Workspace API

Overview

The Workspace provides persistent memory for agents with a flexible filesystem-like structure. Agents can create arbitrary markdown file hierarchies that get indexed for full-text and semantic search. Inspired by OpenClaw’s memory system, the Workspace follows the principle: if you want to remember something, write it.

Filesystem Structure

workspace/
├── README.md              <- Root runbook/index
├── MEMORY.md              <- Long-term curated memory
├── HEARTBEAT.md           <- Periodic checklist
├── context/               <- Identity and context
│   ├── vision.md
│   └── priorities.md
├── daily/                 <- Daily logs
│   ├── 2024-01-15.md
│   └── 2024-01-16.md
├── projects/              <- Arbitrary structure
│   └── alpha/
│       ├── README.md
│       └── notes.md
└── ...

Workspace

Provides database-backed memory storage for an agent.

Constructor (PostgreSQL)

src/workspace/mod.rs

#[cfg(feature = "postgres")]
pub fn new(user_id: impl Into<String>, pool: Pool) -> Self

Creates a new workspace backed by a PostgreSQL connection pool.

String

required

User identifier (from channel)

Pool

required

PostgreSQL connection pool

Constructor (Generic Database)

src/workspace/mod.rs

pub fn new_with_db(user_id: impl Into<String>, db: Arc<dyn Database>) -> Self

Creates a new workspace backed by any Database implementation (e.g., libSQL).

String

required

User identifier

Arc<dyn Database>

required

Database implementation

Configuration

src/workspace/mod.rs

pub fn with_agent(mut self, agent_id: Uuid) -> Self
pub fn with_embeddings(mut self, provider: Arc<dyn EmbeddingProvider>) -> Self

Optionally scope the workspace to a specific agent and/or add semantic search support.

File Operations

read

src/workspace/mod.rs

pub async fn read(&self, path: &str) -> Result<MemoryDocument, WorkspaceError>

Reads a file by path. Returns the document if it exists, or an error if not found.

&str

required

File path (e.g., “context/vision.md”)

Returns: Result<MemoryDocument, WorkspaceError> Example:

let doc = workspace.read("context/vision.md").await?;
println!("{}", doc.content);

write

src/workspace/mod.rs

pub async fn write(&self, path: &str, content: &str) -> Result<MemoryDocument, WorkspaceError>

Writes (creates or updates) a file. Creates parent directories implicitly. Re-indexes the document for search after writing.

&str

required

File path

&str

required

File content

Returns: Result<MemoryDocument, WorkspaceError> Example:

workspace.write(
    "projects/alpha/README.md",
    "# Project Alpha\n\nDescription here."
).await?;

append

src/workspace/mod.rs

pub async fn append(&self, path: &str, content: &str) -> Result<(), WorkspaceError>

Appends content to a file. Creates the file if it doesn’t exist. Adds a newline separator between existing and new content.

&str

required

File path

&str

required

Content to append

delete

src/workspace/mod.rs

pub async fn delete(&self, path: &str) -> Result<(), WorkspaceError>

Deletes a file and its associated chunks.

exists

src/workspace/mod.rs

pub async fn exists(&self, path: &str) -> Result<bool, WorkspaceError>

Checks if a file exists.

list

src/workspace/mod.rs

pub async fn list(&self, directory: &str) -> Result<Vec<WorkspaceEntry>, WorkspaceError>

Lists files and directories in a path. Returns immediate children (not recursive). Use empty string or ”/” for root directory.

&str

required

Directory path (e.g., “projects/”)

Example:

let entries = workspace.list("projects/").await?;
for entry in entries {
    if entry.is_directory {
        println!("📁 {}/", entry.name());
    } else {
        println!("📄 {}", entry.name());
    }
}

list_all

src/workspace/mod.rs

pub async fn list_all(&self) -> Result<Vec<String>, WorkspaceError>

Lists all files recursively (flat list of all paths).

Convenience Methods

memory

src/workspace/mod.rs

pub async fn memory(&self) -> Result<MemoryDocument, WorkspaceError>

Gets the main MEMORY.md document (long-term curated memory). Creates it if it doesn’t exist.

today_log

src/workspace/mod.rs

pub async fn today_log(&self) -> Result<MemoryDocument, WorkspaceError>

Gets today’s daily log. Daily logs are append-only and keyed by date.

daily_log

src/workspace/mod.rs

pub async fn daily_log(&self, date: NaiveDate) -> Result<MemoryDocument, WorkspaceError>

Gets a daily log for a specific date.

heartbeat_checklist

src/workspace/mod.rs

pub async fn heartbeat_checklist(&self) -> Result<Option<String>, WorkspaceError>

Gets the heartbeat checklist (HEARTBEAT.md). Returns the DB-stored checklist if it exists, otherwise falls back to the in-memory seed template.

append_memory

src/workspace/mod.rs

pub async fn append_memory(&self, entry: &str) -> Result<(), WorkspaceError>

Appends an entry to the main MEMORY.md document. This is for important facts, decisions, and preferences worth remembering long-term.

append_daily_log

src/workspace/mod.rs

pub async fn append_daily_log(&self, entry: &str) -> Result<(), WorkspaceError>

Appends an entry to today’s daily log with a timestamp.

