Lightweight agent orchestration dev tool that lives in your repo

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

(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.

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

Your durable workspace across AI agents.

Shared Memory Storage for Multi-Agent Systems

Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.

Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding

Shared context, memory, and task coordination across AI coding agents. Single Go binary, local SQLite, hybrid keyword and semantic search.

AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.

Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253

Git-native memory for coding agents. Repo memory before the diff.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

Your coding agent starts every session blank. Rekal is the memory your team is missing

Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git sync.