dsh-memory
Provides a white‑box AGI framework that combines self‑cognition loops, continual learning, and a world‑model graph for fully auditable AI pipelines.
- •You need an open‑source, self‑improving AI core that you can inspect and modify.
- •Your product requires a traceable knowledge‑flywheel that continuously incorporates new data.
- •You want to experiment with meta‑cognitive loops (self‑awareness) without relying on proprietary LLM APIs.
curl -X POST http://localhost:8000/api/v1/think \
-H 'Content-Type: application/json' \
-d '{"question": "What are the emerging trends in sustainable fintech for 2025?", "context": "latest market reports, internal research"}'Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/5775defd-afc4-4502-a3dc-f19178f02fec && curl -fsSL https://workflowstacks.com/api/skills/5775defd-afc4-4502-a3dc-f19178f02fec/claude-skill -o ~/.claude/skills/5775defd-afc4-4502-a3dc-f19178f02fec/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Dsh-memory is a very large Python project (~387k lines across 737 code files, plus 115 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2src/cli.tsWhere the program starts running
- 3skills/README.mdInside skills/ — an example of what the AI is told to do
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/5775defd-afc4-4502-a3dc-f19178f02fec && curl -fsSL https://workflowstacks.com/api/skills/5775defd-afc4-4502-a3dc-f19178f02fec/claude-skill -o ~/.claude/skills/5775defd-afc4-4502-a3dc-f19178f02fec/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Show it off in your README:
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
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