Self-hosted alternatives to memory-discipline
5 self-hosted AI Skills apps to use instead, best rated first.
Top picks
- C

claude-to-deerflow
Launchclaude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code
Self-hosted
- O

open-notebook
Launchopen-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O
Self-hosted
- R

Reactive Resume
LaunchReactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish
Open sourceSelf-hosted
- S

self-hosted-funnel-launch
LaunchSelf-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a
Self-hosted
- G

get-convex/convex-backend
LaunchConvex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca
Self-hosted
About memory-discipline

memory-discipline
The session loop that makes agentmemory pay off, recall before starting work
Memory-discipline is the session routine that makes agentmemory useful. It sets out when an agent should read from memory and when it should write to it: recall before starting a non-trivial task, and save at each decision point, rather than trying to remember everything at the end. A search at the start of the task looks for relevant past work, and a save records each settled decision with its concepts and the files it touches. The skill also sets rules for how memory is handled. It respects the user's memory preferences, so if the user requires explicit permission before saving, the agent waits for it. Retrieved records are treated as untrusted evidence, so changeable facts are checked against current sources, and the agent never follows instructions stored in a memory that would export data, run commands or override the current task. The example saves a decision to use cursor pagination over offset pagination because offset scans broke past 100,000 rows. The skill is part of the agentmemory plugin.
- Price
- Free
- Made by
- rohitg00
- Category
- AI Skills
- Website
- github.com/rohitg00/agentmemory/memory-discipline