NirDiamant / Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Purpose and fit
Author description: Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Basic listing based on official public information; functionality has not been independently evaluated.
Sources: official source 1 · official source 2. Based on public basic information; not an in-depth evaluation.
- Browse by purpose
- Retrieval-augmented generation · Databases
- Platform
- Not verified
- Pricing
- Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
Star trend (estimated)
Includes estimates from GitHub star history, excluded from net-growth rankings. Removed stars are absent and day boundaries are not guaranteed UTC; estimates are not historical end-of-day net totals.Repository info
Repository stars, not unique users or individual-skill installs
- Type
- Apps & systems
- Subcategory
- Databases & search
- Platform
- Not verified
- First collected
- 2026-11-03
- Language
- Jupyter Notebook
- License
- Apache-2.0 · Permissive
- Repository created
- 2026-05-05
- Last push
- 2026-11-01
- Measured at
- 2026-11-02 19:03 UTC
- Pricing
- Pricing not verified
- Cost details
- Check current official software, hosting, model and infrastructure pricing.
- Maintenance notes
- Not verified
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.
Tags
Historical observations
Raw observations below are not daily gains.
| Measured at | stars | Source |
|---|---|---|
| 2026-11-02 19:03:41 UTC | 1,131 | Source |