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

How to use

Install

npm install -g in-memoria

Tools exposed

• analyze_codebase
• search_codebase
• learn_codebase_intelligence
• get_project_blueprint
• get_semantic_insights
• get_pattern_recommendations
• predict_coding_approach
• get_developer_profile
• contribute_insights
• auto_learn_if_needed
• get_system_status
• get_intelligence_metrics
• get_p

Tested with

Claude Desktop, Claude Code CLI, GitHub Copilot

Example client config

{\n  "mcpServers": {\n    "in-memoria": {\n      "command": "npx",\n      "args": ["in-memoria", "server"]\n    }\n  }\n}

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.