#1 AIUnknown
engram — alternative #1 to nucleus-mcp
📇 🏠 🍎 🪟 🐧 - Local-first persistent memory for AI agents. SQLite + local embeddings (all-MiniLM-L6-v2), hybrid semantic + FTS5 recall, secret...
GitHub source
Recorded alternatives
Alternatives to nucleus-mcp
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
#2 AIUnknown
piia-engram — alternative #2 to nucleus-mcp
🐍 🏠 🍎 🪟 🐧 - Persistent user identity across AI tools. Stores preferences, lessons, and decisions as local JSON; 13 core MCP tools share them...
GitHub source
#3 AIUnknown
threadctx-mcp — alternative #3 to nucleus-mcp
📇 🏠 ☁️ 🍎 🪟 🐧 - Shared team memory for AI coding agents. Decisions, fixes, and gotchas persist per repo and are shared across Claude Code, Cu...
GitHub source
#4 AIUnknown
Agent-Memory-OS — alternative #4 to nucleus-mcp
🐍 🏠 🍎 🪟 🐧 - Local-first memory engine for AI-agent teams: private/team/project ACL (a hard gate before ranking), associative recall, and fed...
GitHub source
#5 AIUnknown
agenthelm — alternative #5 to nucleus-mcp
📇 🐍 ☁️ 🏠 🍎 🪟 🐧 - Shared, versioned memory and governance control plane for AI coding agents. Compiler pipeline resolves architectural decisi...
GitHub source
#6 AIUnknown
maxaeo-ai-visibility-mcp — alternative #6 to nucleus-mcp
📇 🏠 🍎 🪟 🐧 - Local-first AI visibility, GEO/AEO, and llms.txt audit MCP server for Claude, Codex, Cursor, and other agents. Checks AI crawler...
GitHub source
#7 AIUnknown
unclick — alternative #7 to nucleus-mcp
📇 🏠 🍎 🪟 🐧 - The universal remote for AI: one MCP install gives any compatible agent 450+ callable endpoints across 60+ integrations, plus pe...
GitHub source
#8 AIUnknown
data-profiler-mcp — alternative #8 to nucleus-mcp
🐍 🏠 🍎 🪟 🐧 - Profiles tabular data files (CSV, TSV, Parquet, Excel, JSON) for LLM agents: one-call dataset overview, per-column statistics, a...
GitHub source
Questions about this page
How were these alternatives selected?
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
Are these alternatives ranked by payment?
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with nucleus-mcp directly — Oryxen records pricing classes, not live quotes.