unicontext 0.1.0

Universal Python SDK for AI memory/context providers with HTTP-first architecture

UniContext

Universal Python SDK for agent memory and context with a unified API across multiple providers.

UniContext is HTTP-first: built-in providers call provider REST APIs via httpx. Switch providers by changing the provider name and API key.

Features

• Unified, provider-agnostic client API
• Typed models and input validation
• Consistent error types across providers
• Shared HTTP transport (connection pooling)

Installation

From PyPI:

pip install unicontext

From source (development):

pip install -e .

Optional development tools:

pip install -e ".[dev]"

Quick start

This example uses Letta (archives mode) because it has synchronous IDs you can get() and delete() immediately.

from unicontext import MemoryInput, Scope, SearchQuery, create_client

client = create_client(provider="letta", api_key="YOUR_LETTA_API_KEY")
scope = Scope(user_id="user_123")

created = client.add(MemoryInput(text="User prefers Python for backend"), scope)

hits = client.search(SearchQuery(query="backend", scope=scope, limit=5))
for hit in hits:
    print(hit.record.content)

fetched = client.get(memory_id=created.id, scope=scope)
print(fetched.content)

client.delete(memory_id=created.id, scope=scope)

Switching providers

from unicontext import create_client

mem0 = create_client(provider="mem0", api_key="YOUR_MEM0_API_KEY")
supermemory = create_client(provider="supermemory", api_key="YOUR_SUPERMEMORY_API_KEY")
zep = create_client(provider="zep", api_key="YOUR_ZEP_API_KEY")
letta = create_client(provider="letta", api_key="YOUR_LETTA_API_KEY")

Core concepts

Scope

Scope selects where the memory lives (user, agent, thread, tags).

from unicontext import Scope

Scope(user_id="user_123")
Scope(user_id="user_123", thread_id="thread_456")
Scope(user_id="user_123", tags=["preferences", "onboarding"])

Inputs

MemoryInput must provide exactly one of text or messages.

from unicontext import MemoryInput

MemoryInput(text="User prefers dark mode")
MemoryInput(messages=[{"role": "user", "content": "Hi"}])

Provider notes

UniContext normalizes the public API, but providers have different semantics.

Mem0

• add() is asynchronous; the returned ID may be an event ID.
• Use search() after processing completes to retrieve the finalized memory ID.

import time

from unicontext import MemoryInput, Scope, SearchQuery, create_client

client = create_client(provider="mem0", api_key="YOUR_MEM0_API_KEY")
scope = Scope(user_id="user_123")

client.add(MemoryInput(text="User likes espresso"), scope)
time.sleep(20)

hits = client.search(SearchQuery(query="espresso", scope=scope, limit=5))
if hits:
    memory_id = hits[0].record.id
    client.delete(memory_id=memory_id, scope=scope)

Supermemory

• Scope is primarily tag-driven.
• delete_by_scope() requires at least one tag to reduce accidental deletes.

Zep

• Dual routing: if scope.thread_id is set, add() writes to a thread; otherwise it writes to the knowledge graph.
• search() targets the knowledge graph.
• get() and delete() are not supported for graph records.

Letta

• Default mode uses archives and passages.
• If you do not provide an archive ID, UniContext auto-creates and caches one per scope.user_id.

Error handling

from unicontext import Scope, SearchQuery, create_client
from unicontext.exceptions import AuthError, ProviderError, ValidationError

client = create_client(provider="letta", api_key="YOUR_LETTA_API_KEY")
scope = Scope(user_id="user_123")

try:
    client.search(SearchQuery(query="hello", scope=scope, limit=5))
except ValidationError as e:
    print(e.message)
except AuthError as e:
    print(e.message)
except ProviderError as e:
    print(e.message)

Development

Run unit tests:

python -m pytest -v

Run the pre-release checks:

python scripts/pre_release.py