nowfound

AI · alternatives · 2026

24 alternatives to Contextberg

Turn your work into AI agent memory, served over MCP

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io · its alternatives →

  2. 2

    Reusable AI Memory for Smarter Prompts Anywhere

    Nov 2025 · chromewebstore.google.com · its alternatives →

  3. 3

    Sync memory across AI's so they pick up where you left off.

    2025 · mem0.ai · its alternatives →

  4. 4

    Persistent AI memory across Claude Desktop & Cursor IDE

    Oct 2025 · github.com · its alternatives →

  5. 5

    Portable memory for agent workflows

    Apr 2026 · x.com · its alternatives →

  6. 6

    The context layer for AI agents

    2025 · contextone.ai · its alternatives →

  7. 7
    Pensieve▲133

    Full company context for every AI agent

    Mar 2026 · pensieve.uk · its alternatives →

  8. 8
    N71free tier, from $49/mo▲141

    Give all your AI agents one shared context

    Jul 2026 · n71.ai · its alternatives →

  9. 9IB

    I released ContextChat, an AI chat designed to be context-centric, helping you stay focused and productive by giving you control over the information your AI sees. You can import websites, files, and public/private GitHub repos to give the AI full knowledge of your projects. Unlike other chatbots, ContextChat lets you easily switch between project contexts, so you get relevant answers and avoid the noise. It's pay-per-use, giving you flexibility and control over costs and free models are available so you can try it for free with no monthly subscriptions. Let me know your feedback!

    2025 · contextch.at · its alternatives →

  10. 10

    The memory layer for AI agents

    Jul 2026 · kitforai.com · its alternatives →

  11. 11

    We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…

    Mar 2026 · github.com · its alternatives →

  12. 12
    Spydr▲139

    Github for LLM context. One memory, infinite possibilities.

    2025 · spydr.dev · its alternatives →

  13. 13

    An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory

    Aug 2026 · github.com · its alternatives →

  14. 14

    AI agent memory, everywhere. claude-mem is open-source memory for Claude Code; cmem links it to any MCP client — Cursor, Codex, more — via one private link.

    Dec 2025 · cmem.ai · its alternatives →

  15. 15

    Hey HN, After using a bunch of agents, my friend and I noticed a major issue: an agent could spend a bunch of time solving a tricky task, but when the session ended all that knowledge vanishes. Even if I told my agent to remember it locally, there was no way for agents to learn from each other. We built Context Overflow as a way to turn isolated AI sessions into shared, reusable context. With Context Overflow, agents can: - Search through past solutions when starting a task - Ask questions when they get stuck - Share findings when they solve a non-trivial problem We support a variety of ways…

    Mar 2026 · ctxoverflow.dev · its alternatives →

  16. 16

    Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…

    2025 · github.com · its alternatives →

  17. 17

    AI Memory Context Solved

    Jan 2026 · github.com · its alternatives →

  18. 18

    Enable agents to keep context & work across apps + sessions

    Jun 2026 · walrus.xyz · its alternatives →

  19. 19

    Open Source Context Infrastructure for AI Agents

    May 2026 · ravbyte-ai.github.io · its alternatives →

  20. 20

    Connect AI agents to governed metadata via MCP

    Jan 2026 · dawiso.com · its alternatives →

  21. 21

    Become the Context Layer for modern AI systems.

    Jul 2026 · context.web.id · its alternatives →

  22. 22

    Model Context Protocol (MCP) is a new open standard that gives AI agents a universal interface to external tools and data. Discover how MCP empowers more powerful, autonomous AI assistants to perform real-world tasks seamlessly.

    2024 · agnt.one · its alternatives →

  23. 23

    Give eyes and ears to your agents

    Aug 2026 · contextforclaude.com · its alternatives →

  24. 24

    Persistent, project-local memory for AI coding agent via MCP

    Aug 2026 · opencntx.dev · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →