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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.
CryptoTrader.Tax
ContextForge.devContextForge.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.
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Exodus can produce a API file that you can download into cryptotrader.tax. That's what I do and it reports every trade and staking rewards. I have been doing this for 2 consecutive years and it works great! Source: about 4 years ago
Did you try cryptotrader.tax. They recently changed their name to Coin Ledger. I was able to pull the cvs that I needed from Nexo and just load them in. In fact you can load all the exchanges and this software will figure it out the cost basis for you. I would not attempt to do it manually. Source: about 4 years ago
Got the 8949 from cryptotrader.tax. It gave me the list of trades I did with gains and losses. Source: about 4 years ago
Oh also found out about cryptotrader.tax it's been a lifesaver. What I was using before made it seems like I made some insane amount in crypto when there was no way I did. This got everything looking right and did all the math for me. Bit pricy ($100 to get the final info) but well worth the math help using it. So one more tool to get correct info I need to file :). Source: about 4 years ago
Sorry, it was cryptotrader.tax , It took all my trades from all of my 6 applications I use and basically summarized my gains/losses. Source: about 4 years ago
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