Chapter 06 · Memory and AGENTS.md
memory= points to AGENTS.md files that are all loaded at startup and persisted in the backend. It fits “long-term preferences / project conventions” and complements on-demand skills.
Mechanics and design choices
memory vs skill differs in load timing: memory always enters context; skills enter as frontmatter summaries and then on-demand full text. Keep memory short and stable; too much inflates per-turn tokens.
Example
import os
from langchain_openai import ChatOpenAI
model = ChatOpenAI(
model=os.environ["MODEL_ID"],
api_key=os.environ["DEEPAGENT_API_KEY"],
base_url=os.environ.get("DEEPAGENT_BASE_URL", "https://api.openai.com/v1"),
)
import pathlib, shutil, tempfile
from deepagents import create_deep_agent
from deepagents.backends import FilesystemBackend
root = tempfile.mkdtemp(prefix="deepagents-memory-")
try:
agents_md = pathlib.Path(root) / "AGENTS.md"
agents_md.write_text("# Rules\n- Use Python 3.11+\n- Never hard-code secrets\n")
agent = create_deep_agent(
model=model,
memory=[str(agents_md)],
backend=FilesystemBackend(root_dir=root, virtual_mode=True),
system_prompt="Follow the AGENTS.md rules.",
)
result = agent.invoke(
{"messages": [{"role": "user", "content": "Summarize the coding rules in one line."}]},
{"configurable": {"thread_id": "ch06"}},
)
print(result["messages"][-1].content)
finally:
shutil.rmtree(root, ignore_errors=True)Run and verify
API key required. The answer mentions both the Python 3.11+ and no-hard-coded-secrets rules.
Pitfalls
AGENTS.md holds conventions, not secrets. Put credentials in a secret manager; do not push the .env file itself into memory.
🧪 随堂测验
点击你认为正确的选项。答错时会展示正确答案与原因解析。
1. When is memory loaded?
2. Should AGENTS.md hold secrets?
3. What happens if memory is large?
4. How do skill and memory divide work?
Hands-on exercises
- Attach the same memory file to two agents and observe sharing.
- Write a preference the model will act on and verify it.
- Compare load timing between memory and skill.
Official references
Verified on 2026-09-17 with Deep Agents 0.7.15.