Ross ROSS = Recommend OSS · open-source software intelligence for agents

Deepractice/PromptX

PromptX · 领先的AI 智能体上下文平台 | PromptX · Leading AI Agent Context Platform observed · 2026-08-28

github.com/Deepractice/PromptX · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

71/100

  • Activity 82
  • Release rhythm 79
  • Longevity 34
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 1
  • age_days: 477
  • days_rel: 143
  • days_push: 108
  • n_releases_24m: 52

Full methodology

Adoption not part of the score

3688 stars · 309 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PromptX is an AI Agent Context Platform built on the Model Context Protocol (MCP) that injects professional AI roles, a cognitive memory system, and sandboxed tools into MCP-enabled applications like Claude Desktop and Cursor. It ships as a desktop app, npm package, or Docker container running an MCP server on port 5203.

Use cases

  • give claude desktop persistent memory across conversations
  • create custom expert personas for my ai assistant
  • add professional ai roles to cursor
  • run an mcp server with sandboxed tools for file and document operations
  • build custom tools for ai agents without writing much code
  • replace rag with semantic memory for my ai agent
  • remember user context and learning progress in ai tutoring

When to choose

  • you use MCP-enabled apps like Claude Desktop or Cursor and want roles, memory, and tools
  • you want engram-based cognitive memory instead of chunk-and-search RAG
  • you need a sandboxed runtime for AI-executed tools defined in YAML

When to avoid

  • you need a hosted cloud solution with no local components
  • your AI client does not support the Model Context Protocol
  • you only need simple prompt templates without memory or tooling

Facets

service · maturity active

mcp agent-framework rag chatbot prompt-engineering artificial-intelligence large-language-models developer-tools cross-platform self-hosted mcp-server ai-roles cognitive-memory toolx sandboxed-tools engram-memory claude-desktop cursor ai-agents nodejs docker desktop

5 sources

Member repositories

RepositoryRoleHealth v2
Deepractice/PromptXmain71

For agents

markdown · JSON · MCP: product_card(name="Deepractice/PromptX")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem