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GitHub - AIXP-Labs/AISOP: AISOP — AI Standard Operating Protocol
aisop · 2026-06-05 · via Hacker News - Newest: "AI"

中文版 README

Apache 2.0 License

An open protocol for defining structured AI programs using Mermaid or JSON flow graphs.

AISOP enables defining multi-step AI programs with visual (Mermaid) or structural (JSON) control flow — branching, parallel execution, sub-tasks, and error handling — all in a single portable JSON format.

Why AISOP?

Approach Definition Portable Machine-readable Token-efficient
Natural language prompts Free text Yes No No
Python / YAML workflows Code / config No Partially No
Visual builders (Dify, etc.) Proprietary No No No
AISOP Mermaid + JSON Yes Yes Yes

AISOP files are plain JSON with flow graphs (Mermaid or JSON) — readable by any language, editable in any editor, versionable in git, and optimized for LLM comprehension.

File Format

[
  { "role": "system", "content": { "protocol": "AISOP V1.0.0", ... } },
  { "role": "user",   "content": { "instruction": "...", "aisop": { ... }, "functions": { ... } } }
]
Element Purpose
system Program metadata (identity, version, description)
user Instruction, flow graph, and function definitions

Quick Example

[
  {
    "role": "system",
    "content": {
      "protocol": "AISOP V1.0.0",
      "axiom_0": "Human_Sovereignty_and_Wellbeing",
      "id": "greeting_assistant",
      "name": "Greeting Assistant",
      "version": "1.0.0",
      "summary": "Classify user intent and respond",
      "flow_format": "mermaid"
    }
  },
  {
    "role": "user",
    "content": {
      "instruction": "RUN aisop.main",
      "user_input": "{user_input}",
      "aisop": {
        "main": "graph TD\n    greet[Greet] --> classify{Classify}\n    classify -->|question| search[Search]\n    classify -->|chat| reply[Reply]\n    search --> end_node((End))\n    reply --> end_node"
      },
      "functions": {
        "greet":    { "step1": "Say hello to the user" },
        "classify": { "step1": "Classify user intent as 'question' or 'chat'" },
        "search":   { "step1": "Search for relevant info" },
        "reply":    { "step1": "Generate a friendly reply" },
        "end_node": { "step1": "Output final response" }
      }
    }
  }
]

The flow graph (Mermaid format):

graph TD
    greet[Greet] --> classify{Classify}
    classify -->|question| search[Search]
    classify -->|chat| reply[Reply]
    search --> end_node((End))
    reply --> end_node
Loading

Key Features

  • Dual Flow Format — Mermaid string (AI-native) or JSON flow object (code-native), mixable in the same program
  • 14+ Control Flow Patterns — sequential, decision, parallel fork/join, delegate, loop, convergence, error routing, batch iterate, retry, data isolation, step-level sub-task, agent dispatch, HITL confirmation, runtime assertion
  • Three-Layer Separation — metadata, flow graph, function definitions
  • Topology / Behavior Split — flow graph defines connections, functions define runtime behavior
  • Sub-task Supportmain + named sub-tasks via delegate nodes or step-level RUN aisop.<sub>
  • Reserved Keys — 8 runtime behavior keys in functions (join, map, on_error, retry_policy, context_filter, output_mapping, constraints, execute_mode)
  • sys.* System Calls — 24 protocol-reserved system calls for human confirmation (🔒 inviolable sys.io.confirm), I/O, assertions, model invocation, code execution, and state management (see §6)
  • Error Handling — Mermaid -.-> error edge + function-level on_error type routing + 6 sys.* error types
  • Variable Substitution{system_prompt}, {user_input} replaced at runtime
  • Token Efficient — Mermaid uses ~50% fewer tokens than JSON flow format
  • Zero Dependencies — Reference implementations in Python and JavaScript, stdlib only
  • AI-Agnostic — Works with any AI runtime

Flow Formats

AISOP supports two flow graph formats. Both can coexist in the same program.

Mermaid (string)

Shape Syntax Meaning
Rectangle name[text] Process — execute and proceed
Diamond name{text} Decision — conditional branching
Circle name((text)) End — terminate task
Rectangle name[aisop.sub] Delegate — call sub-task
Edge Syntax Meaning
Solid arrow --> Normal flow (next)
Labeled arrow -->|label| Branch (conditional)
Dashed arrow -.-> Error routing

JSON Flow (object)

Field Type Meaning
next string[] Next node(s). 1 = sequential, 2+ = parallel fork
branches object Conditional branching: {label: target}
error string Error handler node
delegate_to string Call a sub-task by name
wait_for string[] Wait for nodes before proceeding (join)
{} End — terminate task

