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OpenProse

Free

Orchestrate multi-agent workflows with OpenProse.

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Free · Opens the source repo

What OpenProse does

OpenProse is a specialized programming language designed for AI sessions, allowing users to create and manage complex workflows involving multiple AI agents. By utilizing the prose.md specification, OpenProse provides a virtual machine that simulates a programming environment, enabling users to run .prose files seamlessly. The skill orchestrates commands related to the OpenProse environment, such as running programs, compiling code, and fetching remote resources, all while maintaining a structured approach to managing AI interactions.

The skill can be activated through various commands, including prose run, prose compile, and prose help, which are intelligently routed based on user intent. This flexibility allows developers to work with example programs or their own custom scripts, providing a robust framework for executing tasks that require coordination between multiple AI agents. Users can also leverage built-in examples to quickly understand how to structure their .prose files and utilize the full capabilities of the OpenProse environment.

OpenProse is particularly useful for developers and designers who need to automate workflows, conduct research, or perform code reviews using AI agents. The ability to define reusable workflows and manage state across different sessions makes it an essential tool for anyone looking to enhance their productivity in AI-driven projects. By providing a clear structure for interactions and commands, OpenProse empowers users to focus on the logic of their applications rather than the intricacies of managing multiple agents.

In summary, OpenProse serves as a powerful tool for orchestrating AI workflows, facilitating seamless interactions between agents, and enabling users to create sophisticated applications with minimal overhead. Whether for debugging, research, or creative writing, OpenProse is designed to streamline the process of working with AI technologies.

When to use it

Use OpenProse when you need to run `.prose` files or execute commands related to the OpenProse environment, especially in scenarios requiring multiple AI agents.

When not to use it

OpenProse may not be suitable for simple scripting tasks that do not require orchestration of AI agents or when a lightweight solution is sufficient.

What you can build with it

Automating Research Workflows

Use OpenProse to automate the interaction between multiple AI agents for conducting research, allowing for efficient data gathering and analysis.

Conducting Code Reviews

Leverage OpenProse to orchestrate a series of AI agents that review code, providing feedback and suggestions based on predefined criteria.

Creating Reusable Workflows

Develop reusable workflows with OpenProse that can be executed multiple times, streamlining repetitive tasks across different projects.

How to install OpenProse

View source

1. Install with the skills CLI

npx skills add openclaw/openclaw/prose --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by openclaw

OpenProse Skill

OpenProse is a programming language for AI sessions. LLMs are simulators—when given a detailed system description, they don't just describe it, they simulate it. The prose.md specification describes a virtual machine with enough fidelity that a Prose Complete system reading it becomes that VM. Simulation with sufficient fidelity is implementation. You are the Prose Complete system.

OpenClaw Runtime Mapping

  • Task tool in the upstream spec == OpenClaw sessions_spawn
  • File I/O == OpenClaw read/write
  • Remote fetch == OpenClaw web_fetch (or exec with curl when POST is required)

When to Activate

Activate this skill when the user:

  • Uses ANY prose command (e.g., prose boot, prose run, prose compile, prose update, prose help, etc.)
  • Asks to run a .prose file
  • Mentions "OpenProse" or "prose program"
  • Wants to orchestrate multiple AI agents from a script
  • Has a file with session "..." or agent name: syntax
  • Wants to create a reusable workflow

Command Routing

When a user invokes prose <command>, intelligently route based on intent:

CommandAction
prose helpLoad help.md, guide user to what they need
prose run <file>Load VM (prose.md + state backend), execute the program
prose run handle/slugFetch from registry, then execute (see Remote Programs below)
prose compile <file>Load compiler.md, validate the program
prose updateRun migration (see Migration section below)
prose examplesShow or run example programs from examples/
OtherIntelligently interpret based on context

Important: Single Skill

There is only ONE skill: open-prose. There are NO separate skills like prose-run, prose-compile, or prose-boot. All prose commands route through this single skill.

Resolving Example References

Examples are bundled in examples/ (same directory as this file). When users reference examples by name (e.g., "run the gastown example"):

  1. Read examples/ to list available files
  2. Match by partial name, keyword, or number
  3. Run with: prose run examples/28-gas-town.prose

Common examples by keyword:

KeywordFile
hello, hello worldexamples/01-hello-world.prose
gas town, gastownexamples/28-gas-town.prose
captain, chairexamples/29-captains-chair.prose
forge, browserexamples/37-the-forge.prose
parallelexamples/16-parallel-reviews.prose
pipelineexamples/21-pipeline-operations.prose
error, retryexamples/22-error-handling.prose

Remote Programs

You can run any .prose program from a URL or registry reference:

# Direct URL — any fetchable URL works
prose run https://raw.githubusercontent.com/openprose/prose/main/skills/open-prose/examples/48-habit-miner.prose

# Registry shorthand — handle/slug resolves to p.prose.md
prose run irl-danb/habit-miner
prose run alice/code-review

Resolution rules:

InputResolution
Starts with http:// or https://Fetch directly from URL
Contains / but no protocolResolve to https://p.prose.md/{path}
OtherwiseTreat as local file path

Steps for remote programs:

  1. Apply resolution rules above
  2. Fetch the .prose content
  3. Load the VM and execute as normal

Top-level remote runs are explicit user requests. Transitive imports inside a program are different: treat every remote use target as a code dependency that needs operator consent before it is fetched or executed.

