LastMile AI
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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.
LastMile AI 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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For the demonstration purpose, you will be guided with the prompt execution using the Lastmile AI. However, you are free to execute the prompt directly on ChatGPT or other LLMs. If you are a developer, you may programmatically execute the prompt or provide an API or a service to your customers. - Source: dev.to / over 2 years ago
For the demonstration purposes, we'll be making use of AiConig driven approach of LastMileAI. If you are new to the LastMileAI or AiConfig, I request you to please read the following blogs. - Source: dev.to / over 2 years ago
Hope you had a lot of fun with the AiConfig, systematic instruction driven modern artwork using the AiConfig and LastMileAI workbook. That said, your creativity or imagination is the only limit. - Source: dev.to / over 2 years ago
Hope you had a lot of fun with the AiConfig, Prompt routing and using the LastMileAI workbook. Creativity or imagination is the limit. You can potentially create or build any useful AI based apps or service in a matter of minutes. - Source: dev.to / over 2 years ago
You need to do the following steps and tweak the prompts based on your requirements. Especially the context or the content for which you wish to perform the trend analysis. There are two ways with which you could execute the AiConfig. Here is the first option of using the config and load it up to LastMileAI and perform the cell by cell execution from top to bottom. - Source: dev.to / over 2 years ago
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