Blog
The Remnus Blog
Thoughts on open source, AI-native tooling, and building in public.
MCP Security Guide: OAuth, Tokens, Scopes, and Audit Logs
A verified guide to MCP security: the threat model (malicious servers, prompt injection, excessive permissions, credential leakage), OAuth and PATs, least privilege, destructive-action confirmation, audit logs, and how Remnus applies each control.
How to Run Headless AI Agents Without Login Prompts
A practical, verified guide to authenticating headless AI agents against a Remnus workspace: OAuth vs personal access tokens, secure token storage, minimum-permission scopes, and a real headless Claude Code example.
AI Agent Memory vs RAG vs Context Windows
A technical comparison of context windows, retrieval-augmented generation, and persistent agent memory: primary-source definitions, a direct comparison table, and where to store what in a real project.
Why Coding Agents Forget Your Project Between Sessions
Why Claude Code, Cursor, and Codex lose project context between sessions, and how instruction files, documentation, task tracking, and memory combine into a context system that actually persists.
How Remnus Uses OKF to Give AI Agents Better Context
How Remnus combines portable OKF knowledge, exact-revision human review, Context Pack v2, and Smart or Strict MCP policies for AI agents.
How to Let an AI Agent Manage Your Kanban Board
Learn how to use an AI kanban board safely with agent-assisted triage, task updates, human approvals, MCP workflows, prompts, and failure controls.
AI Agent Project Management: The Complete Guide
A practical guide to AI agent project management: realistic responsibilities, human oversight, project lifecycles, safeguards, and MCP-enabled workflows.
How to Connect OpenAI Codex to Remnus with MCP
Connect OpenAI Codex to a Remnus MCP workspace for requirements, tasks, decisions, documentation, status reports, and durable agent memory.
How to Connect Cursor to Remnus with MCP
Connect Cursor to a Remnus workspace over MCP: verified mcp.json setup, OAuth vs personal access tokens, global vs project config, five workflows, and troubleshooting.
What Is an MCP-Native Workspace? A Complete Guide
An MCP-native workspace is built for AI agents from the start: readable, writable, scoped, and audited over the Model Context Protocol. Here is how the model works and where it fits.
How to Connect Claude Code to Remnus with MCP
A verified, step-by-step guide to connecting Claude Code to a Remnus workspace over MCP — OAuth vs personal access tokens, scopes, first workflows, and troubleshooting.
How to Give Claude Code Persistent Memory and a Shared Workspace
Learn how to combine Claude Code memory, CLAUDE.md, project tasks, and an MCP workspace for reliable long-running software work.
How Many Tokens Does Your Agent Burn Reading Your Notes?
A measured look at agent workspace reads, plus how projection, outlines, digest, delta sync, and OKF-aware Context Pack v2 control context cost.
Remnus vs Notion: Full Comparison
An honest, fact-checked look at Remnus vs Notion: workspace features, MCP authentication, agent tooling, pricing tiers, and audit trails.
Remnus vs AppFlowy: Full Comparison
A fact-checked comparison of two AGPL-3.0 Notion alternatives: AppFlowy's mature editor versus Remnus's first-party MCP server and agent tooling.
Remnus vs AFFiNE: Full Comparison
A fact-checked comparison of AFFiNE's mature editor and offline-first design against Remnus's first-party MCP server and open self-hosting.
Remnus vs Obsidian: Full Comparison
A fact-checked comparison of Obsidian's local-first notes and plugin ecosystem against Remnus's first-party MCP server for team workspaces.
How I Built Remnus, an MCP-Native Open-Source Workspace
The build story, from the headless agent that Notion's MCP could not run to the token contract that made Remnus.
MCP-Native vs MCP-Integrated
Two architectural approaches to AI agent access and why the distinction matters.
Why We Chose AGPL-3.0 for Remnus
Licensing philosophy: why not MIT, why not BSL, and what AGPL actually protects.