context-mode and capy

These appear to be **competitors** — both claim to provide a privacy-first virtualization layer for MCP context, suggesting they offer overlapping functionality for the same use case, though one (capy) appears to be unmaintained or abandoned given its zero adoption metrics.

context-mode

Verified

capy

Experimental

Maintenance 25/25

Adoption 20/25

Maturity 20/25

Community 18/25

Maintenance 13/25

Adoption 0/25

Maturity 9/25

Community 0/25

Stars: 5,190

Forks: 317

Downloads: 49,557

Commits (30d): 427

Language: JavaScript

License: —

Stars: —

Forks: —

Downloads: —

Commits (30d): 0

Language: Shell

License: —

No risk flags

No Package No Dependents

About context-mode

mksglu/context-mode

Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.

This project helps developers and technical users working with AI agents to manage conversational context more effectively. It takes raw output from developer tools like Playwright or GitHub issues and distills it into highly compressed, relevant information, significantly reducing the amount of data an AI agent needs to process. The ideal user is a developer who programs AI agents and frequently encounters issues with context window limits or an AI forgetting previous tasks and edits.

AI-agent-development developer-productivity context-management AI-programming LLM-tooling

About capy

serpro69/capy

Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.

Related comparisons

context-mode and dynatrace-mcp context-mode and jules-mcp

Scores updated daily from GitHub, PyPI, and npm data. How scores work