=ai-agents verified=true sentiment=↑ positive

The Autonomous Lifecycle Protocol

The Autonomous Lifecycle Protocol (ALP) launched as an open standard and execution engine that stores a machine-readable project specification in a repository's `.alp/` directory, replacing scattered README.md, PRD.md, AGENTS.md and TASKS.md files for AI coding agents such as Devin, Claude Code, Cursor and OpenHands. ALP's `alp run` engine topologically sorts the dependency graph in under 2ms and compiles context bundles for agents, while `alp verify` runs quality gates such as `npm run test:login` and marks tasks done or blocked. The project ships TypeScript and Python SDKs with 1:1 parity, Go, Rust and Java SDKs with core parsing and graph APIs, real-time MCP integration for Claude Desktop and Cursor, and a skill registry with cost tracking at version 38.0.0.

read4 min views1 publishedOct 27, 2026

Execution Engine (alp run) #

Topologically sorts your dependency graph in < 2ms, compiles precise context bundles, and orchestrates agents through the full lifecycle.

The open standard & high-performance execution engine for AI-driven software engineering. Write a machine-readable spec β€” let your agents plan, build, verify, and remember.

Git standardized version control. Docker standardized environments. OpenAPI standardized APIs. ALP standardizes how AI builds software.

Today every AI coding assistant (Devin, Claude Code, Cursor, OpenHands) relies on unstructured prompts and brittle context-scraping. They forget decisions, overwrite each other's work, and lose track of dependencies. ALP replaces scattered README.md, PRD.md, AGENTS.md, and TASKS.md files with one deterministic protocol stored natively in your repository (.alp/).

ALP turns your repository into a deterministic, machine-readable project specification that any AI agent can read, understand, and act on.

flowchart LR
    ALP[.alp/ Files] --> Parser[ALP Parser]
    Parser --> Graph[Dependency Graph]
    Graph --> Engine[Execution Engine]
    Engine --> Agent[AI Agent]
    Agent --> Task[Task Execution]
    Task --> Verify[Quality Gates]
    Verify --> State[Project State]

.alp/ files using the ALP protocol Create a .alp file in your repository:

!alp-version: 80.0.0

@project
  id: my-project
  name: My Project
  version: 1.0.0
  state: active

@feature
  id: feat-auth
  name: Authentication
  description: OAuth2 + JWT authentication flow

@task
  id: task-login-ui
  name: Build login UI
  status: [ ]
  depends_on:
    - task-setup-db
  verify:
    - npm run test:login
    - npm run lint:login

@agent
  id: agent-frontend
  name: Frontend Specialist
  capabilities: [react, typescript, tailwind]

Then run:

alp validate

alp run

alp verify task-login-ui

ALP parses your workspace into a Directed Acyclic Graph (DAG). Agents only receive the exact context they need, exactly when they need it.

graph TD
    subgraph Repository [Your Repository .alp/]
        D[Decision: Use PostgreSQL] --> T1[Task: Setup DB Schema]
        T1 --> T2[Task: Build REST API]
        R[Rule: No Raw SQL] --> T2
        C[Contract: @contract c-api] --> T2
    end

    subgraph ExecutionEngine [Execution Engine - alp run]
        T2 -->|Context Bundle - 1.8ms| Agent[Claude / Cursor Agent]
    end

    subgraph QualityGates [Quality Gates - alp verify]
        Agent -->|npm test| V{Tests Pass?}
        V -->|Exit 0| X[Mark x Done]
        V -->|Non-Zero| B[Mark ! Blocked]
    end
flowchart LR
    subgraph SwarmNodes [Autonomous Swarm Nodes]
        A1[Agent Alpha\nCoder] <--> EM((Event Mesh\nPub/Sub))
        A2[Agent Beta\nReviewer] <--> EM
        A3[Agent Gamma\nTester] <--> EM
    end

    subgraph Marketplace [Swarm Marketplace]
        EM <--> SWM[Skill Registry\n@swarm_marketplace]
        SWM -->|Discover & Invoke| Cost[Cost & Metering Engine]
    end

Terminal CLI interface: run, marketplace, event-mesh, policy, vault, verify.

Parses .alp files and computes Kahn topological sorts over the dependency graph in sub-2ms.

Real-time MCP integration for Claude Desktop, Cursor, and any compliant client.

Language Server with IntelliSense, go-to-definition, and rich hover metadata.

Official TypeScript and Python SDKs with complete 1:1 implementation parity.

Official Go, Rust, and Java SDKs with core parsing, graph, and workspace APIs.

Autonomous skill registry, provider discovery, invocation, and cost tracking (v38.0.0).

The unified ALP desktop IDE (Mac/Windows/Linux). Faster, more secure, and error-free vs. fragmented multi-IDE setups. Native @autonomous-lifecycle-protocol-alp/parser, Monaco editor, agent manager, IDE Intelligence with AI suggestions/predictions/review, and Autonomous Orchestration with self-healing DAGs.

npm install -g @autonomous-lifecycle-protocol-alp/cli
alp init

This creates a .alp/ directory with a starter project.alp file.

Create .alp/features.alp:

!alp-version: 80.0.0

@feature
  id: feat-auth
  name: User Authentication
  description: OAuth2 + JWT authentication flow

@task
  id: task-login-ui
  name: Build login UI
  status: [ ]
  depends_on:
    - task-setup-db
  verify:
    - npm run test:login
    - npm run lint:login
alp validate

alp run

alp verify task-login-ui

Released versions are tracked in the versioning spec. This section captures active and planned focus areas.

Era Versions Focus
V8 β€” The Cognitive Era 12.0.0–12.x AI-native planning & reasoning: GoalDecomposer, Planner, Reflector, memory-augmented inference
V9 β€” The Collaborative Era 13.0.0–13.x Multi-agent negotiation, contracts-as-protocol, reputation & trust scoring, composable agent teams
V10 β€” The Verifiable Era 14.0.0–14.x End-to-end provenance, signed execution traces, zero-knowledge policy proofs, tamper-evident audit ledger
V11 β€” The Ambient Era 15.0.0–15.x Fully autonomous long-running swarms, safe self-modifying workflows, edge-native runtime, live upgrade & migration
V12 β€” The Sentinel Era 16.0.0–16.x Immutable execution traces, self-healing workflows, predictive governance, swarm resilience, cost optimization
V13 β€” The Universal Era 17.0.0–17.x Cross-protocol interoperability (OpenAPI, GraphQL, gRPC, AsyncAPI), universal adapters, bidirectional sync

V9 β€” Native Desktop (v80.0.0) β€” SHAM IDE cross-platform release with native ALP integration, Monaco editor, agent manager, auto-updater, and Pro/Enterprise licensing.

V10 β€” The Intelligence Era (v80.0.0) β€” Autonomous multi-agent orchestration with self-healing DAGs, predictive governance, edge-native execution, and AI-native lifecycle management.

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