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.
Memonative accurately tracks user state, resolves contradictions, and curates history in the background—so your agents never hallucinate past events.
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.
Simple, reliable memory that adapts naturally as you interact. No complex prompt engineering required.
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.
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.
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.
We built Memonative explicitly for tool-calling agents. Drop in our ready-made manifest for Anthropic Claude or OpenAI models.
Memonative is the missing infrastructure for AI products that need to evolve alongside their users over months and years.
Maintain context across thousands of interactions without overflow. Characters naturally remember inside jokes, past events, and evolving relationship dynamics.
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.
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.
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.