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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 16 days ago, with 64 contributors on GitHub.
Peaked at #98 in the weekly ranking the week of Oct 12, its best in the past year.
Use Cases & Benefits
- Builds and queries real-time, temporally-aware knowledge graphs tailored for AI agents in dynamic environments.
- Enables continuous incremental updates and efficient hybrid retrieval combining semantic, keyword, and graph-based search with precise historical context.
- Use for integrating and maintaining dynamic user interactions and enterprise data in AI agent memory systems.
- Use for enabling state-based reasoning and task automation in AI agents requiring evolving knowledge representation.
- Use for querying complex, time-sensitive data with low-latency hybrid search in interactive, context-aware AI applications.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
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General guidance from repository metadata, not legal advice. How we score
From the README
:star: Help us reach more developers and grow the Graphiti community. Star this repo!
Graphiti is a framework for building and querying temporally-aware knowledge graphs, specifically tailored for AI agents operating in dynamic environments. Unlike traditional retrieval-augmented generation (RAG) methods, Graphiti continuously integrates user interactions, structured and unstructured enterprise data, and external information into a coherent, queryable graph. The framework supports incremental data updates, efficient retrieval, and precise historical queries without requiring complete graph recomputation, making it suitable for developing interactive, context-aware AI applications.
A knowledge graph is a network of interconnected facts, such as "Kendra loves Adidas shoes." Each fact is a "triplet" represented by two entities, or nodes ("Kendra", "Adidas shoes"), and their relationship, or edge ("loves"). Knowledge Graphs have been explored extensively for information retrieval. What makes Graphiti unique is its ability to autonomously build a knowledge graph while handling changing relationships and maintaining historical context.
Graphiti powers the core of Zep, a turn-key context engineering platform for AI Agents. Zep offers agent memory, Graph RAG for dynamic data, and context retrieval and assembly.
Using Graphiti, we've demonstrated Zep is the State of the Art in Agent Memory.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
3.3K+345
Open issues
547+79
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| NVIDIA/auto-ontology | 11.4K | +8.5K | 75 | — |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| DietrichGebert/ponytail | 188.4K | +4.4K | 75 | 12 days ago |
| affaan-m/ECC | 300.8K | +4.3K | 75 | 40 days ago |
| Graphify-Labs/graphify | 145.7K | +3.8K | 75 | today |
| getzep/graphiti | 32.6K | — | 64 | 16 days ago |
| Category median | 145.7K | +4.4K | 75 | — |
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