Control Flow Patterns

Pattern Mermaid (§4.2) JSON Flow (§4.3) Functions (§5) / sys (§6)
Sequential A --> B "next": ["B"]
If/else A -->|yes| B, A -->|no| C "branches": {"yes": "B", "no": "C"}
Switch (N-way) A -->|label| B, ... "branches": {"label": "B", ...}
Parallel fork A --> B, A --> C "next": ["B", "C"]
Parallel join B --> D, C --> D "wait_for": ["B", "C"] "join": {"merge_strategy": "array"}
Loop Branch target → earlier node Branch target → earlier node
Sub-task A[aisop.sub] "delegate_to": "sub"
Convergence Multiple → same target Multiple → same target
Error routing A -.-> E "error": "E" "on_error": {"timeout": "t"}
Batch iterate "map": {"items_path": "..."}
Retry "retry_policy": {"max_attempts": 3}
Data isolation "context_filter": {"include": [...]}
Step-level sub step text: RUN aisop.sub
Agent dispatch "execute_mode": "agent"
HITL confirmation sys.io.confirm('...') (§6.2)
Runtime assertion sys.assert('...', '...') (§6.5)
Background job sys.run.bg('...') (§6.4)

Getting Started

Python:

cd reference/python
python run.py example.aisop.json
python test_all.py

JavaScript:

cd reference/javascript
node run.js example.aisop.json
node test_all.js

Project Structure

AISOP-Protocol/
  specification/
    aisop-spec.md              # Protocol specification (V1.0.0)
    aisop-spec_CN.md           # Protocol specification — Chinese
  reference/
    python/
      flow_runtime.py                # Python reference implementation
      example.aisop.json             # Example flow definition
      example_syscalls.aisop.json    # Advanced example with sys.* calls
      test_all.py                    # Test suite (44 tests)
      run.py                         # CLI tool
      pyproject.toml                 # Python package metadata
      LICENSE                        # Apache 2.0 license (per-package)
      NOTICE                         # Apache 2.0 attribution notice (per-package)
      README.md                      # Implementation guide
    javascript/
      flow_runtime.js                # JavaScript reference implementation
      example.aisop.json             # Example flow definition
      example_syscalls.aisop.json    # Advanced example with sys.* calls
      test_all.js                    # Test suite (44 tests)
      run.js                         # CLI tool
      package.json                   # npm package metadata
      LICENSE                        # Apache 2.0 license (per-package)
      NOTICE                         # Apache 2.0 attribution notice (per-package)
      README.md                      # Implementation guide
  docs/
    index.md                                  # Documentation site home
    topics/
      what-is-aisop.md                        # Introduction and rationale
      comparison-mermaid-vs-jsonflow.md       # Mermaid vs JSON Flow comparison
      comparison-mermaid-vs-jsonflow_CN.md    # Comparison — Chinese
      performance-mermaid-vs-jsonflow.md      # Performance analysis
      performance-mermaid-vs-jsonflow_CN.md   # Performance analysis — Chinese
    adrs/
      adr-001-mermaid-as-primary-format.md    # ADR mirror (mkdocs site)
      adr-002-sys-io-confirm-immutability.md  # ADR mirror (mkdocs site)
  adrs/
    adr-template.md                # ADR template
    adr-001-mermaid-as-primary-format.md       # Format choice rationale
    adr-002-sys-io-confirm-immutability.md     # Axiom 0 enforcement decision
  README.md
  README_CN.md
  CONTRIBUTING.md                # Contribution guidelines
  CONTRIBUTING_CN.md             # 贡献指南
  CODE_OF_CONDUCT.md             # Community standards (Axiom 0 pledge)
  GOVERNANCE.md                  # Tripartite Chain governance model
  SECURITY.md                    # Vulnerability reporting policy
  LICENSE                        # Apache 2.0 license
  NOTICE                         # Apache 2.0 attribution notice
  CHANGELOG.md                   # Release notes
  mkdocs.yml                     # MkDocs documentation site config

AIXP Labs aixp.dev

AIXP Labs develops and maintains the following core projects:

Project Description Website
HSAW Human Sovereignty and Wellbeing — Axiom 0 white paper (foundation) hsaw.dev
AILP AI List Protocol — agent discovery and capability advertising ailp.dev
AIVP AI Value Protocol — international commerce, crypto asset settlement aivp.dev
AIRP AI RMB Protocol — Mainland China commerce, RMB licensed settlement airp.dev
AIBP AI Bot Protocol — social communication and trust aibp.dev
AIAP AI Application Protocol — governance and compliance aiap.dev
AISOP AI Standard Operating Protocol — flow program definition (this project) aisop.dev
SoulBot AI agent runtime and framework soulbot.dev
SoulACP Adapter library — bridging CLI tools and LLM providers soulacp.dev

Axiom

AISOP is grounded in Axiom 0: Human Sovereignty and Wellbeing — AI systems exist to serve humanity, not replace or dominate it. All implementations must enforce this axiom at the highest execution priority. See §0 of the specification for the full text.

Contributing

See CONTRIBUTING.md for guidelines / 见 CONTRIBUTING_CN.md 了解贡献指南。

Community & Governance

⚠️ Disclaimer

This protocol specification and the reference implementations are provided for research and educational purposes only. They are experimental and not intended for production use. Use at your own risk. The authors assume no liability for any damages arising from use of this software. See LICENSE for full terms (Apache 2.0).

License

Apache License 2.0 - Copyright 2026 AIXP Labs AIXP.dev | AISOP.dev


Align Axiom 0: Human Sovereignty and Wellbeing. Version: AISOP V1.0.0. www.aisop.dev