A curated map of memory for AI agents — the systems, benchmarks, and research that give LLM and multimodal agents long-term context, persistent recall, and the ability to improve from experience.
👀 Open-source resources (e.g. papers with reproducible code publicly available on Github) are marked in bold font and ranked higher.
🧭 Start Here
| If you want to… | Jump to |
|---|---|
| Add a memory layer to an agent you're building | 💿 Products |
| Choose a benchmark to evaluate a memory system | 📏 Benchmarks |
| Get oriented in the field | 📖 Tutorials · 📚 Surveys |
| Follow research on memory architectures | 🔤 Nonparametric Memory · 🔢 Parametric Memory |
| Build agents that learn from experience | 📈 Memory for Agent Evolution |
| Protect agent memory from poisoning and abuse | 🔒 Memory Security & Defense |
📋 How this list is curated
- Open-source products are ordered by GitHub star count — an objective, CI-checked popularity signal, not a quality ranking or an endorsement. Products with fewer than 100 stars sit in a collapsed Emerging projects section and graduate into the main list once they cross that threshold.
- Bold marks resources with reproducible code publicly available.
- Descriptions are factual, not promotional (see the contributing guide).
- This list is maintained by Bloo-Mind AI and the Ubiquitous AGI team at TeleAI. Entries affiliated with the maintainers are marked with † and follow the same ranking, format, and style rules as every other entry. One convention applies to all entries regardless of affiliation: an API-compatible drop-in replacement for a listed product is nested under that product as an unranked sub-item rather than given its own star-ranked position.
- Projects that are inactive, archived, or whose claims are disputed move to the Archival subsection with a neutral status label, links to the evidence, and the date the status was last checked.
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