Graphiti vs LangChain

Graphiti is an open-source framework for building and querying temporal context graphs for AI agents. It records validity periods for facts, allowing applications to ask what is true now or what was true at a previous point in time. New structured and unstructured information is integrated incrementally rather than requiring a complete graph rebuild. Derived entities and relationships remain linked to their source episodes for provenance. Retrieval combines semantic search, keyword search, and graph traversal, with result reranking. Developers can define entity and edge types with Pydantic models or let structure emerge from incoming data. Supported graph backends listed by the project are Neo4j, FalkorDB, and Amazon Neptune; Kuzu is deprecated. Graphiti includes FastAPI REST and MCP services, supports several LLM providers, runs locally, and is self-hosted. It requires Python 3.10 or newer and an LLM API key. The Apache-2.0 framework is free.

LangChain is a free, MIT-licensed open-source framework for building agents with models and tools. Its create_agent harness combines a model, tools, prompt and middleware, with templates for common uses and a ReAct pattern. Middleware can add human approval, conversation compression, sensitive-data removal, guardrails, retries, routing and custom tool policies. Agents run on LangGraph’s durable runtime, which supports persistence, rewind, checkpointing and human-in-the-loop workflows. LangChain documents more than 1,000 integrations across chat and embedding models, tools, toolkits, document loaders and vector stores. Standard interfaces for chat models and embeddings support switching providers with minimal code changes. Documentation covers Python and JavaScript/TypeScript. LangSmith adds tracing, debugging and output evaluation. The framework supports API and self-hosted use. LangChain was started in 2023 and is headquartered in San Francisco.