ClawForge Deep Agents Memory & Filesystem
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
git clone https://github.com/jackjin1997/ClawForge
T=$(mktemp -d) && git clone --depth=1 https://github.com/jackjin1997/ClawForge "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/deep-agents-memory" ~/.claude/skills/jackjin1997-clawforge-deep-agents-memory-filesystem && rm -rf "$T"
skills/deep-agents-memory/SKILL.mdShort-term (StateBackend): Persists within a single thread, lost when thread ends Long-term (StoreBackend): Persists across threads and sessions Hybrid (CompositeBackend): Route different paths to different backends
FilesystemMiddleware provides tools:
ls, read_file, write_file, edit_file, glob, grep
</overview>
<backend-selection>
| Use Case | Backend | Why |
|---|---|---|
| Temporary working files | StateBackend | Default, no setup |
| Local development CLI | FilesystemBackend | Direct disk access |
| Cross-session memory | StoreBackend | Persists across threads |
| Hybrid storage | CompositeBackend | Mix ephemeral + persistent |
agent = create_deep_agent() # Default: StateBackend result = agent.invoke({ "messages": [{"role": "user", "content": "Write notes to /draft.txt"}] }, config={"configurable": {"thread_id": "thread-1"}})
/draft.txt is lost when thread ends
</typescript> </ex-default-state-backend> <ex-composite-backend-for-hybrid> <python> Configure CompositeBackend to route paths to different storage backends. ```python from deepagents import create_deep_agent from deepagents.backends import CompositeBackend, StateBackend, StoreBackend from langgraph.store.memory import InMemoryStore</python> <typescript> Default StateBackend stores files ephemerally within a thread. ```typescript import { createDeepAgent } from "deepagents"; const agent = await createDeepAgent(); // Default: StateBackend const result = await agent.invoke({ messages: [{ role: "user", content: "Write notes to /draft.txt" }] }, { configurable: { thread_id: "thread-1" } }); // /draft.txt is lost when thread ends
store = InMemoryStore()
composite_backend = lambda rt: CompositeBackend( default=StateBackend(rt), routes={"/memories/": StoreBackend(rt)} )
agent = create_deep_agent(backend=composite_backend, store=store)
/draft.txt -> ephemeral (StateBackend)
/memories/user-prefs.txt -> persistent (StoreBackend)
</typescript> </ex-composite-backend-for-hybrid> <ex-cross-session-memory> <python> Files in /memories/ persist across threads via StoreBackend routing. ```python # Using CompositeBackend from previous example config1 = {"configurable": {"thread_id": "thread-1"}} agent.invoke({"messages": [{"role": "user", "content": "Save to /memories/style.txt"}]}, config=config1)</python> <typescript> Configure CompositeBackend to route paths to different storage backends. ```typescript import { createDeepAgent, CompositeBackend, StateBackend, StoreBackend } from "deepagents"; import { InMemoryStore } from "@langchain/langgraph"; const store = new InMemoryStore(); const agent = await createDeepAgent({ backend: (config) => new CompositeBackend( new StateBackend(config), { "/memories/": new StoreBackend(config) } ), store }); // /draft.txt -> ephemeral (StateBackend) // /memories/user-prefs.txt -> persistent (StoreBackend)
config2 = {"configurable": {"thread_id": "thread-2"}} agent.invoke({"messages": [{"role": "user", "content": "Read /memories/style.txt"}]}, config=config2)
Thread 2 can read file saved by Thread 1
</typescript> </ex-cross-session-memory> <ex-filesystem-backend-local-dev> <python> Use FilesystemBackend for local development with real disk access and human-in-the-loop. ```python from deepagents import create_deep_agent from deepagents.backends import FilesystemBackend from langgraph.checkpoint.memory import MemorySaver</python> <typescript> Files in /memories/ persist across threads via StoreBackend routing. ```typescript // Using CompositeBackend from previous example const config1 = { configurable: { thread_id: "thread-1" } }; await agent.invoke({ messages: [{ role: "user", content: "Save to /memories/style.txt" }] }, config1); const config2 = { configurable: { thread_id: "thread-2" } }; await agent.invoke({ messages: [{ role: "user", content: "Read /memories/style.txt" }] }, config2); // Thread 2 can read file saved by Thread 1
agent = create_deep_agent( backend=FilesystemBackend(root_dir=".", virtual_mode=True), # Restrict access interrupt_on={"write_file": True, "edit_file": True}, checkpointer=MemorySaver() )
Agent can read/write actual files on disk
</typescript></python> <typescript> Use FilesystemBackend for local development with real disk access and human-in-the-loop. ```typescript import { createDeepAgent, FilesystemBackend } from "deepagents"; import { MemorySaver } from "@langchain/langgraph"; const agent = await createDeepAgent({ backend: new FilesystemBackend({ rootDir: ".", virtualMode: true }), interruptOn: { write_file: true, edit_file: true }, checkpointer: new MemorySaver() });
