Reliable User State for AI

For AI agents that cannot afford to be confidently wrong.

Memonative accurately tracks user state, resolves contradictions, and curates history in the background—so your agents never hallucinate past events.

Why standard RAG fails

Vector databases are filing cabinets, not memories.

Standard RAG simply appends every new interaction to a massive vector store. When a user says "I live in NY" and months later says "I moved to SF", a vector store blindly retrieves both.

This forces the LLM to guess which fact is true, leading to confident hallucinations.

Memonative solves this by intrinsically understanding identity, time, and contradiction—always serving the agent the correct current state.

1
User: 'I live in New York'
Standard Vector DB
Doc ID: a7f89
"User lives in NY"
Doc ID: b2e14
"User moved to SF"
Agent Output
"You live in NY and SF."
Memonative
Slot: LocationActive
"User lives in NY"
Slot: Location
"User lives in SF"
Agent Output
"You live in SF."

How Memonative works

Simple, reliable memory that adapts naturally as you interact. No complex prompt engineering required.

Always up to date

When state changes, Memonative understands identity. It seamlessly updates the current fact so your agent retrieves the truth instantly, while safely archiving the old value as part of a chronological revision history.

Target: Location
🗽
Lives in New York
History
🎡
Lives in London
Current
State successfully updated

Forgets trivia, remembers what matters

Just like human memory, facts decay over time if they aren't used. But every time your agent recalls a fact, it gets reinforced—automatically solidifying its importance so the agent never loses track of core details.

Recalling...
Memory Strength100%
ForgottenCrystal Clear

Connects the dots

If you mention a minor detail a few times, Memonative runs silently in the background to synthesize these brief mentions. It automatically connects the dots to form a high-confidence, established fact about the user.

"Bought a camera"
"Editing photos"
"Likes landscapes"
📸
Likes Photography
High Confidence Fact
agent.py
import anthropic
from memonative import Client, dispatch_tool_call

# 1. Connect memory engine
mem = Client("https://api.memonative.ai")
manifest = mem.tool_manifest("anthropic")

# 2. Give agent memory tools
resp = anthropic.messages.create(
  model="claude-3-opus",
  tools=manifest["tools"],
  messages=[{"role": "user", "content": "Where do I live?"}],
)

# 3. Auto-route tool calls
for block in resp.content:
  if block.type == "tool_use":
    dispatch_tool_call(mem, user_id, block.name, block.input)

Agent-Native by design.

We built Memonative explicitly for tool-calling agents. Drop in our ready-made manifest for Anthropic Claude or OpenAI models.

  • Agent tools automatically injected into context.
  • Retrieval seamlessly reinforces memories on the fly.
  • Strict tenant isolation via bearer tokens.

Built for long-term relationships.

Memonative is the missing infrastructure for AI products that need to evolve alongside their users over months and years.

I'm so stressed about my finals next week.
You'll crush it! Just like that Biology exam last semester. 📚
Memory Active

AI Companions

Maintain context across thousands of interactions without overflow. Characters naturally remember inside jokes, past events, and evolving relationship dynamics.

JD
John Doe
High Churn Risk
Issue: Login FailedToday
Issue: Billing Error3 mos ago
Action: Bypassing triage...

Customer Support

Maintain a perfect history of a user's issues and preferences. The AI instantly recalls past tickets, so frustrated users never have to repeat themselves.

# Applied User Preference
"Always use 2 spaces for indentation"
def hello():
  # Formatted automatically
  print("World")

Personal Assistants

Create an assistant that truly learns. It remembers procedural preferences, like tone of voice or preferred code formatting, adjusting itself over time without explicit prompting.

Be the first to give your agents a mind.

We are currently in closed beta, working with select teams to refine the Memonative engine. Secure your spot to get early access before the public launch.

Accepting new teams on a rolling basis