pi22by7/In-Memoria

Overview

In-Memoria is a Rust-based persistent intelligence infrastructure for AI agents. It provides a framework for agents to store and retrieve state across sessions, enabling long-term memory and context retention.

Best for

Best for
Rust developers building AI agents that require persistent memory and state management

Use cases

• Building AI agents that need persistent memory across interactions
• Implementing stateful agent workflows with Rust
• Creating infrastructure for agent context retention

Notes

In-Memoria is a Rust-based persistent intelligence infrastructure for AI agents. It provides a framework for agents to store and retrieve state across sessions, enabling long-term memory and context retention.

168 stars on GitHub. Last updated 2025-12-23. Licensed MIT.

Use cases

• Building AI agents that need persistent memory across interactions
• Implementing stateful agent workflows with Rust
• Creating infrastructure for agent context retention

Pros

• Written in Rust for performance and safety
• Focuses on a specific need: persistent agent memory
• Open source with community visibility (168 stars)

Cons

• Relatively low adoption may mean limited community support
• Rust dependency narrows the audience of potential users
• Early-stage project with potential for breaking changes

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.