<5ms
Memory Retrieval Latency
∞
Memory Retention
N+
Agents per Namespace
REST
Simple API
A complete memory infrastructure layer built for agentic production systems.
Give your AI agents long-term memory that persists across sessions, conversations, and restarts. Agents remember what matters, indefinitely.
Vector-based retrieval that surfaces the most relevant memories at inference time. Agents recall exactly the right context, not just the most recent.
Multiple agents can read from and write to shared memory spaces. Orchestrate complex agent workflows where knowledge flows between agents seamlessly.
Automatically score, prune, and consolidate memories by recency, relevance, and frequency. Keep your memory store lean and fast.
Strict isolation between agents, users, and tenants. Every memory access is scoped and auditable, making murf32 production-safe from day one.
Simple REST and SDK interface. Plug murf32 into any LLM framework, LangChain, LlamaIndex, AutoGen, CrewAI, in minutes.
From customer service to coding assistants, murf32 makes every agent smarter.
Agents remember customer history, preferences, and past issues across every interaction.
Agents accumulate knowledge over long research sessions, building a persistent knowledge base.
Agents remember your codebase conventions, past decisions, and architecture choices.
Agents recall every touchpoint with a lead, personalizing outreach based on full history.
Add murf32 to your agent in three lines of code.
# Install
pip install murf32
# Use in your agent
from murf32 import AgentMemory
memory = AgentMemory(namespace="my-agent")
memory.store("User prefers dark mode")
ctx = memory.recall("UI preferences")