Last updated 07-23-2026
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Analog AI
Analog AI is an operating system for AI agents built around persistent memory and symbolic reasoning. It sits between agent frameworks like LangChain or CrewAI and the models they call, handling state, memory, and logical governance so agents can retain facts, learn skills through supervision, and stay auditable across sessions.
The platform combines procedural memory for dynamic skill learning with semantic memory for long-term knowledge updates. A smart routing engine sends routine tasks to smaller models and reserves frontier models for complex reasoning, which Analog AI says can cut compute costs by about three times on non-critical workflows.
Analog AI offers a cloud agent creator and a memory SDK accessible by API. Registration is required for both. It targets teams building non-coding agentic workflows that need reliable, explainable memory rather than stateless chat sessions.
Procedural memory lets agents learn and execute skills under human supervision
Semantic memory stores long-term knowledge with symbolic reasoning for auditable updates
Smart Router matches task complexity to small or frontier models for lower compute costs
Integrates with agent frameworks like LangChain, CrewAI, OpenClaw, and Hermes via API
Benchmarks published for BEAM, Microsoft State-Bench, and HotPotQA memory tasks
Persistent memory engine keeps agent context across sessions instead of resetting each chat.
Smart Router can reduce compute spend by routing simple tasks to smaller models.
Symbolic reasoning layer aims to make agent decisions traceable and auditable.
No public pricing page; access requires registration through a request form.
Cloud agent creator and memory SDK are not self-serve without approval.
What is an Agentic OS?
Analog AI describes it as the orchestration layer between your agents and compute models, handling state, memory, and logical governance.
How does the Smart Router work?
It analyzes prompt complexity and routes routine queries to cost-effective small models while sending complex multi-hop reasoning to frontier models.
Can I connect my own agents to Analog AI?
Yes. Analog AI integrates via API with frameworks like OpenClaw, Hermes, LangChain, CrewAI, or custom agent builds.
Does Analog AI learn over time?
Yes. The system updates its memory graph from supervised interactions so agents can refine skills and knowledge in real time.
How do I get access to Analog AI?
Registration is required. You can request access through the site form for the cloud agent creator or memory SDK.