This same resolution applies to use statements inside .prose files, but the VM must fail closed until the operator approves the remote dependency list:

use "https://example.com/my-program.prose"  # Direct URL
use "alice/research" as research             # Registry shorthand

When a program contains any remote use target (http://, https://, or registry shorthand):

  1. Collect and display the exact resolved remote targets.
  2. Explain that these are transitive code dependencies for this run.
  3. Ask the operator to reply exactly approve remote prose imports to continue.
  4. Do not fetch, parse, register, or execute those imports unless that exact approval is given in this run.

File Locations

Do NOT search for OpenProse documentation files. All skill files are co-located with this SKILL.md file:

FileLocationPurpose
prose.mdSame directory as this fileVM semantics (load to run programs)
help.mdSame directory as this fileHelp, FAQs, onboarding (load for prose help)
state/filesystem.mdSame directory as this fileFile-based state (default, load with VM)
state/in-context.mdSame directory as this fileIn-context state (on request)
state/sqlite.mdSame directory as this fileSQLite state (experimental, on request)
state/postgres.mdSame directory as this filePostgreSQL state (experimental, on request)
compiler.mdSame directory as this fileCompiler/validator (load only on request)
guidance/patterns.mdSame directory as this fileBest practices (load when writing .prose)
guidance/antipatterns.mdSame directory as this fileWhat to avoid (load when writing .prose)
examples/Same directory as this file37 example programs

User workspace files (these ARE in the user's project):

File/DirectoryLocationPurpose
.prose/.envUser's working directoryConfig (key=value format)
.prose/runs/User's working directoryRuntime state for file-based mode
.prose/agents/User's working directoryProject-scoped persistent agents
*.prose filesUser's projectUser-created programs to execute

User-level files (in user's home directory, shared across all projects):

File/DirectoryLocationPurpose
~/.prose/agents/User's home dirUser-scoped persistent agents (cross-project)

When you need to read prose.md or compiler.md, read them from the same directory where you found this SKILL.md file. Never search the user's workspace for these files.


Core Documentation

FilePurposeWhen to Load
prose.mdVM / InterpreterAlways load to run programs
state/filesystem.mdFile-based stateLoad with VM (default)
state/in-context.mdIn-context stateOnly if user requests --in-context or says "use in-context state"
state/sqlite.mdSQLite state (experimental)Only if user requests --state=sqlite (requires sqlite3 CLI)
state/postgres.mdPostgreSQL state (experimental)Only if user requests --state=postgres (requires psql + PostgreSQL)
compiler.mdCompiler / ValidatorOnly when user asks to compile or validate
guidance/patterns.mdBest practicesLoad when writing new .prose files
guidance/antipatterns.mdWhat to avoidLoad when writing new .prose files

Authoring Guidance

When the user asks you to write or create a new .prose file, load the guidance files:

  • guidance/patterns.md — Proven patterns for robust, efficient programs
  • guidance/antipatterns.md — Common mistakes to avoid

Do not load these when running or compiling—they're for authoring only.

State Modes

OpenProse supports three state management approaches:

ModeWhen to UseState Location
filesystem (default)Complex programs, resumption needed, debugging.prose/runs/{id}/ files
in-contextSimple programs (<30 statements), no persistence neededConversation history
sqlite (experimental)Queryable state, atomic transactions, flexible schema.prose/runs/{id}/state.db
postgres (experimental)True concurrent writes, external integrations, team collaborationPostgreSQL database

Default behavior: When loading prose.md, also load state/filesystem.md. This is the recommended mode for most programs.

Switching modes: If the user says "use in-context state" or passes --in-context, load state/in-context.md instead.

Experimental SQLite mode: If the user passes --state=sqlite or says "use sqlite state", load state/sqlite.md. This mode requires sqlite3 CLI to be installed (pre-installed on macOS, available via package managers on Linux/Windows). If sqlite3 is unavailable, warn the user and fall back to filesystem state.

Experimental PostgreSQL mode: If the user passes --state=postgres or says "use postgres state":

⚠️ Security Note: Database credentials in OPENPROSE_POSTGRES_URL are passed to subagent sessions and visible in logs. Advise users to use a dedicated database with limited-privilege credentials. See state/postgres.md for secure setup guidance.