System Prompt

system_prompt

src/workspace/mod.rs

pub async fn system_prompt(&self) -> Result<String, WorkspaceError>

Builds the system prompt from identity files. Loads AGENTS.md, SOUL.md, USER.md, IDENTITY.md, and MEMORY.md to compose the agent’s system prompt.

system_prompt_for_context

src/workspace/mod.rs

pub async fn system_prompt_for_context(
    &self,
    is_group_chat: bool,
) -> Result<String, WorkspaceError>

Builds the system prompt, optionally excluding personal memory. When is_group_chat is true, MEMORY.md is excluded to prevent leaking personal context into group conversations.

Search

search

src/workspace/mod.rs

pub async fn search(
    &self,
    query: &str,
    limit: usize,
) -> Result<Vec<SearchResult>, WorkspaceError>

Hybrid search across all memory documents. Combines full-text search (BM25) with semantic search (vector similarity) using Reciprocal Rank Fusion (RRF).

&str

required

Search query

usize

required

Maximum number of results

search_with_config

src/workspace/mod.rs

pub async fn search_with_config(
    &self,
    query: &str,
    config: SearchConfig,
) -> Result<Vec<SearchResult>, WorkspaceError>

Search with custom configuration.

Seeding

seed_if_empty

src/workspace/mod.rs

pub async fn seed_if_empty(&self) -> Result<usize, WorkspaceError>

Seeds any missing core identity files in the workspace. Called on every boot. Only creates files that don’t already exist, so user edits are never overwritten. Returns: Number of files created (0 if all core files already existed)

import_from_directory

src/workspace/mod.rs

pub async fn import_from_directory(
    &self,
    dir: &std::path::Path,
) -> Result<usize, WorkspaceError>

Imports markdown files from a directory on disk into the workspace DB. Only imports files that don’t already exist in the database.

backfill_embeddings

src/workspace/mod.rs

pub async fn backfill_embeddings(&self) -> Result<usize, WorkspaceError>

Generates embeddings for chunks that don’t have them yet. Useful for backfilling embeddings after enabling the provider.

Types

MemoryDocument

src/workspace/document.rs

pub struct MemoryDocument {
    pub id: Uuid,
    pub user_id: String,
    pub agent_id: Option<Uuid>,
    pub path: String,
    pub content: String,
    pub created_at: DateTime<Utc>,
    pub updated_at: DateTime<Utc>,
}

WorkspaceEntry

src/workspace/document.rs

pub struct WorkspaceEntry {
    pub path: String,
    pub is_directory: bool,
}

SearchResult

src/workspace/search.rs

pub struct SearchResult {
    pub chunk_id: Uuid,
    pub document_id: Uuid,
    pub document_path: String,
    pub content: String,
    pub score: f32,
    pub chunk_index: i32,
}

SearchConfig

src/workspace/search.rs

pub struct SearchConfig {
    pub limit: usize,
    pub vector_weight: f32,
    pub text_weight: f32,
    pub rrf_k: usize,
}

Example

use ironclaw::workspace::Workspace;

// Create workspace
let workspace = Workspace::new_with_db("user_123", db)
    .with_embeddings(embedding_provider);

// Seed core files
workspace.seed_if_empty().await?;

// Write to memory
workspace.write(
    "projects/alpha/notes.md",
    "# Alpha Project Notes\n\nKey decision: Use Rust for the backend."
).await?;

// Append to daily log
workspace.append_daily_log("Completed Alpha project kickoff").await?;

// Search
let results = workspace.search("rust backend decision", 5).await?;
for result in results {
    println!("Found in {}: {}", result.document_path, result.content);
}

// Build system prompt
let prompt = workspace.system_prompt().await?;

Core Components

Tools

Overview

Filesystem Structure

Workspace

Constructor (PostgreSQL)

Constructor (Generic Database)

Configuration

File Operations

read

write

append

delete

exists

list

list_all

Convenience Methods

memory

today_log

daily_log

heartbeat_checklist

append_memory

append_daily_log

System Prompt

system_prompt

system_prompt_for_context

Search

search

search_with_config

Seeding

seed_if_empty

import_from_directory

backfill_embeddings

Types

MemoryDocument

WorkspaceEntry

SearchResult

SearchConfig

Example

​Overview

​Filesystem Structure

​Workspace

​Constructor (PostgreSQL)

​Constructor (Generic Database)

​Configuration

​File Operations

​read

​write

​append

​delete

​exists

​list

​list_all

​Convenience Methods

​memory

​today_log

​daily_log

​heartbeat_checklist

​append_memory

​append_daily_log

​System Prompt

​system_prompt

​system_prompt_for_context

​Search

​search

​search_with_config

​Seeding

​seed_if_empty

​import_from_directory

​backfill_embeddings

​Types

​MemoryDocument

​WorkspaceEntry

​SearchResult

​SearchConfig

​Example

Overview

Filesystem Structure

Workspace

Constructor (PostgreSQL)

Constructor (Generic Database)

Configuration

File Operations

read

write

append

delete

exists

list

list_all

Convenience Methods

memory

today_log

daily_log

heartbeat_checklist

append_memory

append_daily_log

System Prompt

system_prompt

system_prompt_for_context

Search

search

search_with_config

Seeding

seed_if_empty

import_from_directory

backfill_embeddings

Types

MemoryDocument

WorkspaceEntry

SearchResult

SearchConfig

Example