Open source alternatives to how-it-works
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 how-it-works
how-it-works
Explain how claude-mem captures observations
how-it-works is a skill from the claude-mem project that explains how claude-mem captures observations, when memory is injected, and where the data lives. claude-mem gives Claude Code a persistent memory across sessions. Every Read, Edit and Bash action that Claude takes becomes a compressed observation. Observations are summarized when a session ends, and the relevant ones are injected automatically into later prompts, so the next session starts with context from the previous one without re-explaining the codebase or re-discovering past decisions. Memory injection begins in a project's second session. The first session in a new project seeds the memory, and an optional learn-codebase command can load the whole repository into memory in one pass, which takes about five minutes. All data stays in a claude-mem folder in the user's home directory on the local machine, including the SQLite database, the vector index, logs and settings. Data leaves the machine only in calls to the AI provider the user has configured for compression, which can be Claude, OpenRouter or Gemini. A local install contacts cmem.ai once at sign-up to create the sign-in link, and nothing else is sent there.
- Price
- Free
- Made by
- thedotmack
- Category
- AI Skills
- Website
- github.com/thedotmack/claude-mem/how-it-works