Cognitive Primitives System is a structural memory-and-learning engine for AI agents. It remembers by meaning, not text similarity — and drops into LangChain, CrewAI, or AutoGen in a few lines.
Your agent nails a task today and remembers nothing useful tomorrow. A fix it found last week never carries over to a structurally identical problem this week. Pile on more history and retrieval gets worse, not better.
Cognitive Primitives System drops into your existing memory slot — no GPUs, no fine-tuning, LLM-agnostic.
from cognitive_primitives import Memory mem = Memory() # drop-in — works with your LLM # SAVE — turn a raw agent experience into a structured concept card mem.structurize(agent_experience) # FIND — retrieve by structure, not keyword similarity hits = mem.query("enterprise client threatening to churn") # CONNECT — ask how two cases relate, structurally mem.relate(case_a, case_b)
structurize() — save any experience as a structured concept card, automatically.query() — retrieve the structurally relevant past experience, ranked.relate() — ask how any two cases or ideas connect, in structural terms.3–5 lines in your existing stack. It compounds with use — the longer it runs, the smarter your agent gets.
Mem0, Letta, and LangMem save text and search it by similarity — a pile of sticky notes with a good search bar. That finds similar-sounding memories, not the right ones.
We're onboarding a small first cohort of agent builders who've hit the ceiling of vector memory. This isn't a waitlist for a finished product — it's an invitation to shape one.
You're a fit if you're building agents on LangChain, CrewAI, AutoGen, or LlamaIndex — and tired of your agent forgetting what matters and repeating the same mistakes.
LangChain, CrewAI, AutoGen, and LlamaIndex at launch — with a framework-agnostic SDK underneath, so you can wire it into anything.
Any of them. We're LLM-agnostic — bring your own. The LLM is only used at the boundary; the core runs without it.
Your concept cards are yours. We don't train on your data. (Full privacy policy to be published before public launch.)
Nothing during the private beta. Founding users keep founding-member pricing when paid tiers launch.
Weeks away — early-access users get to see it first.
Join the first cohort. Free during private beta.
Apply for Early Access