Alternatives to Caura Memclaw

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

Cognee gives AI agents persistent knowledge-graph memory with cited recall across sessions, teams, and tools.

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

Memori is an LLM-agnostic agent memory gateway that turns every execution trace into persistent, governed memory and procedural recall.

MemoryLake is portable AI memory for ChatGPT, Claude, Codex and Gemini — encrypted, exportable, and shared across every agent you run.

AtomicMemory is a self-hosted, auditable AI agent memory engine with deterministic replay.

Local-first agent memory and secrets layer that gives Claude Code, Codex, and OpenCode one shared context on your own machine.

Memtrace is a shared code-map memory layer that keeps multiple AI coding agents reading one live structural map of your repository.

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

Open-source, self-hosted AI agent memory runtime with governance policies and tamper-evident audit receipts.

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

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

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.

Zero-LLM persistent agent memory — Hebbian learning and decay curves in a single 30MB Rust binary.

Build governed AI agent memory with Zep's temporal context graph and dated, traceable facts

Hebbrix is outcome-weighted persistent memory for AI agents — it recalls what actually worked, not what merely sounds related.

Agentmemory gives coding agents shared, local memory across Claude Code, Cursor, Codex and 22 other 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

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

Archil mounts S3, GCS, or NFS live as a POSIX filesystem so AI agents get durable disks, sandboxes, and serverless tool calls.

Local-first AI agent memory in one pip install: SQLite-backed recall with sub-millisecond queries and no cloud account.

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

ALIVE is a free, MIT-licensed local context manager that gives Claude Code durable, file-based project memory across sessions.

Dedalus Labs boots persistent Linux VMs for AI agents in under 50ms, billed per second with idle time free.

Stash is a shared memory your connected AI tools can recall in the next conversation.

Distill trims LLM agent context with deterministic semantic dedup and compression in ~12ms — no LLM calls, same input every time.

Open-source local-first AI memory that stores every conversation verbatim in a method-of-loci palace on your machine.

Open YAML agent memory: one shared engram store for Claude Code, Cursor, Windsurf, and Codex

TrueMemory gives CLI coding agents persistent, local-first memory recall in about 55ms — one file, zero cloud.