Personal context management for AI assistants

Helping coding agents never make mistakes working with public or private libraries without wasting the context window.

OKF-powered knowledge context for Claude Code — injects your project's knowledge base at every session

Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.

Plugin for JADX to integrate MCP server

Git-native slide format, Agent API, CLI, MCP server, and renderer

Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.

A Claude Code plugin that interviews you, designs the whole architecture, and writes a self-contained blueprint another Claude Code instance builds from with zero context — EARS acceptance criteria and a runnable verify command on every build step. 14 project shapes, greenfield and brownfield. EN/ES.

A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal Engine through the native C++ Automation Bridge plugin. Built with TypeScript and C++.

Local-first AI agent runtime with sandboxed sessions, MCP tools, memory, credentials, audit/replay, and a built-in console. Run OpenAI, Anthropic, MiniMax, DeepSeek V4, and OpenAI-compatible models on your infrastructure.

iCloud for AI Agents — cross-agent sessions, skills, memory, and vault.

Local-first AI agent runtime with sandboxed sessions, MCP tools, memory, credentials, audit/replay, and a built-in console. Run OpenAI, Anthropic, MiniMax, DeepSeek V4, and OpenAI-compatible models on your infrastructure.

Apso CLI

Graph memory for AI agents — decisions, context, and session history that survive across every conversation. Works with any LLM.

DeepSeek Harness 的 TencentDB Agent Memory 移植：L0 对话捕获 → L1 结构化记忆提取 → L2 场景/L3 画像，自动召回注入 + 记忆/对话搜索工具；复用现有 ~/.memory-tencentdb/memory-tdai 数据；附 Web UI 设置栏。

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

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

Your First LLM-Wiki Conversation Knowledge Base

Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.

The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management, AI second brain, and durable Claude Code / Codex / OpenClaw memory.

Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.

AI memory layer — one shared, persistent memory across every AI tool you connect.

One shared context your team's AI tools read & write over MCP. No re-explaining. Free.

Full-featured, multi-account MCP email server for Windows, macOS, and Linux—read, search, organize, and send email via IMAP and SMTP.