Open source alternatives to memory-discipline
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
More AI Skills apps
modelcontextprotocol/server-memory
Knowledge graph-based persistent memory for maintaining context
netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics
Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
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