What this groups
Memory and context layers
These entries focus on persistent agent context, skill memory, long-term recall, workspace history, and local or hosted memory services.
Theme
AI Resources
Agent memory tools for persistent AI context
A focused LifeHubber front door for memory, recall, skill-memory, and workspace-context tools already listed in AI Resources.
Use it to compare how projects frame agent memory, then open each LifeHubber overview and original source before relying on storage, privacy, setup, or retention details.
How to read it
Check what gets stored
Memory tools are not interchangeable. Compare what each project stores, how it retrieves context, and what control a user or operator keeps.
Caveat
Memory changes the privacy question
Before trying a memory layer, inspect source materials for retention, deletion, access control, hosting, and sensitive-data handling.
Discovery reference
Last updated: June 12, 2026.
Use this page as a starting point for inspection, not as an endorsement, recommendation, guarantee, or safety review. Open the source materials before relying on details such as setup, terms, limits, privacy, access, or costs.
Curated from AI Resources
Projects to inspect at the source
8Mem0
mem0ai/mem0
A memory layer for AI agents and assistants, with library, self-hosted, platform, SDK, CLI, cookbook, evaluation, and integration paths for persistent context.
Acontext
memodb-io/Acontext
An agent memory layer that distills agent-run learnings into Markdown skill files, with cloud and self-host paths, Python and TypeScript SDKs, dashboard/API surfaces, sandbox and disk tools, and cross-framework reuse.
TencentDB Agent Memory
Tencent/TencentDB-Agent-Memory
A local memory plugin for AI agents, with symbolic short-term memory, layered long-term memory, SQLite defaults, OpenClaw integration, Hermes support, and project-reported benchmark results.
ReMe
agentscope-ai/ReMe
A memory management framework for AI agents, with file-based and vector-based systems for long-term memory and cross-session recall.
Hindsight
vectorize-io/hindsight
An agent memory system designed to help agents learn over time rather than only recall conversation history.
CatchMe
HKUDS/CatchMe
A lightweight, vectorless system for capturing a broader digital footprint as usable context.
cabinet
hilash/cabinet
An AI-first knowledge base and workspace system with agents, memory, scheduled jobs, and local file-based storage.
holaOS
holaboss-ai/holaOS
A beta agent-workspace environment for recurring AI work-streams, with living workspaces, memory, history, files, apps, dashboards, runtime state, and sub-agent coordination.
Also in AI
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