Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.
Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowchart/graph before the agent begins writing code.
Local code intelligence MCP server and CLI for AI coding agents
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
Open-source local-first cognitive memory. AGM-compliant belief revision (49/49 postulates). When a fact changes, downstream beliefs are automatically re-evaluated, not just flagged.
AI builder operating system. Turn Claude Code from a per-session tool into a workspace that remembers, maintains itself, and never goes stale. BASE = Builder's Automated State Engine.
Memory and context manager just works.
An experimental GitHub MCP server with local database.
Headless knowledge base with bidirectional Markdown sync
Markdown and OFM SDK w/ MCP server that transforms your Obsidian vault into an intelligent knowledge system
SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
Framework for AI agents to build and maintain a digital brain through Obsidian wiki
Fastest way to scaffold your LLM powered personal knowledge base - Obsidian, Claude Code, qmd, Github
Second Brain automation for Obsidian vaults — entity management, ingestion, compression, and sync via Claude Code skills
Compiles AI agent traces and truns them into reusable context.
Score any document. Prove every claim.
Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253
Context engine for large codebases, exposed through MCP. Gives AI coding agents precise repository context; benchmarked at frontier-agent quality with ~25x lower model cost and 45% fewer tokens with semantic search.
A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
Understand any codebase instantly. System intelligence for codebases, built for humans and AI.
Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.
The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Plugin, agent skills, and a GitHub Action.