agent-memory
Garry's Opinionated OpenClaw/Hermes Agent Brain.
Your AI agent is smart but it doesn't know anything about your life. GBrain fixes that. Meetings, emails, tweets, calendar events, voice calls, original ideas... all of it flows into a searchable knowledge base that your agent reads before every response and writes to after every conversation. The agent gets smarter every day.
Open Agent Harness.
OpenHarness delivers core lightweight agent infrastructure: tool-use, skills, memory, and multi-agent coordination.
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The highest-scoring AI memory system ever benchmarked. And it's free.
Every conversation you have with an AI — every decision, every debugging session, every architecture debate — disappears when the session ends. Six months of work, gone. You start over every time.
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The secret to good memory isn't remembering more. It's knowing what to forget.
Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies.
our Own AI Co-Worker. Its own computer.
Phantom deploys to a dedicated machine, learns from every conversation, and evolves its own capabilities. Open source. Self-hosted or managed.
Cognitive architecture for Claude Code — persistent memory, self-reflection, and foresight.
A plain-text cognitive architecture for Claude Code — simple by design, so the model can reason over its own memory with the same Unix tools (grep, find, git diff) it already knows.
Give Claude Code a subconscious.
A background agent that whispers to Claude Code. A Letta agent that watches your sessions, reads your files, builds up memory over time, and whispers guidance back.
The Context File System for AI Agents. A Context DataBase for AI Agents.
Memory, Resource, Skill. Everything is a File.
Agent Memory That Learns.
Hindsightâ„¢ is an agent memory system built to create smarter agents that learn over time. Most agent memory systems focus on recalling conversation history. Hindsight is focused on making agents that learn, not just remember.
Memory Management Kit for Agents - Remember Me, Refine Me.
🧠ReMe is a memory management framework built for AI agents, offering both file-based and vector-based memory systems.
It addresses two core problems of agent memory: limited context windows (early information gets truncated or lost during long conversations) and stateless sessions (new conversations cannot inherit history and always start from scratch).
ReMe gives agents real memory — old conversations are automatically condensed, important information is persisted, and the next conversation can recall it automatically.
Memory for Proactive 24/7 Agents.
MemU powers autonomous AI agents with persistent, evolving memory. Continuously predict user intentions, act proactively, and work for you — even while you sleep.