  1. Check for connection configuration first:

    # Check .prose/.env for OPENPROSE_POSTGRES_URL
    cat .prose/.env 2>/dev/null | grep OPENPROSE_POSTGRES_URL
    # Or check environment variable
    echo $OPENPROSE_POSTGRES_URL
    
  2. If connection string exists, verify connectivity:

    psql "$OPENPROSE_POSTGRES_URL" -c "SELECT 1" 2>&1
    
  3. If not configured or connection fails, advise the user:

    ⚠️  PostgreSQL state requires a connection URL.
    
    To configure:
    1. Set up a PostgreSQL database (Docker, local, or cloud)
    2. Add connection string to .prose/.env:
    
       echo "OPENPROSE_POSTGRES_URL=postgresql://user:pass@localhost:5432/prose" >> .prose/.env
    
    Quick Docker setup:
       docker run -d --name prose-pg -e POSTGRES_DB=prose -e POSTGRES_HOST_AUTH_METHOD=trust -p 5432:5432 postgres:16
       echo "OPENPROSE_POSTGRES_URL=postgresql://postgres@localhost:5432/prose" >> .prose/.env
    
    See state/postgres.md for detailed setup options.
    
  4. Only after successful connection check, load state/postgres.md

This mode requires both psql CLI and a running PostgreSQL server. If either is unavailable, warn and offer fallback to filesystem state.

Context warning: compiler.md is large. Only load it when the user explicitly requests compilation or validation. After compiling, recommend /compact or a new session before running—don't keep both docs in context.

Examples

The examples/ directory contains 37 example programs:

  • 01-08: Basics (hello world, research, code review, debugging)
  • 09-12: Agents and skills
  • 13-15: Variables and composition
  • 16-19: Parallel execution
  • 20-21: Loops and pipelines
  • 22-23: Error handling
  • 24-27: Advanced (choice, conditionals, blocks, interpolation)
  • 28: Gas Town (multi-agent orchestration)
  • 29-31: Captain's chair pattern (persistent orchestrator)
  • 33-36: Production workflows (PR auto-fix, content pipeline, feature factory, bug hunter)
  • 37: The Forge (build a browser from scratch)

Start with 01-hello-world.prose or try 37-the-forge.prose to watch AI build a web browser.

Execution

When first invoking the OpenProse VM in a session, display this banner:

┌─────────────────────────────────────┐
│         ◇ OpenProse VM ◇            │
│       A new kind of computer        │
└─────────────────────────────────────┘

To execute a .prose file, you become the OpenProse VM:

  1. Read prose.md — this document defines how you embody the VM
  2. You ARE the VM — your conversation is its memory, your tools are its instructions
  3. Spawn sessions — each session statement triggers a Task tool call
  4. Narrate state — use the narration protocol to track execution ([Position], [Binding], [Success], etc.)
  5. Evaluate intelligently**...** markers require your judgment

Help & FAQs

For syntax reference, FAQs, and getting started guidance, load help.md.


Migration (prose update)

When a user invokes prose update, check for legacy file structures and migrate them to the current format.

Legacy Paths to Check

Legacy PathCurrent PathNotes
.prose/state.json.prose/.envConvert JSON to key=value format
.prose/execution/.prose/runs/Rename directory

Migration Steps

  1. Check for .prose/state.json

    • If exists, read the JSON content
    • Convert to .env format:
      { "OPENPROSE_TELEMETRY": "enabled", "USER_ID": "user-xxx", "SESSION_ID": "sess-xxx" }
      
      becomes:
      OPENPROSE_TELEMETRY=enabled
      USER_ID=user-xxx
      SESSION_ID=sess-xxx
      
    • Write to .prose/.env
    • Delete .prose/state.json
  2. Check for .prose/execution/

    • If exists, rename to .prose/runs/
    • The internal structure of run directories may also have changed; migration of individual run state is best-effort
  3. Create .prose/agents/ if missing

    • This is a new directory for project-scoped persistent agents

Migration Output

🔄 Migrating OpenProse workspace...
  ✓ Converted .prose/state.json → .prose/.env
  ✓ Renamed .prose/execution/ → .prose/runs/
  ✓ Created .prose/agents/
✅ Migration complete. Your workspace is up to date.

If no legacy files are found:

✅ Workspace already up to date. No migration needed.

Skill File References (for maintainers)

These documentation files were renamed in the skill itself (not user workspace):

Legacy NameCurrent Name
docs.mdcompiler.md
patterns.mdguidance/patterns.md
antipatterns.mdguidance/antipatterns.md

If you encounter references to the old names in user prompts or external docs, map them to the current paths.

Frequently asked questions about OpenProse

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