AI Tool

Selvedge Review

Selvedge is a local MCP server for AI coding agents that saves context on code changes and decision-making processes, allowing users to retrieve past decisions in future sessions.

shipped Sep 28, 2026agentsfreemium

Domain rating35

agentscoderesearch

Why it matters

1Functions as a local MCP server for AI coding agents.

2Records context on code changes and decision-making processes.

3Enables retrieval of past decision context in future sessions.

4Offers an Open Source tier, providing free access.

About Selvedge

Business Model

Open Source

Funding

Bootstrapped

Platforms

Web

Target Audience

Developers and coding teams

Pricing Plans

Open Source

Free

• Local storage in SQLite
• No LLM calls
• Install instructions provided
• Connect multiple agents

Leadership

Mason Delan

GitHubOpen Source

overview

What is Selvedge?

Selvedge is a local Multi-Context Persistence (MCP) server tool that enables developers and coding teams to save context on code changes and decision-making processes for AI coding agents. It allows users to retrieve the context of their past decisions in future sessions, facilitating continuity and historical review in development workflows. The platform is designed to store data locally without requiring a subscription, supporting compatibility with various coding agents.

features

Key Features of Selvedge

Selvedge provides a suite of features designed to enhance the contextual memory of AI coding agents and support developer workflows. These capabilities focus on recording, retrieving, and managing decision-making processes within code development.

Record why code changes were made, capturing the rationale behind modifications.
Revisit decisions when conditions change, enabling adaptive development.
Store data locally without subscription, ensuring data sovereignty and cost efficiency.
Compatible with multiple coding agents, including Claude Code, Codex, Copilot, Cursor, Gemini CLI, and Windsurf.
Saves context on code changes and decision-making processes for persistent memory.
Allows users to retrieve the context of their past decisions in future sessions.

use cases

Who Should Use Selvedge?

Selvedge is primarily designed for developers and coding teams who utilize AI coding agents and require a robust system for managing and retrieving contextual information related to code changes and decision-making. Its local storage and agent compatibility make it suitable for various development scenarios.

Developers tracking decision-making processes in code to maintain project history and rationale.
Coding teams revisiting past coding decisions to understand historical context and adapt to new requirements.
Individuals and teams maintaining project-specific coding methods and standards through persistent context.

how to use

How to Use Selvedge

Selvedge operates as a local MCP server, integrating with existing AI coding agents to capture and store contextual information. Users can initiate the server and configure their agents to leverage Selvedge's memory capabilities.

1Install the Selvedge server locally on your development environment.
2Configure your preferred AI coding agent (e.g., Claude Code, Copilot) to connect with the Selvedge server.
3As code changes are made and decisions are taken, Selvedge automatically records the context.
4Utilize Selvedge's retrieval mechanisms to access past decision context in subsequent coding sessions.
5Review historical context to inform new coding decisions or understand previous rationale.

pricing

Selvedge Pricing & Plans

Selvedge operates on a freemium business model, offering an open-source tier that provides full functionality without cost. This model allows users to deploy and utilize the local MCP server for free, with no stated subscription fees for its core capabilities.

Open Source: Free (Includes all core features for local context saving and retrieval).

Pros

+Provides local storage of context, ensuring data privacy and control without subscription.
+Specifically designed to save context on code changes and decision-making processes for AI agents.
+Enables retrieval of past decisions, supporting historical review and continuity in development.
+Compatible with a range of popular AI coding agents, including Claude Code, Copilot, and Gemini CLI.
+Offers an open-source tier, making its core functionality freely accessible.

Cons

−Primarily focused on code change and decision context, potentially lacking broader knowledge graph capabilities found in some competitors.
−As a local server, it requires user setup and management, which might be less convenient than cloud-based solutions.
−The current feature set does not explicitly mention advanced analytics or visualization tools for context data.
−Relies on integration with existing coding agent CLIs, rather than offering a standalone, comprehensive agent environment.

Similar Tools

Selvedge vs Competitors

Selvedge distinguishes itself within the AI agent memory and context management landscape through its focus on local MCP server functionality for code changes and decision-making. While several tools address agent memory, Selvedge's approach emphasizes direct context saving and retrieval.

CogneeOn Stork

Builds persistent codebase memory for AI coding agents as a knowledge graph, enabling reasoning over relationships between code artifacts.

Selvedge focuses on saving context on code changes and decision-making. Cognee specifically uses a knowledge graph to represent codebase structure and relationships, which might offer more structured and relational context than a general context saving mechanism.

OpenContext↗

A personal context/knowledge store for AI assistants that reuses existing coding agent CLIs and adds a GUI and built-in skills.

Selvedge is an MCP server. OpenContext is a personal context store that integrates with existing CLIs and provides a GUI, potentially offering a more user-friendly interface for managing context directly.

OpenViking↗

Organizes agent context (knowledge, memory, skills) as a virtual filesystem that agents can navigate and inspect.

Selvedge saves context on code changes and decisions. OpenViking provides a unique filesystem-like interface for agents to interact with their context, which could offer a more organized and explorable memory structure.

Repowise↗

An MCP server that feeds codebase structure, dependency graphs, Git history, and code health scores to AI coding agents for deep understanding.

Selvedge saves general context on code changes and decisions. Repowise specifically focuses on providing a rich, structured understanding of the codebase itself, including architectural and historical data, which could lead to more informed agent decisions.

Mem0On Stork

A standalone memory layer for AI agents that dynamically extracts, consolidates, and retrieves important information using a multi-store architecture.

Selvedge is an MCP server focused on saving context from code changes and decisions. Mem0 is a more general-purpose memory layer that agents can integrate with for persistent, dynamic information retrieval, potentially offering broader memory capabilities beyond just coding context.

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GitHubgithub.com/masondelan/selvedge