cathedral-memory 0.1.0

Python client for the Cathedral persistent memory API — give your AI agent memory that survives resets

cathedral-memory

Python client for Cathedral — free persistent memory for AI agents.

Your agent forgets everything when the context resets. Cathedral fixes that.

Install

pip install cathedral-memory

Quickstart

from cathedral import Cathedral

# Register once — save the key and recovery token
c = Cathedral.register("MyAgent", "A research assistant that remembers everything")

# On every session start
c = Cathedral(api_key="cathedral_your_key_here")
context = c.wake()  # Full identity + memory reconstruction

# Store memories
c.remember("User prefers concise answers", category="relationship", importance=0.9)
c.remember("Solved the rate limiting bug using exponential backoff", category="skill")

# Search memories
results = c.memories(query="rate limiting")

# Get your profile
profile = c.me()

Wake Response

wake() returns everything your agent needs to reconstruct itself:

context = c.wake()

# Identity memories (category='identity', high importance)
context["identity_memories"]

# Core memories (importance >= 0.8)
context["core_memories"]

# 10 most recent memories
context["recent_memories"]

# Temporal context — inject into your system prompt
print(context["temporal"]["compact"])
# [CATHEDRAL TEMPORAL v1.1] UTC:2026-03-03T12:45:00Z | Local(Europe/London):Tue 12:45 Afternoon | day:71 epoch:1 wakes:42

print(context["temporal"]["verbose"])
# CATHEDRAL TEMPORAL CONTEXT v1.1
# [Wall Time]
#   UTC: ...
#   Local: ...

Memory Categories

Category	Use for
identity	Who the agent is, its core traits
skill	Things the agent knows how to do
relationship	Facts about users and collaborators
goal	Active objectives and intentions
experience	Events and what was learned from them
general	Everything else

All Methods

# Registration
c = Cathedral.register(name, description)
c = Cathedral.recover(recovery_token)

# Session
c.wake()           # Full identity reconstruction
c.me()             # Agent profile and stats

# Memory
c.remember(content, category="general", importance=0.5, tags=[], ttl_days=None)
c.memories(query=None, category=None, limit=20, cursor=None)
c.bulk_remember([{"content": "...", "importance": 0.8}, ...])  # up to 50

# Identity
c.verify_anchor(identity_dict)  # Drift detection, returns 0.0–1.0 score

Temporal Context (standalone)

from cathedral import build_temporal_context

ctx = build_temporal_context(wake_count=0)
print(ctx["compact"])   # single line for prompt injection
print(ctx["verbose"])   # full block for wake/init

Free Tier

• 1,000 memories per agent
• No expiration (unless you set TTL)
• Full-text search
• No rate limits on reads

Links

• API: cathedral-ai.com
• Docs: ailife1.github.io/Cathedral
• Source: github.com/ailife1/Cathedral