AgentMemory vs Taranify
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
AgentMemory Agents | Taranify Agents | |
|---|---|---|
| Tagline | Open-source persistent memory runtime for AI coding agents, with hybrid retrieval and zero external dependencies. | Mood-based entertainment recommender that picks your movies, music, and books from a 30-second color quiz. |
| Category | Agents | Agents |
| Pricing | Free· Free, open-source (Apache 2.0); bring your own LLM API key | Free· 100% free, unlimited recommendations |
| Model | Multi-model (Claude, Gemini, MiniMax, OpenRouter) | Custom neural network (color-psychology) |
| Editorial score | 7.3 / 10 | 6.8 / 10 |
| Use cases | agent-memorycoding-agentscontext-managementknowledge-graphmcp-server | movie-recommendationsmusic-discoverybook-recommendationsmood-matchinggroup-picks |
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| Website | agent-memory.dev | taranify.com |
Pick AgentMemory if
- ✅ Zero external infrastructure: single Node process, JSON on disk
- ✅ Triple-stream retrieval (BM25 + vectors + graph) with sub-20ms recall
- ✅ Native plugins for Claude Code, Cursor, Cline, Windsurf, and 15+ agents
- ✅ Apache 2.0, runs on your existing LLM subscription
Pick Taranify if
- ✅ Genuinely free with no login or tracking required
- ✅ Novel color-quiz UX that takes about 30 seconds
- ✅ Group mode reconciles multiple people's moods at once
- ✅ Covers movies, TV, music, books, and food in one place