Cipher Tutorial: Shared Memory Layer for Coding Agents

Learn how to use campfirein/cipher as a memory-centric MCP-enabled layer that preserves and shares coding context across IDEs, agents, and teams.

Why This Track Matters

As teams use multiple coding agents, memory continuity becomes a bottleneck. Cipher provides a memory layer with MCP integration, vector stores, and workspace memory for cross-tool continuity.

This track focuses on:

• Cipher modes (CLI, API, MCP, UI)
• dual-memory and reasoning-memory workflows
• vector store and embedding configuration
• MCP server modes and production deployment controls

Current Snapshot (auto-updated)

• repository: campfirein/cipher
• stars: about 4.7k
• latest release: v3.12.0 (published 2026-05-09)

Mental Model

flowchart LR
    A[Agent Request] --> B[Cipher MCP/API Layer]
    B --> C[Memory Extraction and Search]
    C --> D[Vector Store + Workspace Memory]
    D --> E[Context Returned to Agent]

Chapter Guide

Chapter	Key Question	Outcome
01 - Getting Started	How do I install and run Cipher quickly?	Working baseline
02 - Core Modes and Session Workflow	How do CLI/API/MCP/UI modes differ?	Correct mode selection
03 - Memory Architecture and Data Model	How does Cipher store knowledge and reasoning memory?	Strong memory mental model
04 - Configuration, Providers, and Embeddings	How do I configure LLM and embedding stacks?	Reliable config strategy
05 - Vector Stores and Workspace Memory	How do persistence and team memory layers work?	Scalable storage architecture
06 - MCP Integration Patterns	How do I connect Cipher to MCP clients and IDEs?	Cross-tool integration model
07 - Deployment and Operations Modes	How do I run Cipher in local/dev/prod setups?	Deployment baseline
08 - Security and Team Governance	How do I govern memory operations safely?	Production governance model

What You Will Learn

• how to run Cipher as a shared memory service across coding tools
• how to configure embeddings, vector stores, and transport modes
• how to connect and secure MCP integrations across IDEs
• how to govern team memory usage and deployment operations

Source References

• Cipher Repository
• Cipher README
• Configuration guide
• MCP integration guide
• CLI reference

Related Tutorials

• gptme Tutorial
• OpenSkills Tutorial
• OpenCode Tutorial
• MCP Servers Tutorial

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Start with Chapter 1: Getting Started.

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Full Chapter Map

1. Chapter 1: Getting Started
2. Chapter 2: Core Modes and Session Workflow
3. Chapter 3: Memory Architecture and Data Model
4. Chapter 4: Configuration, Providers, and Embeddings
5. Chapter 5: Vector Stores and Workspace Memory
6. Chapter 6: MCP Integration Patterns
7. Chapter 7: Deployment and Operations Modes
8. Chapter 8: Security and Team Governance

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