Caura

Caura is a memory system for AI agent fleets that provides persistent, shared knowledge, governed access, and audit trails across multi-agent deployments.

Caura provides persistent memory for AI agent fleets, allowing authorized agents to share and learn from a single, governed knowledge store. The platform enforces security policies, tenant isolation, and audit trails for every operation, ensuring that enterprises maintain visibility over agent decisions. It supports integration via MCP and REST, functioning with any model. The system includes Caura Prism, a console for managing visibility, cost, and audit logs. Memory recall improves over time as outcomes tune agent performance and repeats consolidate into knowledge. This approach allows enterprises to track coverage, identify stale facts, and monitor for PII or credential leaks within agent fleets.

Caura at a glance

Best for: Software engineer
Runs on: Web, API
Pricing: Free, Pro, Business, and Enterprise plans. Unlimited agents and fleets on every plan; pay for what you store and recall.
Released: April 2026
Category: AI agent tool
Website: caura.ai

Key features

Persistent memory storage across agent fleets
Tenant isolation for secure data boundaries
Attributed logs for every read, write, and delete operation
PII and secret detection on every memory write
Integration with any model via MCP or REST
Contradiction detection for stale facts
Memory recall tuning based on agent outcomes

Use it for

Auditing agent reasoning and knowledge sources
Monitoring data leakage or security findings in agent operations
Sharing learned knowledge across multiple agents in a fleet
Managing costs and token usage per agent

Alternatives to Caura

Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
Beeuni — Agents retain context and improve skills over time through a controlled review process.
Tigerless Agent Memory — Maintains agent history in portable, greppable Markdown files without API keys.
Cognee — Persistent memory for AI agents using graph, vector, and relational retrieval.
EverOS — It enables agents to learn from experience and improves over time without manual coding.
Maximem — It delivers fast retrieval and structured memory across frameworks.
Honcho — Maintains persistent state and reasoning across agent sessions.
AI Memory — Shared memory for coding agents that works across machines and team members.
Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
Playground — Persists agent memory across sessions and searches by meaning.

All Caura alternatives