Graphiti
A temporal knowledge graph framework for AI agents that tracks how information evolves
- Also known as
- graphiti
What is Graphiti?
A software framework that helps build and query knowledge graphs where information is timestamped and tracked for changes over time. It maintains the source origin of each fact and enables retrieving information through multiple search methods.
Graphiti pricing
We don't have Graphiti's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What Graphiti does
The capabilities that matter for agent memory, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Open source self hosted
- Graph based entity relationship extraction
- ✓
- Automatic context window rolling summarization
- -
- Semantic vs episodic event chronological memory
- ✓
- Cross session and multi thread user persistence
- -
- Memory conflict resolution and fact updating
- ✓
- Multi tenant user and agent isolation
- -
- Native langchain and llamaindex memory classes
- -
- Time decay and recency weighted retrieval
- -
- Zero data retention and pii redaction layer
- -
- SOC2 type ii
- -
- Mit or apache permissive oss license
- -
- Pricing model
- Free open source
Platform & deployment
Independently observed- CLI
- Web
- Self-hosted
Integrations (5)
Independently observed- Neo4j
- FalkorDB
- Google Gemini
- OpenAI
- Anthropic
Security & compliance
Known vulnerabilities: 1 (1 in the last 12 months), max severity HIGH sourcea count reflects scale & disclosure, not quality
Graphiti FAQ
Common questions about Graphiti, answered from independent, dated evidence.
What is Graphiti?
An open-source framework that enables AI agents to build and query context graphs with historical awareness. Unlike static knowledge graphs, Graphiti's context graphs preserve how information changes over time and maintain provenance to source data, supporting both semantic and graph-based retrieval across evolving real-world data. It is indexed under Agent Memory.
Source: https://github.com/pricing
Is Graphiti free to use?
Graphiti is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.
Source: https://github.com/pricing
What platforms does Graphiti support?
Graphiti supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://github.com/pricing
Can Graphiti be self-hosted?
Yes. Graphiti can be deployed on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://github.com/pricing
What does Graphiti integrate with?
We have confirmed 5 integrations for Graphiti, including Neo4j, FalkorDB, Google Gemini, OpenAI and Anthropic. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://github.com/pricing
Is Graphiti open source?
Yes. Graphiti is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Graphiti alternatives
Other agent memory we track, ranked by the same independent score.
- CogneeGraph-based memory layer enabling AI agents to retain and recall information across sessionslow · 25%
- SupermemoryA memory engine that enables AI agents to learn and remember across conversations, injecting relevant context into any model in real-time.low · 44%
- ZepA platform that organizes enterprise information into knowledge graphs for AI agentsmedium · 55%
- Mastralow · 44%
- MemaryAn open-source memory system that augments autonomous agents with persistent knowledge graphs to overcome context window limitationslow · 19%
- Mem0Memory infrastructure that enables AI agents and applications to retain and recall information across multiple sessions and contextsmedium · 53%
Compare Graphiti
Side by side against other agent memory, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Graphiti, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 97 | 0.08 | 7.9 | ✓ |
| Development activity | 50 | 0.14 | 6.8 | ✓ |
| Capabilities | 58 | 0.08 | 4.6 | ✓ |
| Stars | 85 | 0.05 | 4.0 | ✓ |
| Integrations | 22 | 0.05 | 1.2 | ✓ |
| Dependent projects | 0 | 0.05 | 0.0 | ✓ |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 39 | mediumsource · 2026-10-14 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 66% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Pricing model: free_open_source · Architecture model: open_source_self_hosted · Graph based entity relationship extraction: Yes · Memory conflict resolution and fact updating: Yes · Semantic vs episodic event chronological memory: Yes | mediumsource · 2026-10-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 5 | mediumsource · 2026-10-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-14 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-10-14 · 95% |
Pricing
Release
Security
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