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LightRAG vs EverOS vs Graphiti

Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.

LightRAG vs EverOS vs Graphiti, side by side
LightRAGby HKU Data Science LabRemove LightRAG from this comparisonEverOSby EverMindRemove EverOS from this comparisonGraphitiby Zep AIRemove Graphiti from this comparison
Sets it apart
  • No auth required
  • Newest listing (added Oct 4, 2026)
  • Only one with an MCP server
  • No auth required
What it isBuilds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server.Gives agents a local-first memory layer that stores conversations, files and trajectories as Markdown, indexes them in SQLite and LanceDB, and serves recall over a local REST API.Builds temporally aware knowledge graphs for agents in real time, tracking when each fact became true so memory reflects change instead of overwriting it.
ProviderHKU Data Science LabEverMindZep AI
Official vendorNot an official listingSame for all
VerifiedYesSame for all
AccessAPI, CLIAPI, CLIAPI, MCP
AuthNoneAPI KeyNone
MCP serverNo MCP serverNo MCP serverIn its setup guide
CLI installIn its docsIn its docsNo CLI
API base URLIn its docsSame for all
SkillsGraph Index, Hybrid Query, Incremental Update, API ServingMemory REST API, Markdown Source of Truth, Knowledge Wiki, Offline ReflectionTemporal Knowledge Graph, Incremental Ingestion, Hybrid Retrieval
StreamingNoSame for all
Push notificationsNoSame for all
CategoriesMemory & State, Research & Knowledge, Vector DatabasesMemory & StateMemory & State
Tagsgraph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backendagent-memory, markdown, local-first, sqlite, lancedb, python, knowledge-wiki, evermindtemporal-graph, bi-temporal-model, incremental-updates, fact-invalidation, hybrid-retrieval, agent-memory
Listed sinceSep 18, 2026Oct 4, 2026Jul 25, 2026
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/compare?a=lightrag&b=everos&c=graphiti
3 listings side by side · "same" marks a row every column shares
listings
lightragapi+cliNo auth requiredeverosapi+cliNewest listing (added Oct 4, 2026)graphitiapi+mcpOnly one with an MCP server; No auth required
rows
descriptionBuilds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server. | Gives agents a local-first memory layer that stores conversations, files and trajectories as Markdown, indexes them in SQLite and LanceDB, and serves recall over a local REST API. | Builds temporally aware knowledge graphs for agents in real time, tracking when each fact became true so memory reflects change instead of overwriting it.
providerHKU Data Science Lab | EverMind | Zep AI
official (same)Not an official listing
verified (same)Yes
accessAPI, CLI | API, CLI | API, MCP
authNone | API Key | None
mcpNo MCP server | No MCP server | In its setup guide
cliIn its docs | In its docs | No CLI
api (same)In its docs
skillsGraph Index, Hybrid Query, Incremental Update, API Serving | Memory REST API, Markdown Source of Truth, Knowledge Wiki, Offline Reflection | Temporal Knowledge Graph, Incremental Ingestion, Hybrid Retrieval
streaming (same)No
push (same)No
categoriesMemory & State, Research & Knowledge, Vector Databases | Memory & State | Memory & State
tagsgraph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backend | agent-memory, markdown, local-first, sqlite, lancedb, python, knowledge-wiki, evermind | temporal-graph, bi-temporal-model, incremental-updates, fact-invalidation, hybrid-retrieval, agent-memory
addedSep 18, 2026 | Oct 4, 2026 | Jul 25, 2026
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