Memory and context manager just works.

Durable, searchable memory of your past agent sessions.

Headless knowledge base with bidirectional Markdown sync

Simple standalone MCP server giving Claude the ability to remember your conversations and learn from them over time.

Community Repo for Nowledge Labs Products

A lightweight, Git-backed permanent memory for AI agents.

Lightweight Long-Term Memory for LLM Agents.

Prismer Cloud

Persistent, provider-neutral memory for Codex, Claude Code, OpenCode, Pi, and MCP coding agents.

Complete AI Agent System for OpenClaw — memory, self-healing, self-improvement, voice, automation

Lightweight agent orchestration dev tool that lives in your repo

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning

MCP server for external memory layer for AI agents + more . Download from pypi , and get started

memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw

SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.

(HAM) Memory system for AI coding agents. Cut token usage by 80% by scoping context to directories.

Universal memory runtime for AI agents

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

A proposed convention for the .agents/ directory to prevent context bloat and improve agent reasoning in complex codebases.

30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.

Poirot is a deep research agent kernel built for those who care about how agents are architected.

Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.

Every past session, subagent, and workflow -- queryable by your agent, browsable by you

Your First LLM-Wiki Conversation Knowledge Base