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We read 638 product pages ourselves and only recorded a claim when the page said it in its own words, with the sentence quoted. This is a small, growing slice of the full catalog, not a replacement for it.

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5 products match every selected criterion

Local markdown note-taking app that stores notes as plain .md files on disk for people who want to own their data, instead of a cloud-locked notes app.

Works offline
What to know
How it works
Stores notes as plain text .md files directly on disk; you choose your own sync method or stay fully offline.
Best for
People who want full control of their note files rather than relying on a vendor's cloud storage.

Watched for 27 days · last checked 1d ago

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A local-first AI platform bundling chat, a coding agent, a terminal and uncensored open models, with no cloud or accounts. For technical users, not really a mobile app despite the Android companion.

No sign-upWorks offlineOpen sourceNo subscription
What to know
How it works
A local-first AI platform bundling end-to-end encrypted P2P chat, a bare-metal terminal with real PTY shell access, autonomous coding agents, hybrid RAG, and bundled uncensored Qwen/Gemma models, with a native Android companion app for LAN discovery.
What's different
Runs fully offline with no cloud, accounts, or subscriptions, and ships uncensored model variants with no filters.
Pricing
Open-source (AGPL-3.0).
Best for
Technical users on Linux or Windows who want a self-hosted AI toolkit with no cloud dependency.
Watch out
Ships uncensored models with zero filters — outputs are not moderated.

Watched for 27 days · last checked 11d ago

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A desktop coding harness built specifically around open-weight models like DeepSeek, Qwen and Kimi, instead of bolting them onto a Claude or GPT-first interface as an afterthought.

FreeWorks offline
What to know
How it works
A desktop AI coding harness built around open-weight models (DeepSeek, Qwen, Kimi, MiniMax) instead of Claude/GPT, using a structural + lexical code-retrieval engine (Blueprint) that builds a real dependency graph of the codebase rather than embeddings or a vector DB.
What's different
Built specifically for open-weight models' weaker context discipline, instead of treating them as an afterthought behind a Claude/GPT-first interface.
Pricing
Free.
Best for
Developers who want to use open-weight models like DeepSeek, Qwen, or Kimi for coding with retrieval built for their limitations.
Watch out
Depends on local tools like Ollama and MCP — offline/no-cloud setup requires configuring those dependencies yourself.

Watched for 27 days · last checked 11d ago

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An open-source, Git-native IDE for running and reviewing AI coding agents — shows what changed in the logic, not just the diff. Built for developers working with AI agents.

Open source
What to know
How it works
A Git-native IDE for running AI coding agents: it tracks the agent's changes at the function and class level and compares the resulting code against your original intent, rather than just showing a line diff.
What's different
Where Git shows lines changed, Aura is built to show what changed in the logic — letting you verify a task was actually completed before committing.
Pricing
Open source.
Best for
Developers who run AI coding agents and want to verify logic-level correctness before trusting a commit.

Watched for 27 days · last checked 12d ago

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A local gateway that lets every AI coding client share one set of MCP server connections instead of configuring each tool separately, cutting how many tools your agent has to load.

FreeNo sign-upWorks offlineOpen source
What to know
How it works
A local-first, open-source gateway. You set up and authenticate each MCP server once, and every connected AI client — Claude, Cursor, VS Code, Codex — shares that same connection instead of you configuring it per tool.
What's different
Claims up to 91% less tool-token overhead by giving an agent a handful of meta-tools instead of loading hundreds of individual tool definitions; API keys stay in the OS keychain.
Pricing
Free, open source, no sign-up.
Best for
Developers running multiple AI coding clients against the same set of MCP servers who don't want to re-authenticate each one separately.
Watch out
The '91% overhead cut' figure is the product's own claim; we haven't independently benchmarked it.

Watched for 29 days · last checked 1d ago

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