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
(HAM) Memory system for AI coding agents. Cut token usage by 80% by scoping context to directories.
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.
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.
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
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
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.
Artifact layer for agent-human representations. One API call, one SVG. Zero dependencies, renders in any markdown.
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.
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
Mine your Claude Code and Codex logs into a local you.md agent profile.
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
Tool-to-Agent Protocol: tools can be smart without embedded LLM calls.
On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search.
OKF (Open Knowledge Format) — curated catalog of tools, plugins, skills, proposals, and docs for agent-friendly knowledge. YAML-driven, agent-searchable, MCP-ready.
Persistent memory for AI coding agents: automatic capture, explainable recall, knowledge consolidation, privacy controls, and portable offline storage. One Python file, zero dependencies.
🧠 The Brain for Your AI — Local-first memory engine for AI agents. Store, recall, and search memories with semantic embeddings. Single Rust binary, zero config, fully offline.