Security: Never use FilesystemBackend in web servers - use StateBackend or sandbox instead. </ex-filesystem-backend-local-dev>
<ex-store-in-custom-tools> <python> Access the store directly in custom tools for long-term memory operations. ```python from langchain.tools import tool, ToolRuntime from langchain.agents import create_agent from langgraph.store.memory import InMemoryStore@tool def get_user_preference(key: str, runtime: ToolRuntime) -> str: """Get a user preference from long-term storage.""" store = runtime.store result = store.get(("user_prefs",), key) return str(result.value) if result else "Not found"
@tool def save_user_preference(key: str, value: str, runtime: ToolRuntime) -> str: """Save a user preference to long-term storage.""" store = runtime.store store.put(("user_prefs",), key, {"value": value}) return f"Saved {key}={value}"
store = InMemoryStore()
agent = create_agent( model="gpt-4.1", tools=[get_user_preference, save_user_preference], store=store )
</python> <typescript> StoreBackend requires a store instance. ```typescript // WRONG const agent = await createDeepAgent({ backend: (c) => new StoreBackend(c) });</python> </ex-store-in-custom-tools> <boundaries> ### What Agents CAN Configure - Backend type and configuration - Routing rules for CompositeBackend - Root directory for FilesystemBackend - Human-in-the-loop for file operations ### What Agents CANNOT Configure - Tool names (ls, read_file, write_file, edit_file, glob, grep) - Access files outside virtual_mode restrictions - Cross-thread file access without proper backend setup </boundaries> <fix-storebackend-requires-store> <python> StoreBackend requires a store instance. ```python # WRONG agent = create_deep_agent(backend=lambda rt: StoreBackend(rt)) # CORRECT agent = create_deep_agent(backend=lambda rt: StoreBackend(rt), store=InMemoryStore())
// CORRECT const agent = await createDeepAgent({ backend: (c) => new StoreBackend(c), store: new InMemoryStore() });
</python> <typescript> StateBackend files are thread-scoped - use same thread_id or StoreBackend for cross-thread access. ```typescript // WRONG: thread-2 can't read file from thread-1 await agent.invoke({ messages: [...] }, { configurable: { thread_id: "thread-1" } }); // Write await agent.invoke({ messages: [...] }, { configurable: { thread_id: "thread-2" } }); // File not found! ``` </typescript> </fix-statebackend-files-dont-persist> <fix-path-prefix-for-persistence> <python> Path must match CompositeBackend route prefix for persistence. ```python # With routes={"/memories/": StoreBackend(rt)}: agent.invoke(...) # /prefs.txt -> ephemeral (no match) agent.invoke(...) # /memories/prefs.txt -> persistent (matches route) ``` </python> <typescript> Path must match CompositeBackend route prefix for persistence. ```typescript // With routes: { "/memories/": StoreBackend }: await agent.invoke(...); // /prefs.txt -> ephemeral (no match) await agent.invoke(...); // /memories/prefs.txt -> persistent (matches route) ``` </typescript> </fix-path-prefix-for-persistence> <fix-production-store> <python> Use PostgresStore for production (InMemoryStore lost on restart). ```python # WRONG # CORRECT store = InMemoryStore() store = PostgresStore(connection_string="postgresql://...") ``` </python> <typescript> Use PostgresStore for production (InMemoryStore lost on restart). ```typescript // WRONG // CORRECT const store = new InMemoryStore(); const store = new PostgresStore({ connectionString: "..." }); ``` </typescript> </fix-production-store> <fix-filesystem-backend-needs-virtual-mode> <python> Enable virtual_mode=True to restrict path access (prevents ../ and ~/ escapes). ```python backend = FilesystemBackend(root_dir="/project", virtual_mode=True) # Secure ``` </python> </fix-filesystem-backend-needs-virtual-mode> <fix-longest-prefix-match> <python> CompositeBackend matches longest prefix first. ```python routes = {"/mem/": StoreBackend(rt), "/mem/temp/": StateBackend(rt)} # /mem/file.txt -> StoreBackend, /mem/temp/file.txt -> StateBackend (longer match) ``` </python> </fix-longest-prefix-match></typescript> </fix-storebackend-requires-store> <fix-statebackend-files-dont-persist> <python> StateBackend files are thread-scoped - use same thread_id or StoreBackend for cross-thread access. ```python # WRONG: thread-2 can't read file from thread-1 agent.invoke({"messages": [...]}, config={"configurable": {"thread_id": "thread-1"}}) # Write agent.invoke({"messages": [...]}, config={"configurable": {"thread_id": "thread-2"}}) # File not found!