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Tools/Letta vs Graphiti
Letta

Letta

framework
vs
Graphiti

Graphiti

framework

Letta vs Graphiti — Comparison

Overview
What each tool does and who it's for

Letta

Making machines that learn. Create stateful agents that remember everything, learn continuously, and improve themselves over time.

Based on the limited social mentions available, users appear to have concerns about **Letta's performance at scale**, particularly citing **200-500ms latency per operation** due to routing all memory operations through an LLM. This latency issue is seen as a significant enough problem that developers are building alternative solutions specifically to avoid it. The multiple YouTube mentions suggest there's active interest and discussion around Letta in the AI agent community. However, without detailed reviews or pricing information, it's difficult to assess overall user satisfaction or cost concerns beyond the core performance complaint.

Graphiti

Build Real-Time Knowledge Graphs for AI Agents. Contribute to getzep/graphiti development by creating an account on GitHub.

Based on the provided content, there are no reviews or social mentions specifically about "Graphiti." All the social media mentions are about GitHub Copilot, Figma, npm registry tools, and other development-related topics, but none reference a tool called "Graphiti." Without actual user feedback about Graphiti, I cannot provide a meaningful summary of user sentiment, strengths, complaints, or pricing opinions for this specific tool.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
33
21,824
GitHub Stars
24,254
2,303
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Letta

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

Letta

usage-based + subscription + tieredFree tier

Pricing found: $20 / month, $100 / month, $200 / month, $20 / month, $0.10 / active

Graphiti

per-seat + tiered
Use Cases
When to use each tool

Letta (1)

Persistent agents instead of stateless sessions

Graphiti (1)

Quick Start
Features

Only in Letta (10)

Persistent agents instead of stateless sessionsAlways improving and learningOwn your memory and port it across modelsChat from any device, run on any environmentCompatible with your API keys and coding plansInstall the desktop appUse in the terminalBuild with the SDKGet started with Letta CodeLetta Code desktop app

Only in Graphiti (10)

Build context graphs that evolve with every interaction — tracking what's true now and what was true before.Give agents rich, structured context instead of flat document chunks or raw chat history.Query across time, meaning, and relationships with hybrid retrieval (semantic + keyword + graph traversal).Python 3.10 or higherNeo4j 5.26 / FalkorDB 1.1.2 / Kuzu 0.11.2 / Amazon Neptune Database Cluster or Neptune Analytics Graph + Amazon OpenSearch Serverless collection (serves as the full text search backend)OpenAI API key (Graphiti defaults to OpenAI for LLM inference and embedding)Google Gemini, Anthropic, or Groq API key (for alternative LLM providers)Connecting to a Neo4j, Amazon Neptune, FalkorDB, or Kuzu databaseInitializing Graphiti indices and constraintsAdding episodes to the graph (both text and structured JSON)
Developer Ecosystem
47
GitHub Repos
11
754
GitHub Followers
417
20
npm Packages
13
—
HuggingFace Models
—
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

Letta

token cost (1)

Graphiti

No data yet

Product Screenshots

Letta

Letta screenshot 1Letta screenshot 2Letta screenshot 3Letta screenshot 4

Graphiti

Graphiti screenshot 1Graphiti screenshot 2Graphiti screenshot 3
Company Intel
research
Industry
information technology & services
18
Employees
6,000
$10.0M
Funding
$7.9B
Seed
Stage
Other
Supported Languages & Categories

Letta

Developer Tools

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View Letta Profile View Graphiti Profile