Open source alternatives to hindsight-docs
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
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About hindsight-docs
hindsight-docs
Complete Hindsight documentation for AI agents
hindsight-docs is an agent skill that gives the complete technical documentation for Hindsight, a memory system for AI agents. It is for learning the architecture and core concepts, the retain, recall and reflect operations, and how to configure memory banks and their dispositions. It also covers setting up the Hindsight API server with Docker, Kubernetes or pip, integrating with the Python, Node.js and Rust SDKs, the retrieval strategies, which include semantic, BM25, graph and temporal retrieval, and debugging or tuning performance. The documentation is stored in reference files organised by category, and the skill points the agent to the right one for the question. Use it when you are building an agent that needs persistent memory and want accurate, current answers about how Hindsight works, rather than guesses. It is part of the vectorize-io/hindsight repository on GitHub, which has about 50,000 stars. The listing shows it as free, and it has about 8,700 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk. Install it with npx skills add https://github.com/vectorize-io/hindsight --skill hindsight-docs.
- Price
- Free
- Made by
- vectorize-io
- Category
- AI Skills
- Website
- github.com/vectorize-io/hindsight/hindsight-docs