KiwiFS
A markdown filesystem for agents and teams: searchable, structured and versioned knowledge in a single binary that agents can read and write.
Updated
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About KiwiFS
KiwiFS is listed in our memory & RAG category and is aimed at builders. A markdown filesystem for agents and teams: searchable, structured and versioned knowledge in a single binary that agents can read and write. Pricing, as the maker states it: See site. Maturity: Active. We last checked the official link on 2026-10-20.
KiwiFS at a glance
- Category: Memory & RAG
- Built for: Developers and teams building with AI agents
- Pricing: Not verified yet: see the official site
- GitHub: kiwifs/kiwifs · 855 stars (as of Oct 20, 2026)
- Official site: docs.kiwifs.com
- Listed on AgentScout: Oct 20, 2026
KiwiFS FAQ
What is KiwiFS?
A markdown filesystem for agents and teams: searchable, structured and versioned knowledge in a single binary that agents can read and write.
How much does KiwiFS cost?
AgentScout hasn't verified KiwiFS's pricing yet, so we don't list a price. Check the official site (docs.kiwifs.com) for current plans.
Where can I find KiwiFS's source code?
On GitHub at kiwifs/kiwifs, which had 855 stars as of Oct 20, 2026.
What are alternatives to KiwiFS?
Similar tools include OpenViking, Basic Memory, OpenLore, Extend MCP, LlamaParse and Headroom.
Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.
KiwiFS ratings and reviews
KiwiFS alternatives
Other memory & RAG tools in our directory. See all memory & RAG tools →
OpenViking
Context database for AI agents that keeps memory, knowledge and skills in one inspectable virtual filesystem agents can navigate.
Basic Memory
Persistent memory for Claude, Codex and Cursor stored as local Markdown knowledge, available open source or as a hosted cloud workspace.
OpenLore
A self-hosted knowledge repository for AI agents written in Go, where agents and teams share docs, notes and findings over SSH and MCP with scoped access.
Extend MCP
Extend's MCP server for turning documents into structured data: parse, extract, classify, split and fill PDF forms.
LlamaParse
LlamaIndex's document processing platform that parses PDFs, scans and Office files into markdown or JSON and extracts, classifies and indexes them for agents.
Headroom
Library, proxy and MCP server that compresses tool outputs, logs, files and RAG chunks locally before they reach the LLM, cutting tokens for coding agents.
Related lists
🏆 See also: Claude-Mem alternatives · All best-of lists
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