Crystal (programming language)
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ContextForge.dev
Agentmemory
OpenMemory MCP
ContextForge is persistent, searchable memory for AI coding agents โ built on the Model Context Protocol (MCP).
Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client recalls it later with semantic search โ across sessions and across projects.
Works with: Claude Code, Claude Desktop, Cursor, GitHub Copilot, ChatGPT, and Windsurf.
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ContextForge.dev's answer:
ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once โ Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf โ not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing โ all through a single MCP server you add with one command.
ContextForge.dev's answer:
Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.
ContextForge.dev's answer:
Software developers and engineering teams who use AI coding assistants โ Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf โ and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.
ContextForge.dev's answer:
ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol โ so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.
ContextForge.dev's answer:
Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.
Based on our record, Crystal (programming language) seems to be more popular. It has been mentiond 123 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Which can include type assertions but also a lot more. The agents seem to do well with this. I've also had good results using agents to write Crystal https://crystal-lang.org/ which is Ruby-like but does have the static types and produces blazing fast static binaries. Might be a sweet spot for coding agents if you're building some backend services. But I'd still pick Ruby on Rails for a new full stack project. - Source: Hacker News / about 2 months ago
Sounds a lot like Crystal, which is also similar to Ruby and features a green fiber runtime: https://crystal-lang.org/#concurrency. - Source: Hacker News / 2 months ago
> 1. Go with a better type system. A compiled language, that has sum types, no-nil, and generics. I was looking for something like that and eventually found Crystal (https://crystal-lang.org) as a closest match: LLVM compiled, strong static typing with explicit nulls and very good type inference, stackfull coroutines, channels etc. - Source: Hacker News / 5 months ago
Wondering why https://crystal-lang.org/ hasn't been mentioned in the comments. - Source: Hacker News / 8 months ago
> What kind of code snippets could you suggest? Anything really! Some websites that do this currently: https://ziglang.org, https://crystal-lang.org and https://www.ruby-lang.org/en > I have a comparison table mentioning features Yes - I did see this in the README. Maybe worth adding it, or something similar to the website. - Source: Hacker News / 9 months ago
Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
Agentmemory - Persistent memory for Claude Code, Codex & coding agents
Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...
OpenMemory MCP - Your private, local memory layer for all AI tools
V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation