memory system

io.clawhub.dennis-da-menace/agent-memory

Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.

io.clawhub.icemilo414/cognitive-memory

Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audit.

io.clawhub.weareallsatoshin/openclaw-mem

Manage, optimize, and troubleshoot the OpenClaw memory system — MEMORY.md curation, daily logs (memory/YYYY-MM-DD.md), memory_search tuning.

io.clawhub.ad2546/context-optimizer

Advanced context management with auto-compaction and dynamic context optimization for DeepSeek's 64k context window. Features intelligent compaction (merging, summarizing, extracting), query-aware relevance scoring, and hierarchical memory system with context archive. Logs optimization events to chat.

io.clawhub.g9pedro/clawvault

Agent memory system with memory graph, context profiles, checkpoint/recover, structured storage, semantic search, observational memory, task tracking.

io.clawhub.impkind/hippocampus-memory

Persistent memory system for AI agents. Automatic encoding, decay, and semantic reinforcement — just like the hippocampus in your brain. Based on Stanford Generative Agents (Park et al., 2023).

io.clawhub.kellyclaudeai/memory-system-v2

Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to recall prior work/decisions.

io.clawhub.atlaspa/openclaw-memory

Persistent, locally stored semantic memory for agents with automatic learning, searchable facts, and optional paid unlimited retention across all sessions.

io.clawhub.mourad-ghafiri/git-notes-memory

Git-Notes-Based knowledge graph memory system. Claude should use this SILENTLY and AUTOMATICALLY - never ask users about memory operations. Branch-aware persistent memory using git notes. Handles context, decisions, tasks, and learnings across sessions.

io.clawhub.jujitao/memory-never-forget

Memory system v4.13: Dual-layer structure (todos for execution + knowledge for strategy) with Dream/Refinement memory mechanisms.

io.clawhub.ktpriyatham/triple-memory

Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.

io.clawhub.nkhoit/llm-wiki

LLM-maintained personal knowledge base. Compile raw sources into a structured markdown wiki, auto-lint for consistency, serve as a browsable website.

io.clawhub.clawcolab/clawbrain

Claw Brain - Personal AI Memory System for OpenClaw/ClawDBot.

io.clawhub.impkind/hippocampus

Persistent memory system for AI agents. Automatic encoding, decay, and semantic reinforcement — just like the hippocampus in your brain. Based on Stanford Generative Agents (Park et al., 2023).

io.clawhub.daoistbro/memory-system

自研三层记忆恢复系统。解决session重启后"忘记一切"的问题，提供永久记忆、今日记忆、临时记忆的完整架构。

io.clawhub.belkouche/vestige

Cognitive memory system using FSRS-6 spaced repetition. Memories fade naturally like human memory. Use for persistent recall across sessions.

io.clawhub.xqicxx/thinking-model-enhancer

Advanced thinking model that improves decision-making speed and accuracy. Integrates with memory system to compare and integrate previous thinking models for continuous enhancement.

io.clawhub.clawdbrunner/hybrid-memory

Hybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), or search memory files. Provides decision framework for when to use memory_search vs Graphiti.

io.clawhub.justinhartbiz/dory-memory

File-based memory system for AI agents that forget between sessions. Implements the "Dory-Proof" pattern for continuity across context resets. Use when setting up agent memory, building workspace structure, implementing task tracking, or preventing context-loss errors. Triggers on "memory system", "remember between sessions", "Dory pattern", "agent continuity", or "workspace setup".

io.clawhub.ktpriyatham/triple-memory-skill

Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.

io.clawhub.lhmiles/elite-longterm-memory-local

Local vector memory system with LanceDB + Pure JS embedding. No native modules or external APIs required.

io.clawhub.maverick-software/surrealdb-knowledge-graph-memory

A comprehensive knowledge graph memory system with semantic search, episodic memory, working memory, automatic context injection, and per-agent isolation.

io.clawhub.hargabyte/chaos-mind

Hybrid search memory system for AI agents. Manual search and storage - auto-capture is opt-in only.