Does MemPalace work with ChatGPT (Codex)?
Yes. MemPalace passed every step of our test in ChatGPT (Codex) on Oct 22, 2026: it installed, connected, its tools were visible, and an agent used it to finish a real task.
Result
Steps
- install OK
- connect OK
- tools visible OK
- agent task: recall across sessions OKstore in session 1, recall in a fresh session 2 (the token only appears in session 1's prompt)
From our own harness run, not the maker’s claims. How we test.
Versions tested
Codex CLI 0.162.0-alpha.17.2 · mempalace 3.11.0 · connect time not recorded · tested Oct 22, 2026
Server package tested: mempalace 3.11.0 (uv, Python 3.12.15; resolved 2026-10-22)
Direct and key dependencies as resolved: anyio 4.15.1 · chromadb 1.5.9 · httpx 0.28.1 · huggingface_hub 2.2.0 · numpy 2.5.4 · pydantic 2.14.1 · pydantic-settings 2.16.1 · pydantic_core 2.50.1 · python-dateutil 3.0.0 · PyYAML 6.0.3 · tokenizers 0.23.3 · typing_extensions 4.16.0 · uvicorn 0.54.0
All 85 resolved dependencies
aiohappyeyeballs==2.7.1
aiohttp==3.14.5
aiohttp-retry==2.9.1
aiosignal==1.4.0
annotated-doc==0.0.5
annotated-types==0.8.0
anyio==4.15.1
attrs==26.1.0
bcrypt==5.0.0
build==1.6.1
certifi==2026.10.19
charset-normalizer==3.5.2
chromadb==1.5.9
click==8.5.0
durationpy==0.11
filelock==4.2.4
flatbuffers==25.12.19
frozenlist==1.8.0
fsspec==2026.9.0
googleapis-common-protos==1.75.5
grpcio==1.84.1
h11==0.16.0
hf-xet==1.7.0
httpcore==1.0.9
httpcore2==2.16.0
httptools==0.9.0
httpx==0.28.1
httpx2==2.16.0
huggingface_hub==2.2.0
idna==3.20
importlib_resources==7.1.0
jsonschema==4.26.0
jsonschema-specifications==2025.9.1
kubernetes==37.0.1
markdown-it-py==4.2.0
mdurl==0.1.2
mmh3==5.3.1
multidict==7.1.0
numpy==2.5.4
oauthlib==4.0.0
onnxruntime==1.31.0
opentelemetry-api==1.45.1
opentelemetry-exporter-otlp-common==0.66b1
opentelemetry-exporter-otlp-proto-common==1.45.1
opentelemetry-exporter-otlp-proto-grpc==1.45.1
opentelemetry-proto==1.45.1
opentelemetry-sdk==1.45.1
opentelemetry-semantic-conventions==0.66b1
orjson==3.13.0
overrides==7.7.0
packaging==26.3
propcache==0.5.4
protobuf==7.36.2
pybase64==1.5.1
pydantic==2.14.1
pydantic-settings==2.16.1
pydantic_core==2.50.1
Pygments==2.21.0
PyPika==0.51.1
pyproject_hooks==1.3.3
python-dateutil==3.0.0
python-dotenv==1.2.4
PyYAML==6.0.3
referencing==0.37.0
requests==2.34.2
requests-oauthlib==2.0.0
rich==15.0.0
rpds-py==2026.9.1
shellingham==1.5.4
six==1.17.0
tenacity==9.2.1
tokenizers==0.23.3
tqdm==4.70.1
truststore==0.10.5
typer==0.27.3
typing-inspection==0.4.4
typing_extensions==4.16.0
tzdata==2026.5
urllib3==2.8.0
uvicorn==0.54.0
uvloop==0.23.0
watchfiles==1.3.0
websocket-client==1.9.2
websockets==17.3
yarl==1.25.1Captured with: uvx --from mempalace python (importlib.metadata in the same uvx env; equivalent to uv pip freeze).
What happened in this run
Install config we used
[mcp_servers.mempalace]
command = "uvx"
args = ["--from", "mempalace", "mempalace-mcp"]Connection check
server answered tool calls during the taskTools check
verified via task step: agent saw and called the server's tools
Agent task: recall across sessions
- Tool calls, in order:
mempalace:mempalace_search,mempalace:mempalace_search
Raw details from our harness log for this run. Secrets redacted.
Set it up in ChatGPT (Codex)
Copy-paste config for every app is on the MemPalace page. Not connecting? ChatGPT (Codex) MCP troubleshooting.
Other apps we tested it in: Claude Code (passed) · Cursor (passed).