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Adnify

#170 overall#17 ai-native ideverified Sep 4, 2026v1.7.70

Local-first Electron coding IDE with its own agent kernel and a Plan mode that turns a request into a reviewed task graph

Key differences

Local-first Electron coding IDE with its own agent kernel and a Plan mode that turns a request into a reviewed task graph

  • Runs local. Source-available and free for personal, research, educational and non-profit use; commercial use needs the author's permission, and you supply your own model keys
  • Runs local models. Listed for 13 of 23 tools in this category.
  • Runs multiple agents. Listed for 18 of 23 tools in this category.
  • Keep in mind: The source is public but the licence restricts commercial use, so it is source-available rather than open source.

“It detects your dev server and opens it in a protected webview tab, so the agent can admire the thing it just broke.”

Website 301 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

Adnify is a local-first Electron workspace that pairs a code editor with two AI workflows: Agent Mode for direct implementation and Plan Mode, which clarifies a requirement into an inspectable task graph, requires a plan review, schedules dependent tasks with bounded concurrency onto a live TaskBoard, and ends with explicit result validation. Both share one agent kernel that handles model routing, tool policies, approvals and budgets. Its tools cover scoped file edits with diff previews, LSP code intelligence, LanceDB semantic search over an indexed codebase, terminal execution with OSC 633 shell integration, git operations behind a subcommand whitelist, web search and MCP servers.

Specification

Source verification

Row snapshot checked 2026-09-04. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

overview
Needs individual review
website
Needs individual review
install
Needs individual review
capabilities
Needs individual review
protocols
Needs individual review
models
Needs individual review
license
Needs individual review

Architecture

Type
AI-native IDE
Runssrc ↗
local
Platforms
macos, linux, windows
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
OpenAI, Anthropic, Google, DeepSeek, Ollama
Bring your own model
Yes
Local models
Yes

Protocols

MCP clientsrc ↗
Yes
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
Yes
Through web search, URL reading and a built-in local app preview that detects dev servers and opens them in protected Webview tabs.
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
No

Cost

Modelunsourced
byok
Starts at
$0/mo
Free tier
Yes
Bring your own key
Yes

Source-available and free for personal, research, educational and non-profit use; commercial use needs the author's permission, and you supply your own model keys

Openness

Open sourcesrc ↗
No
License
Adnify Software License Agreement
First release
unknown
source-availableelectronplan-modemcplsplocal-first

Los Agentes on Adnify

Who are they?
The ruling
El JuezThe judge

El Hacker and La Jefa read the same source-available licence and split on it, while El Profesor is scoring a question neither of them asked.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Hacker and La Jefa read the same licence and reach opposite conclusions. He accepts it because he can still read the kernel and point it at Ollama. She stops at the clause making commercial use conditional on one author's permission, which is a procurement problem, not a technical one.

La Jefa wins wherever money changes hands, and El Hacker is overruled on relevance rather than on fact. For a solo builder the ruling flips and his reading stands. Adopt with conditions, the condition being written permission from the author before any of this work is billed to a client.

Agree with El Juez?
El AmigoThe friend

Pick Adnify if you want to approve a plan before an agent touches anything; pick Cursor if you would rather steer inline and skip the ceremony.

6.5
Reasoning and trade-offs · AI analysis

The deciding trait is that Plan Mode will not start until you have read the plan. A request becomes a task graph you inspect, approve or send back, and only then does anything get written. If you have ever watched an agent confidently do the wrong six things in a row, that pause is the whole product.

What you pay for it is speed, and a desktop app you install from source rather than a store. Pick it when the cost of a wrong change is high. Pick Cursor when you would rather move fast and read the diff afterwards.

reliability
6
usefulness
7
cost
8
longevity
5
Agree with El Amigo?
El CríticoThe critic

Git operations are gated by a subcommand whitelist and terminal execution runs straight on the host, so the blast radius of a bad tool call is your machine.

6.0
Reasoning and trade-offs · AI analysis

The risk is that the guard rails are lists. A whitelist of git subcommands protects against the commands somebody thought of; a shell tool that runs on the host protects against nothing at all. There is no container between the agent and the filesystem it was pointed at, so approvals are the only thing standing between a mistaken plan and a working tree.

What it does right is the diff preview. Edits are scoped and shown before they land, which is the correct default and one many faster tools skip.

reliability
6
usefulness
6
cost
7
longevity
5
Agree with El Crítico?
El ProfesorThe professor

Context comes from an LSP layer and a LanceDB index over the codebase, and Plan Mode terminates in an explicit result-validation step rather than a summary.

6.8
Reasoning and trade-offs · AI analysis
  1. Retrieval is two-sourced: a language server supplies symbol-accurate structure while a vector index over the indexed repository supplies similarity, which are different failure modes and therefore complementary. 2. The pipeline ends in a declared validation stage. Most designs stop when the model says it stopped; naming verification as a step means the loop has a defined terminal condition rather than a conversational one.

  2. None of this is measured. No evaluation accompanies the architecture, so the claim is structural rather than demonstrated, and a reader should treat the task graph as a design argument.

reliability
7
usefulness
7
cost
7
longevity
6
Agree with El Profesor?
La InversoraThe investor

One author, a bespoke licence agreement bearing the product's own name, and 273 stars: no company here, only a person holding a rights position he has not priced.

5.3
Reasoning and trade-offs · AI analysis

The interesting asset is the licence itself. A custom agreement that reserves commercial use is a founder keeping optionality open: it converts every business user into a conversation, and a conversation is where pricing power starts. Two hundred and seventy-three stars is not distribution, though, and there is no entity, no tier and no revenue line to inspect.

Moat: the reserved rights, which is thin. Likely acquirer: nobody buys this; an editor vendor hires the author and the repository goes quiet. Position: use it personally, and do not let a team depend on one person's calendar.

reliability
5
usefulness
6
cost
6
longevity
4
Agree with La Inversora?
La JefaThe CTO

Free for personal use and undefined for sixty commercial desks, with nothing that runs unattended and no administrative surface to configure any of them centrally.

4.5
Reasoning and trade-offs · AI analysis

The line item I cannot fill in is the one that matters. Personal, research and non-profit use is free; commercial use requires permission from the author, which means the price for sixty seats is whatever an email negotiation produces. That is worse than a published number, because I cannot budget it and legal cannot review it.

Operationally it is sixty desktop installations with no console, no directory integration and no audit trail I can hand an auditor. It does not run in a pipeline, so it never becomes a measurable step. Not yet.

reliability
4
usefulness
5
cost
5
longevity
4
Agree with La Jefa?
El HackerThe tinkerer

Ollama sits beside the hosted providers in the model router, MCP servers attach, and the source is readable; the licence is the part I cannot fork my way out of.

6.3
Reasoning and trade-offs · AI analysis

Model routing lives in the kernel, so I point it at a local Ollama endpoint and nothing leaves the box except what I choose to send. MCP servers plug in. The source is public and I build it with pnpm from a clone, which means I can read every tool policy and budget rule before I trust one of them.

Then I hit the licence. Public source under a bespoke agreement is not open, and a fork that survives the author is exactly what that agreement is written to prevent. Readable, editable, and not mine.

reliability
6
usefulness
7
cost
8
longevity
4
Agree with El Hacker?