Tag: #memory
38 packages โข โญ 23,621 total stars
Hindsight: Agent Memory That Learns
AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
Conversation memory SDK โ query meeting transcripts, decisions, and action items from any AI agent or application
OpenClaw Supermemory lets to have long-term memory and recall for your openclaw agent.
Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, SHA-256 tamper detection, 17 MCP tools.
Self-evolving cognitive memory and context engine for AI agents in Java. Empowering 24/7 proactive agents like OpenClaw with understanding and SOTA performance.
Give your AI agents persistent memory.
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
Procedural memory for AI coding agents: transforms scattered session history into persistent, cross-agent memory so every agent learns from every other
Compact, efficient, and extensible long-term memory for LLM agents.
Organization-as-Code for autonomous AI agents. Brain-inspired memory that grows, consolidates, and forgets. Multi-model (Claude/Codex/Gemini/Cursor/Ollama).
Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB โ just markdown + git sync.
Memory that remembers the story not just the facts. Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.
Persistent agents for Claude Code as a plugin, not a harness. Memory, personality, messaging across WhatsApp, Telegram, and Discord, plus a service mode for 24/7 runs. Imports from OpenClaw.
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
Lightweight persistent memory system for Claude Code โ FTS5 search, episode batching, error-triggered recall
Personal OS agent that learns who you are, detects life patterns, and grows smarter about you every day. Memory + Cron + Atropos RL
A highly customizable personal AI assistant for Discord featuring smart agentic AI features such as memory, personas, tool usage, and more! ๏ฝ ้ทๆ่จๆถใใใซใฝใใใใผใซ้ฃๆบใๅฎๅใ ๆฌกไธไปฃใฎใ่ชๅพๅAIใจใผใธใงใณใใDiscordใใใ๏ผ
Description: Self-hosted graph-based associative memory for personal AI agents. Spreading activation, emotional weighting, zero LLM cost.
Modular multi-agent orchestration framework powered by LangGraph and FastAPI.
Multi-agent code review mesh โ orchestrates AI agents from multiple providers to review code in parallel, cross-review each other's findings, and build accuracy profiles over time. Agents that catch r
Hermes Agent rewritten in Rust: production-grade multi-platform AI agent runtime with gateway adapters, tool orchestration, MCP, memory plugins, and cost-safe autonomous loops.
Graph-based workflow enforcement and persistent memory for AI coding agents. Define structured workflows in YAML. Enforce them at tool boundaries via MCP. Build a persistent knowledge graph that grow
Autonomous AI agent memory system with CLAUDE.md protocol enforcement
An AI guardian that remembers, watches, and acts.
๐ ๏ธ Simplify your tasks with MineContext, an open-source AI tool that provides context-aware support for clarity and efficiency in work and study.
Track and manage AI personality changes, rules, and memories with full version control and easy reversibility.
Multi-agent memory intelligence layer โ shared knowledge, expertise tracking, and conflict detection for AI agent teams
Persistent structured memory for AI agent systems โ pluggable SQLite or Postgres backend, LLM context bridge
Persistent memory layer for AI agent workflows
AI agent in your terminal โ 3-tier memory, 16 tools, automation pipeline, bring your own model. Learns who you are, remembers across sessions.
Local-first AI agent runtime. One command, your machine, your data.
TypeScript SDK for MemLib โ AI agent memory API
Context window auto-manager for free AI agent users. Your 200K context, maximized.
Long-term memory system for OpenClaw AI Agent
12 native protocol layers for AI-agent systems. No wrappers. No SDK dependencies.
Folder-as-neuron brain for any AI agent. mkdir replaces system prompts.