AI · alternatives · 2026
24 alternatives to Spydr
Github for LLM context. One memory, infinite possibilities.
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.
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Unabyss▲715MCP-native self-updating context layer for your AI
May 2026 · unabyss.com · its alternatives →
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OpenMemory MCP▲379Sync memory across AI's so they pick up where you left off.
2025 · mem0.ai · its alternatives →
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Your memories, in every LLM you use.
2025 · mcp.supermemory.ai · its alternatives →
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Context Gateway▲220We 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 →
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Contextberg▲102Turn your work into AI agent memory, served over MCP
May 2026 · contextberg.com · its alternatives →
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I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
2025 · github.com · its alternatives →
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N71free tier, from $49/mo▲141Give all your AI agents one shared context
Jul 2026 · n71.ai · its alternatives →
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This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time. Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text. Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude/GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo. If time works, what else could we surface? - Location /…
2025 · github.com · its alternatives →
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Free MCP for security AI: live BGP, DNS, threat graph
May 2026 · whisper.security · its alternatives →
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Context Sync▲95Persistent AI memory across Claude Desktop & Cursor IDE
Oct 2025 · github.com · its alternatives →
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The context manager and skills library for marketing teams
Apr 2026 · promptr.ai · its alternatives →
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AI Memory Context Solved
Jan 2026 · github.com · its alternatives →
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Local, portable, + open source context across all LLMs
Jun 2026 · its alternatives →
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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 →
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Shared persistent memory across all your LLMs.
2025 · teamlayer.xyz · its alternatives →
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An open-source MCP plugin (300,000+ developers) and a commercial Platform that builds Solutions on top. context-mode keeps raw data out of the LLM context window. Insight surfaces what your team is doing with the saved tokens.
Jun 2026 · context-mode.com · its alternatives →
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Run Lanes Link as your own personal context MCP: your accounts, memory, skills and secrets behind one endpoint you host, reachable by every AI agent you use.
Sep 2026 · lanes.sh · its alternatives →
- 21CA
Current AI chat assistants face a fundamental challenge: context management in long conversations. While current LLM apps use multiple separate conversations to bypass context limits, a truly human-like AI assistant should maintain a single, coherent conversation thread, making efficient context management critical. Although modern LLMs have longer contexts, they still suffer from the long-context problem (e.g. context rot problem) - reasoning ability decreases as context grows longer. Memory-based systems have been invented to alleviate the context rot problem, however, memory-based…
Nov 2025 · its alternatives →
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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 →
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AO2 Memory▲17Portable context for every AI. Never explain yourself twice.
Jun 2026 · ao2.ai · its alternatives →
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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 →