Alternatives to Vectorize

Mem0 is an AI memory layer that gives agents persistent context across sessions, users and apps

Cavemem gives MCP coding agents persistent memory on local SQLite — recall across sessions without re-reading files.

Agent memory that stops Claude Code and Cursor repeating failed fixes

CogniMemo is an API-first persistent memory layer that gives your AI agents structured long-term recall across sessions.

Letta builds stateful AI agents with persistent memory that survives sessions, model swaps, and machines.

Hosted MCP and REST memory that keeps AI agent context consistent across ChatGPT, Claude, Codex, and your own agents.

Persistent memory for Python AI agents, with versioning, shared memory across agent teams, and loop detection that pauses runaway agents before the token bill

Glen is organizational memory for AI coding agents — it injects prior sessions and Slack context into every prompt.

Open-source graph memory engine for sentence-level AI agent recall across sessions

Jumbo.Cli gives AI coding agents persistent project memory from a local-first CLI, so you stop re-onboarding Claude Code every session.

Cognee is open-source agent memory that turns scattered company data into a cited knowledge graph agents can recall.

Zep is the enterprise context layer that gives AI agents governed memory built on temporal context graphs.

MemOS gives AI agents persistent long-term memory via a millisecond cloud API or a fully local runtime.

DataGrout is an operating layer for production AI agents: persistent memory, real-time cost control, and cryptographic receipts for every action.

Shared memory for Claude Code teams—decisions, handoffs, and context persist across sessions and people.

Outcome-weighted persistent memory for AI agents that keeps what actually worked, not what merely sounds related.

Persistent local memory for coding agents: Claude Code, Cursor and Codex share one searchable store.

Open-source MCP memory layer that gives AI agents a graph plus vector store so recall carries relationships, not just similar text.

Long-term memory for AI agents: one process_turn call stores each turn and returns the memories your next prompt needs.

Open-source Postgres memory engine for AI agents that sends memory conflicts to a human instead of overwriting them.

Local-first persistent memory for AI agents with a forgetting curve, open source and MCP-compatible.

Three markdown files that give any AI coding agent persistent memory between sessions — no framework, no database, just git.

memU gives Codex, Claude, Cursor and other agents one shared, inspectable memory layer with source-linked recall.

Self-hosted layer that gives your AI coding agents shared memory, managed MCP tools, and cross-model audit.

Athena Public is a persistent memory layer that keeps your AI project context alive across sessions and IDEs.

Local-first memory layer that gives your AI coding agent a SQLite file it can recall from between sessions.

Open-source dual-brain memory for real-time voice agents, streaming memory retrieval that adds roughly 300 tokens per turn

Blaxel runs autonomous AI agents in persistent microVM sandboxes that resume in ~25ms with full memory intact.

Open-source, local-first memory palace that gives AI assistants verbatim recall across sessions, stored entirely on your own machine.

Self-hosted context layer for LLM agents: deterministic semantic dedup and compression in ~12ms, no LLM calls.