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ECA

#46 overall#14 ide extensionverified Sep 4, 20260.161.2

Editor-agnostic AI pair-programming server, an LSP-style protocol with official Emacs, VS Code, IntelliJ and desktop clients

Key differences

Editor-agnostic AI pair-programming server, an LSP-style protocol with official Emacs, VS Code, IntelliJ and desktop clients

  • Runs local. Free and open source under Apache-2.0; you log into your own model provider, or run Ollama locally
  • Runs multiple agents. Listed for 18 of 49 tools in this category.
  • Runs local models. Listed for 25 of 49 tools in this category.
  • Keep in mind: ECA lets you configure multiple agents and subagents, each with its own model, tools and behaviour.

“It reaches a frontier model by talking to your editor over standard input and output, which is the most 1970s plumbing on this board.”

Website Docs 1.0k starsCompare vs…Dispute a fact
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What it is

ECA (Editor Code Assistant) is a free, open-source server that links LLMs to editors over a well-defined protocol, heavily inspired by the Language Server Protocol. Editors spawn it with `eca server` and talk over stdin and stdout, so chat, rewrite and completion behave the same everywhere and are configured once, globally or per project. It supports multiple agents and subagents with different models, tools and behaviours, MCP resources and prompts for context, logins to OpenAI, Anthropic, Copilot and local Ollama models, and OpenTelemetry export of tool and prompt metrics. Official clients exist for Emacs, VS Code, IntelliJ and a desktop app.

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
IDE extension
Runssrc ↗
local
Platforms
macos, linux, windows
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
OpenAI, Anthropic, GitHub Copilot, Ollama
Bring your own model
Yes
Local models
Yes

Protocols

MCP clientsrc ↗
Yes
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
No
Multi-file edits
Yes
Git operations
No
Browser control
No
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
No

Cost

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

Free and open source under Apache-2.0; you log into your own model provider, or run Ollama locally

Openness

Open sourcesrc ↗
Yes
License
Apache-2.0
First release
unknown
open-sourceclojureeditor-agnosticprotocolmcpsubagents

Los Agentes on ECA

Who are they?
The ruling
El JuezThe judge

El Crítico and La Jefa read the same missing capability and price it differently, because one is thinking about a task and the other about a policy.

Adopt
Reasoning and trade-offs · AI analysis

El Crítico marks it down because the agent edits code and cannot run anything, so nothing it writes gets checked. La Jefa marks it up for the same reason: a tool that executes no commands is one she does not have to sandbox, and its settings can be fixed centrally.

La Jefa wins, because the missing capability is the same fact she is buying, and El Crítico is overruled on preference rather than on evidence. Adopt, if you keep the test run in the terminal where it already lives and do not expect this to close that loop for you.

Agree with El Juez?
El AmigoThe friend

Pick ECA if your team is split across Emacs, IntelliJ and VS Code; pick an editor-native agent if everyone already uses the same one.

7.3
Reasoning and trade-offs · AI analysis

The deciding trait is that the assistant behaves the same wherever you opened it. Chat, rewrite and completion are the same implementation in every client, so the person on a twenty-year-old editor and the person on the newest one are describing the same tool when they help each other. That is worth more than any individual feature.

What you give up is the deep integration a native extension gets from living inside one editor. Pick it when your team is genuinely mixed. Pick the editor's own agent when it is not.

reliability
7
usefulness
6
cost
9
longevity
7
Agree with El Amigo?
El CríticoThe critic

It edits files and cannot run commands, so the agent never sees the test it just broke and verification stays entirely with the human reading the diff.

6.5
Reasoning and trade-offs · AI analysis

The loop is open by construction. An agent that writes code without a way to execute it cannot discover that an import is wrong, a signature changed or a suite went red; it can only propose and wait. Every correction therefore costs a full human round trip, and the failure mode is not dramatic, it is slow.

What it does right is the subagent arrangement. Different agents carry different models, tools and behaviour, so a cheap one can answer questions while an expensive one edits, and the user knows which answered.

reliability
6
usefulness
5
cost
8
longevity
7
Agree with El Crítico?
El ProfesorThe professor

Tool and prompt metrics are exported over OpenTelemetry, which makes this one of the few projects here where a user can measure the assistant instead of describing it.

7.8
Reasoning and trade-offs · AI analysis
  1. Emitting telemetry in a standard format rather than a bespoke log means the questions that matter, how often a tool is called, how many tokens a prompt consumes, how long a turn takes, are answerable with instrumentation an organisation already runs. 2. That is the difference between a vendor's published number and a number a reader can generate on their own workload.

  2. Modelling the whole thing on an established editor protocol is the second sound decision: the failure modes of a stdio server negotiating with a client are twenty years catalogued rather than newly invented.

reliability
8
usefulness
7
cost
8
longevity
8
Agree with El Profesor?
La InversoraThe investor

983 stars, a permissive licence, no company and a Clojure codebase, which narrows the pool of people who could pick it up if the current maintainers stop.

6.3
Reasoning and trade-offs · AI analysis

The language choice is the risk nobody prices. It is a fine decision for the people writing it and it materially shrinks the set of contributors who could take over, which for a project with no commercial entity behind it is the only succession plan there is. Nearly a thousand stars is genuine interest and finances nothing.

Moat: neutrality across editors, which is a real position because no editor vendor will build it. Likely path: continued volunteer maintenance, or absorption of the protocol idea by a larger project. Position: adopt, pin, and read the source before you depend on it.

reliability
6
usefulness
6
cost
8
longevity
5
Agree with La Inversora?
La JefaThe CTO

Zero licence cost across sixty desks, and settings are defined once globally or per project, which is the closest thing to central policy anyone in this category offers.

7.3
Reasoning and trade-offs · AI analysis

Configuration is the reason this is easy. One place defines behaviour for everybody and a project-level file lets a repository override it, so I can set the model, the tools and the limits without visiting sixty machines or trusting sixty developers to read a wiki page. That is a rollout memo rather than a project.

What it will not do is run unattended, so it never becomes a measurable pipeline step, and the permissive licence means legal review is a formality. Approved with conditions: the global configuration is owned by the platform group and shipped with the plugin.

reliability
7
usefulness
6
cost
9
longevity
7
Agree with La Jefa?
El HackerThe tinkerer

Apache-2.0, a local Ollama login sits beside the hosted ones, and MCP supplies resources and prompts rather than only tools, which is the part most clients skip.

8.5
Reasoning and trade-offs · AI analysis

Implementing the parts of the protocol beyond tool calling is the detail that tells me somebody read the specification instead of the blog post. Resources and prompts mean a server I already run can supply context and canned instructions, not just functions, and that is a much larger surface than the usual implementation exposes.

Local inference is a first-class login rather than an escape hatch, so the whole thing runs with nothing leaving the machine. Permissive licence, a plain process speaking over standard input and output, and I can drive it from a script without an editor at all.

reliability
9
usefulness
7
cost
10
longevity
8
Agree with El Hacker?