memnos-sdk
Lightweight Python client for memnos — governed, vendor-neutral backend memory for AI agents. Use it directly, or as a LangChain retriever, a LangGraph long-term-memory store, or a LlamaIndex retriever.
httpx-only (no server deps). Talks to a running memnos server over REST.
Add it to your project with uv (or plain pip — it's an importable library, not a CLI app):
uv pip install memnos-sdk # core client (or: pip install memnos-sdk)
uv pip install 'memnos-sdk[langchain]' # + LangChain retriever
uv pip install 'memnos-sdk[langgraph]' # + LangGraph BaseStore
uv pip install 'memnos-sdk[llamaindex]' # + LlamaIndex retriever
uv pip install 'memnos-sdk[all]' # everything
Core client (sync + async)
from memnos_sdk import MemnosClient
with MemnosClient(base_url="http://127.0.0.1:8900", token="mnk_...", namespace="org:acme") as mem:
mem.remember("We chose PostgreSQL + pgvector for the memory store")
ctx = mem.context("what database did we choose?") # ready-to-inject; no LLM at query time
rows = mem.recall("database decision")["memories"] # ranked memories w/ scores + dates
from memnos_sdk import AsyncMemnosClient
async with AsyncMemnosClient(token="mnk_...", namespace="org:acme") as mem:
await mem.remember("...")
print(await mem.context("..."))
A token + namespace come from your memnos admin (memnos token <principal>,
memnos grant <principal> <namespace>). Every call is namespace-scoped and audited
server-side.
LangChain
from memnos_sdk import MemnosClient
from memnos_sdk.integrations.langchain import MemnosRetriever
retriever = MemnosRetriever(client=MemnosClient(token="mnk_...", namespace="org:acme"))
docs = retriever.invoke("auth token expiry policy") # drop into any RAG chain
retriever.save("JWT tokens expire after 15 minutes in prod")
LangGraph (long-term memory)
from memnos_sdk import MemnosClient
from memnos_sdk.integrations.langgraph import MemnosStore
store = MemnosStore(MemnosClient(token="mnk_..."))
graph = builder.compile(store=store)
# in a node: store.search(("org","acme"), query="...") · store.put(("org","acme"), key, {"text": "..."})
memnos is semantic memory: put→remember, search→hybrid+reranked recall. Exact-key
get is best-effort (use search).
LlamaIndex
from memnos_sdk import MemnosClient
from memnos_sdk.integrations.llamaindex import MemnosRetriever
retriever = MemnosRetriever(client=MemnosClient(token="mnk_...", namespace="org:acme"))
nodes = retriever.retrieve("auth token expiry policy") # NodeWithScore[]; drop into a query engine
retriever.save("JWT tokens expire after 15 minutes in prod")
API surface
remember(text) · recall(query) -> {memories, context} · context(query) -> str ·
consolidate() · feedback(query, helpful) · healthy(). Async mirror on
AsyncMemnosClient.
Apache-2.0.
1 maintainer
Release files for memnos-sdk 0.1.36
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Source distribution (sdist)
| File | Size | Uploaded | |
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| memnos_sdk-0.1.36.tar.gz | 18.0 kB | Details |
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|---|---|---|---|---|
| memnos_sdk-0.1.36-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.6 kB
Release files / memnos_sdk-0.1.36.tar.gz
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