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MemPalace vs Modal
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | Open-source AI memory system that stores full conversations and project data locally without cloud dependencies. Organizes memories into a hierarchical "palace" structure, achieves 96.6% recall on LongMemEval benchmarks (highest scoring), supports MCP integration and works offline with local LLMs. | Cloud platform for running AI inference, training, and sandboxed agent workloads with instant auto-scaling. | |
| Category | |||
| Developer | milla-jovovich | Modal Labs | |
| Verified Status | No | No | |
| Last Updated | Aug 2026 | Aug 2026 | |
| Pricing | |||
| Pricing Model | Free | Freemium | |
| Free Plan | Yes | No | |
| Free Trial | — | No | |
| Open Source | No | No | |
| Capabilities | |||
| API Access | — | No | |
| Features | • Verbatim conversation storage — no summarizing, extracting, or paraphrasing of stored text • 96.6% recall@5 on the LongMemEval benchmark, fully local with zero API calls • Structured index: people/projects organized as "wings", topics as "rooms" • Pluggable storage backend • Dedicated retention setup path for Claude Code's 30-day session expiry • Free and open source, distributed via GitHub and PyPI | • Sub-10ms latency LLM and multi-modal inference • Multi-node training up to 128 B200 GPUs • Isolated sandboxes for agents and untrusted code • Auto-scales from zero to 1,000+ GPUs • Python-based SDK for code-first deployment • $30/month free compute, then usage-based pricing | |
| Tags | mempalaceopensourcememorysystemstores | gpu-cloudai-inferencemodel-trainingserverless-computeai-infrastructure | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 58 | 2 | |
| Quality Score | 62/100 | 32/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | github.com | modal.com | |
| Social Links | 1 linked | 3 linked | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Free to use | • Free to use | |
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