anansi-memory 0.1.1

The memory layer for AI apps — persistent, synthesized context for any LLM application

anansi-memory

The memory layer for AI apps. Give any LLM application persistent, synthesized memory in two API calls.

pip install anansi-memory

Usage

from anansi_memory import AnansiMemory

memory = AnansiMemory(api_key="ans_...")

# Store a conversation turn
memory.ingest(
    user_id="user_123",
    content="User is building a voice agent. Prefers TypeScript. Team of 4.",
    source_type="conversation",
)

# Before your next LLM call — inject synthesized context into system prompt
ctx = memory.context(user_id="user_123", q="what is the user building?")
system_prompt = f"You are a helpful assistant.\n\n{ctx.format_for_prompt()}"

API

AnansiMemory(api_key, base_url=None)

Param	Type	Description
api_key	str	Your API key (ans_...)
base_url	str	Override API base URL (default: https://api.zazzy.app)

memory.ingest(user_id, content, source_type=None, source_id=None, metadata=None)

Store content in a user's memory. Returns IngestResult(id, queued=True).

Param	Type	Required	Description
user_id	str	✓	Your internal user ID
content	str	✓	Text to remember, max 100 KB
source_type	str		"conversation", "document", "note", "meeting", "custom"
source_id	str		Idempotency key — re-ingesting the same ID is a no-op
metadata	dict		title, author, timestamp, any custom fields

memory.context(user_id, q=None)

Retrieve synthesized memory for a user. Returns ContextResult(static, dynamic, relevant).

Param	Type	Required	Description
user_id	str	✓	Your internal user ID
q	str		Optional query to retrieve relevant chunks

ctx.format_for_prompt()

Format a context result into a ready-to-inject system prompt block (string).

Error handling

from anansi_memory import AnansiMemory, AnansiError

try:
    memory.ingest(user_id=user_id, content=content)
except AnansiError as e:
    print(e.status_code, e.args[0])
    # 401 — invalid API key
    # 402 — monthly quota exceeded
    # 413 — content too large
    # 429 — rate limit (retry after 60s)

Requirements

Python 3.9+. No external dependencies — uses stdlib urllib only.

Links

• Developer Portal
• API Docs
• GitHub