deep-agents-memory

deep-agents-memory

Short-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 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 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) </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 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 </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. @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 ) ### 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 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() }); </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! 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