Mnemosyne gives AI applications persistent memory across sessions. Notes live as .md files on disk — readable by agents, editable in Obsidian, owned by you.
Every week, we see new agent frameworks, orchestration layers, and reasoning models. Models are getting smarter. Context windows are getting larger.
Yet AI still forgets.
Not because the models are incapable—but because most AI systems remain fundamentally stateless.
A conversation ends. Context disappears. Valuable insights vanish into vector databases few humans can inspect. Memory becomes infrastructure rather than knowledge.
I built Mnemosyne because I believe AI memory should be:
Local-first
Human-readable
Agent-accessible
Owned by the user
Instead of hiding memory inside proprietary systems, Mnemosyne stores knowledge as plain Markdown files on disk.
Your notes remain:
Editable in Obsidian
Readable by humans
Searchable by agents
Portable across frameworks
No cloud service.
No external database.
No infrastructure to manage.
Just files.
Install as AI skill
npx skills add seyhunak/mnemosyne
Why Markdown?
Markdown survived decades because it is simple, portable, and future-proof.
If an AI system stores memory in a format humans cannot read, can we truly call it memory?
With Mnemosyne, memories are simply .md files:
research/vector-dbs.md
meetings/customer-a.md
architecture/rag-design.md
Agents ingest them, build indexes, extract wiki-links, and retrieve relevant context when needed.
Humans can open the same files in any editor.
The memory belongs to you.
AI Memory Should Outlive Models
Models change.
Frameworks come and go.
Today’s state-of-the-art becomes tomorrow’s legacy.
Memory should outlive all of them.
That’s why Mnemosyne integrates with LangChain, CrewAI, OpenAI SDK, Anthropic, Gemini, Ollama, LM Studio, and many others—without locking users into a specific ecosystem.
The goal isn’t to create another framework.
The goal is to create durable memory.
The Future of AI Is Persistent
We often talk about reasoning, agents, and autonomy.
But long-term intelligence requires continuity.
An assistant that remembers past research.
An agent that recalls deployment history.
A system that learns over months instead of minutes.
Persistent memory is not a feature.
It’s infrastructure for intelligence.
And perhaps, memory—not larger models—is the next frontier of AI.
Mnemosyne is open source and MIT licensed.
Built for developers who believe AI should remember—and that memory should remain theirs.
