Eidentic - Agents That Learn Across Sessions

TypeScript SDK for agents with self-improving temporal memory

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Updated Jul 2026 · Added Jul 2026

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What is Eidentic?

Eidentic is a TypeScript SDK for building AI agents with self-improving memory using a temporal knowledge graph. It learns across sessions, provides durable runs with enforced cost ceilings, and includes evals in CI - production fundamentals built-in rather than bolted on. Support agents and other applications can recall past sessions with citations and continuously improve their performance with minimal token overhead.

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Key Features of Eidentic

Temporal knowledge graph that learns across sessions
Durable runs with enforced cost ceilings
Built-in evals in CI
Session-based memory recall with citations
Per-turn cost tracking
Supports multiple LLM providers (OpenAI, Anthropic, Google, Mistral)
Multiple storage backends (SQLite, libSQL, Turso, Postgres, pgvector)
Vector backend support (Qdrant, LanceDB, Pinecone)
Works on Node, Bun, Deno, and Edge runtimes
NextJS, React, and server integration packages
Facts have validity over time with contradiction resolution

Who Should Use Eidentic?

Build support agents that remember customer history across sessions

Develop AI agents with persistent long-term memory

Create applications that improve performance over time

Build serverless and edge-compatible agent systems

Integrate AI agents into Next.js and React applications

Implement cost-controlled AI agent deployments

Eidentic: Pros & Cons

✓Pros

55.2% memory performance improvement over competitors on LongMemEval
Up to 39× fewer tokens per query
Open source with Apache-2.0 license
Flexible architecture supporting multiple LLM and storage providers
Edge and serverless compatible
Built-in cost tracking and enforcement
Works across multiple JavaScript runtimes

Frequently Asked Questions about Eidentic

What is Eidentic?

Eidentic is a TypeScript SDK for building AI agents with self-improving memory using a temporal knowledge graph. It provides production fundamentals like durable runs, cost ceilings, and CI evals built-in.

Which LLM providers does Eidentic support?

Eidentic supports OpenAI, Anthropic, Google, and Mistral as model providers, and you can bring your own model.

What storage options are available?

Eidentic supports SQLite, libSQL, Turso, Postgres with pgvector, and other backends like Qdrant, LanceDB, and Pinecone for vector storage.

What JavaScript runtimes can run Eidentic?

Eidentic runs on Node, Bun, Deno, and Edge runtimes, with dedicated packages for Next.js and React.

How much does Eidentic cost?

Eidentic is open source under the Apache-2.0 license and is free to use.