Wontopos — long-term memory for AI agents
pip install wontopos
Get an API key in the console. Keys look like wos-live-...;
the client also reads WONTOPOS_API_KEY from the environment.
from wontopos import Client
mem = Client(api_key="wos-live-...")
# Each end-user / agent / topic gets its own store — create it once.
# (A "default" store already exists, so you can skip this and omit the id.)
mem.create_store("alice")
mem.add("she prefers tea over coffee", user_id="alice")
# one call → short-term + long-term + context, ready for your LLM prompt
ctx = mem.recall("what does alice drink?", user_id="alice")
Why
- The same in every language — identical recall whichever language a memory was written in (Korean · Japanese · Chinese · English).
- No LLM in the loop —
store/search/recallnever call a language model. You pay retrieval, not generation. - Bounded retrieval —
recall()returns a small, fixed-size slice regardless of how much you've stored (~1,000 tokens ontablet-2, the default engine). Your LLM bill stops growing with history.
Methods
| Method | Purpose |
|---|---|
add(content, user_id, **metadata) |
Store one memory |
add_turn(user_msg, assistant_msg, user_id?) |
Store a conversation exchange |
add_bulk(content, user_id, category=, timestamp=) |
Backfill a long history |
update(old_memory_id, new_content, user_id?) |
Supersede an old fact |
search(query, user_id, limit=10, **opts) |
Search stored memories |
search_full(query, user_id, limit=10, **opts) |
The same search with every field kept — images and verify_used included |
recall(query, user_id) |
One-call context (short + long + surrounding) |
history(user_id) |
Recent turns (short-term) |
stats(user_id) |
Counts |
get(user_id, memory_id) |
Fetch one memory by id (the text you stored, and its metadata) |
list_memories(user_id, limit=100, cursor=) |
Browse/export a store's raw memories, paged |
delete(user_id, memory_id) |
Delete one memory |
delete_all(user_id) |
GDPR erase (delete every memory for the user) |
add_speaker(speaker, user_id?) |
Register a person (explicit, up to 50 to start) |
list_speakers(user_id?) |
Registered people + per-person memory counts |
remove_speaker(speaker, user_id?) |
Unregister; memories stay, the tag goes |
All methods take a user_id — it names the store: one isolated memory space per end-user, agent, or topic, then per account (your API key). WHO said each memory inside a store is the speaker tag below — storing the assistant's own words never needs a separate id.
Who said it (speakers)
Every memory can carry a speaker: "me" for the assistant's own words, or a
person's name. Speakers are explicit, like stores: register a person once,
then store under their name — a typo can never silently become a new person.
Search accepts a speaker too, so you can recall one person's words only.
mem.add_speaker("Bob", user_id="alice") # once per person
mem.add("I promised to send the report on Friday", user_id="alice", speaker="me")
mem.add("Bob said the deadline moved to Tuesday", user_id="alice", speaker="Bob")
mem.search("what did Bob say about deadlines?", user_id="alice", speaker="Bob")
Results arrive best-first — take the list in the order given. similarity on each
memory is a raw closeness score, not the ranking key: what produces the order is
internal and is not returned, so sorting by it makes results worse. There is no
score field.
A store registers up to 50 people to start (a limit we plan to raise);
"me" never needs registration and never counts against it.
Async
Same surface, awaitable — needs the extra:
pip install "wontopos[async]"
from wontopos import AsyncClient
async with AsyncClient(api_key="wos-live-...", user_id="alice") as mem:
await mem.add("she prefers tea over coffee")
hits = await mem.search("what does alice drink?")
Every Client method exists on AsyncClient with identical arguments and
semantics (retries, redirect refusal, guards). Close with async with or
await mem.aclose().
Recall caching
Opt in per search and repeated or extended queries reuse the previous result at 10% of the normal rate (Tablet and Scroll models).
It is not free to turn on: the FIRST call writes the cache and bills the query
tokens at 2x for a 5m TTL, 3x for 1h. Only hits inside the TTL bill at 0.1x.
So it pays for a query you repeat or extend, and costs more for one you issue
once — do not switch it on globally. Any write to the store invalidates its cache
at once, so a hit can never predate a new memory.
hits = mem.search("...the conversation so far...", user_id="alice",
cache_control={"ttl": "5m"}) # or "1h"
Reliability
Built in, no configuration needed:
- Automatic retries — 429 always, and 502 / 503 or a connection error only when a
retry cannot double-process a write. The writes and the searches are POSTs, and a
502 on one of those may have been returned after the service already stored and
billed it, so those get 429 and connect-level failures only. The reads and the
deletes that address a whole store —
list_stores,list_speakers,delete_store,remove_speaker,forget_image— are GET or DELETE and do retry a 502. Twice, with exponential backoff + jitter, honoring the server'sRetry-After. Tune withClient(retries=...);retries=0disables. - Redirects refused — the API key never follows a 3xx to another host.
- Timeouts — 30s per attempt by default (
Client(timeout=...)), and a total budget for the whole call across every retry withClient(deadline=...)/with_deadline(secs). At the defaults one call can hold for 30s + backoff + 30s- backoff + 30s, which a request handler with five seconds cannot use.
- Key never in logs —
repr(client)masks the API key. - Wipe guard —
delete()without amemory_idraises instead of silently meaning "delete everything"; wiping a store is only ever the explicitdelete_all(user_id)/delete_store(user_id).
Security
Built in, none of it configurable off:
- TLS 1.2 floor and certificate verification that cannot be disabled.
- Redirects refused — a 3xx is an error, so the key never follows one to another host.
- Response size cap — anything over 64MB is refused instead of buffered.
- Key hygiene — keys are trimmed (a stray newline from a file otherwise becomes a mystery 401) and inner whitespace is rejected; model names are validated before they reach a header.
Client.from_env()readsWONTOPOS_API_KEY(orWOS_API_KEY) — keep keys out of source code.- Plain-HTTP base URLs on non-local hosts warn. One dependency (
requests, floor>=2.32for its certificate-verification fix).
Errors
Any non-2xx response raises WosError(status, message). When the server sent a
request id it's on e.request_id — include it when contacting support.
from wontopos import Client, WosError
try:
mem.search("...", user_id="alice")
except WosError as e:
if e.status == 401:
print("API key invalid or revoked")
elif e.status == 429:
print("Rate limited — back off") # already retried twice by then
else:
print(e.status, e.message, e.request_id)
A different API host
Point the client somewhere other than the default endpoint - a dedicated region, a proxy of your own, or a local test server:
mem = Client(api_key="...", base_url="https://api.example.com")
Links
- Homepage: https://wontopos.com
- API reference: https://wontopos.com/en/why (Developers tab)
Reporting a bug
Found something wrong, or something that looks unsafe? Tell us — every report gets read.
- Bugs: https://wontopos.com/contact?topic=bug
- Security: https://wontopos.com/contact?topic=security (also published at
/.well-known/security.txt)
Include the SDK version (wontopos.__version__) and the language. If it involves a store id or a
memory, describe the shape rather than pasting the contents — we do not need your
data to fix it.
Changelog
The three clients release in lockstep — same version, same surface, same day. Patch releases are additive. Four inside 2.2 were not, deliberately and each with its reason; the changelog lists them.
See CHANGELOG.md.
Metadata
Release files for wontopos 2.2.38
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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|---|---|---|---|---|
| wontopos-2.2.38-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 125.5 kB
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