Persistent memory for AI coding agents

Your AI remembers everything — architecture, decisions, patterns, progress — across every session, automatically.

$bunx codexfi install
Get StartedView on GitHub
codexfi memory flow — conversations are extracted into typed memories, stored in a vector database, and retrieved for future sessions[MEMORY] injectedarchitecturetech-contextprogresslearned-patternpreferenceOpenCode AgentImplement Auth flowusing NextAuth.jsI'll set up the providers.[Extracting architecture]Also use JWT strategy.It's a strict requirement.Updated config to JWT.[Extracting tech-context]Type a message...LanceDB Vector StoreStorage ActiveDIMENSIONS: 1024INDEX: HNSW

Everything your AI needs to remember

codexfi extracts, stores, and retrieves project knowledge automatically — so your AI agent has full context from day one.

Auto-Extraction

Automatically extracts architecture, decisions, and patterns from every conversation.

Typed Memory

10+ memory types — architecture, tech-context, progress, preferences, and more.

Semantic Search

Voyage AI embeddings find relevant context for every new task.

Compaction Survival

Memory persists through context window compaction — nothing is lost.

Zero Config

One command install. No Docker, no external database. Bring your own LLM + Voyage AI keys.

Session Continuity

Pick up exactly where you left off — your AI knows the full project history.

Local & Private

Memory storage is fully local. No cloud sync, no external persistence layer.

Smart Aging

Old memories are automatically consolidated and evolved, never duplicated.

How it works

Three steps. No ongoing maintenance. Your AI gets smarter with every session.

1

Install

One command. Works with OpenCode. No configuration needed.

$ bunx codexfi install
2

Code

You code with your AI agent as usual. codexfi silently extracts memories in the background.

3

Remember

Next session, your AI has full context. Architecture, decisions, patterns — all injected automatically.