Graphiti VS Waydev

Compare Graphiti VS Waydev and see what are their differences

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Graphiti

Build personalized AI agents that learn from dynamic data

Waydev

Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.

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2023-09-13

Waydev helps managers to move from a feeling driven to a data-driven approach. Waydev includes concrete metrics for your daily stand-ups, 1-to-1 meetings, checking the history of the engineers work and benchmarking your stats with the industry.

Graphiti

Website: github.com
Pricing URL: -
$ Details: -
Platforms: -
Release Date: -

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Waydev

Website: waydev.co
Pricing URL: Official Waydev Pricing
$ Details: freemium $449 / Annually (per active engineer)
Platforms: Windows Browser Mac OSX Linux REST API PHP
Release Date: 2019 January

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Graphiti features and specs

No features have been listed yet.

Waydev features and specs

Comprehensive analytics
Waydev provides in-depth insights into codebase productivity and helps teams understand their development patterns and bottlenecks through cohesive reports and dashboards.
Integration capabilities
Waydev seamlessly integrates with various popular platforms such as GitHub, GitLab, Bitbucket, Azure DevOps, and more, making it versatile across different development environments.
Team performance monitoring
It allows managers to monitor team performance in real-time and identify areas where developers are excelling or may need support, fostering a data-driven approach to team management.
Historical insights
Waydev offers historical data analysis, allowing teams to track progress over time and measure the impact of changes or new processes on productivity.
Automated reporting
The platform can generate automated reports, saving time for managers and providing consistent metrics for evaluation and decision-making.

Possible disadvantages of Waydev

Cost
Some users may find Waydev's pricing to be on the higher side, especially smaller teams or startups with tight budgets.
Learning curve
Waydev's advanced features and extensive data may require a learning period for users to become proficient in navigating and interpreting the tools and reports effectively.
Privacy concerns
As Waydev analyzes detailed code and performance metrics, some team members may feel uncomfortable with the level of monitoring and data tracking involved.
Data dependency
The accuracy and usefulness of Waydev's insights are heavily dependent on the quality and completeness of the data integrated from the various source platforms.
Limited customization
While Waydev offers a range of standard reports and metrics, some users might find that it lacks the flexibility to fully customize analytics or dashboards to fit unique needs or preferences.

Analysis of Graphiti

Overall verdict

Graphiti is a well-regarded open-source framework for building real-time, temporally-aware knowledge graphs, particularly useful for AI agents and applications that need persistent, evolving memory. It's actively maintained by Zep and has gained solid traction in the LLM and agent development community.

Why this product is good

Purpose-built for real-time knowledge graphs that update incrementally without full recomputation
Temporal awareness lets it track how facts and relationships change over time
Designed specifically for AI agent memory, enabling more context-aware and persistent applications
Integrates with LLMs and supports hybrid retrieval (semantic, keyword, and graph-based search)
Open-source with active development and backing from Zep, plus growing community adoption
Scalable architecture suitable for production use cases involving dynamic data

Recommended for

Developers building AI agents that need long-term, evolving memory
Teams creating LLM-powered applications requiring context-aware retrieval
Projects needing temporally-aware knowledge graphs that track changes over time
Use cases involving dynamic, frequently-updated data rather than static datasets
Engineers exploring alternatives to traditional RAG for more structured, relational context

Graphiti videos

+ Add

What is Graphiti Temporal Knowledge Graph?

Waydev videos

+ Add

Waydev Demo

Category Popularity

0-100% (relative to Graphiti and Waydev)

Graphiti

Waydev

Developer Tools

21 21%

Developer Tools

79% 79

Analytics

0 0%

Analytics

100% 100

100 100%

0% 0

Productivity

0 0%

Productivity

100% 100

User comments

Share your experience with using Graphiti and Waydev. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Graphiti should be more popular than Waydev. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Graphiti mentions (9)

Your AI Agent Forgets Everything After Every Session. Graphiti Fixes That.
Graphiti is an open-source framework by Zep for building and querying temporal context graphs for AI agents. It's the engine behind Zep's managed memory platform, but it's fully usable standalone. - Source: dev.to / 2 months ago
I Tested 33 AI Memory Engines — Here's What Actually Works
Graphiti by Zep is the temporal knowledge graph. Its core insight: knowing the current state isn't enough. You need to know when things changed and what was true before. - Source: dev.to / 3 months ago
I Built Two Ollama Tools I Don't Actually Need Yet
Several services share the same Ollama instance on a dedicated host that homelab-agent is provisioning: LibreChat for interactive chat, a SearXNG MCP server for ML-reranked search, and three background embedding jobs — graphiti, jobsearch-mcp, and memsearch-watch. - Source: dev.to / 4 months ago
I Benchmarked Graphiti vs Mem0: The Hidden Cost of Context Blindness in AI Memory
It started with a 35,000-token "Master Prompt" that she maintained manually in Notion. Every time something changed in her life, she updated it by hand. That obviously didn't scale. So I moved to Graphiti, a knowledge graph framework that extracts entities and relationships from conversations automatically. - Source: dev.to / 5 months ago
Show HN: A file-based agent memory framework that works like skill
- *[Zep](https://github.com/getzep/graphiti)* uses graphs, which handle structure well but add complexity and maintenance overhead. - Source: Hacker News / 8 months ago

Waydev mentions (2)

Which project management tools implement agile development?
For example, in our traditional approach, every step and process is defined and has to be adhered to. Any change has to go through multiple approvals. The scope in itself has a very limited scope or flexibility towards change. I am on the fence looking for resources and tools that will help to slowly execute and implement these changes. With regards to resources, I am currently looking at the scrum guide and with... Source: about 4 years ago
How is Software Development Analytics increasing Engineering Efficiency?
When you’re ready to translate data into greater visibility, and this visibility into faster, more efficient teams, you can start looking at development analytics platforms like Waydev. - Source: dev.to / almost 5 years ago

What are some alternatives?

When comparing Graphiti and Waydev, you can also consider the following products

kgai.dev - Local-first immutable knowledge graph of engineering decisions - a memory plugin for Claude Code.

LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.

cognee - Memory for AI Agents

GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.

OpenAI - GPT-3 access without the wait

Swarmia - Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.