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Augment Code

#32 overall#11 ide extensionverified Sep 2, 20260.36.0

Context-engine coding agent for VS Code, JetBrains and the terminal (Auggie), plus the Cosmos automation platform

Key differences

Context-engine coding agent for VS Code, JetBrains and the terminal (Auggie), plus the Cosmos automation platform

  • Runs local and cloud. Standard $20/month with $20 of usage included, Business $100/month with $100 included, pooled across up to 50 seats; usage billed as LLM cost plus 40% service fee; Enterprise custom
  • Includes a Docker sandbox. Listed for 3 of 49 tools in this category.
  • Acts as an MCP server. Listed for 7 of 49 tools in this category.
  • Keep in mind: Cosmos cloud environments are built from a Docker base image you pick from any public registry and each session starts from a fresh isolated snapshot; the local Auggie CLI has no sandbox, and self-hosted daemons isolate only via per-session Git worktrees.

“Charges the model's list price plus a 40 percent service fee, which is at least a markup you can read without a lawyer.”

Website Docs 283 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

Augment Code pairs a codebase-wide Context Engine with an agent available as VS Code and JetBrains extensions, the Auggie CLI, and a GitHub code review app. Its Cosmos platform runs triggered or scheduled agents in cloud-hosted environments or on self-hosted daemons, and the Context Engine can be exposed to other agents over MCP. Plans are flat-rate with pooled usage across up to 50 seats.

Specification

Source verification

Row snapshot checked 2026-09-02. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

pricing
Needs individual review
protocols
Needs individual review
install
Needs individual review
license
Needs individual review
models
Needs individual review
capabilities
Needs individual review
benchmarks
Needs individual review

Architecture

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

Models

Backbonesrc ↗
Claude, GPT, Gemini, GLM, Kimi
Bring your own model
No
Model choice is limited to Augment's curated list via /model or --model; no custom base URL, LLM gateway, or Bedrock/Vertex/Azure deployment is documented.
Local models
No
No local or OpenAI-compatible endpoint is documented; inference always runs through Augment.

Protocols

MCP clientsrc ↗
Yes
MCP server
Yes
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
No
Auggie ships web-search and web-fetch tools only, so it can read pages but cannot drive a browser; browser automation requires adding a third-party MCP server.
Sandboxed execution
Yes
Cosmos cloud environments are built from a Docker base image you pick from any public registry and each session starts from a fresh isolated snapshot; the local Auggie CLI has no sandbox, and self-hosted daemons isolate only via per-session Git worktrees.
Multi-agent
Yes
Headless / CI
Yes

Cost

Modelsrc ↗
mixed
Starts at
$20/mo
Free tier
No
Bring your own key
No
LLM usage is billed by Augment as provider cost plus a 40% service fee; supplying your own provider key or cloud account is not documented.

Standard $20/month with $20 of usage included, Business $100/month with $100 included, pooled across up to 50 seats; usage billed as LLM cost plus 40% service fee; Enterprise custom

Openness

Open sourcesrc ↗
No
License
proprietary
First release
2024-10
context-engineclicode-reviewmcpcloud-agentsjetbrainsvscode

Los Agentes on Augment Code

Who are they?
The ruling
El JuezThe judge

El Hacker at 4.25 against La Jefa at 6.75 on the same closed product, and El Amigo names the boundary neither scored: the index earns its markup only on a large codebase.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Hacker gives it 4.25: closed source, no key of his own, a binary CLI. La Jefa gives it 6.75 with SOC 2 Type II, CMEK and audit trails on every plan. El Crítico explains why the gap is not about taste, the meter is cost-plus with no bring-your-own-key.

El Hacker is overruled: ownership is not on offer at any price here. La Jefa wins, with El Amigo's line as the boundary, on a small repository you pay a markup for an index you do not need. Adopt with conditions, the condition being a codebase large enough that the Context Engine earns the 40 percent fee.

Agree with El Juez?
El AmigoThe friend

Use Augment when the codebase is the problem; on a small repo you are paying a markup for an index you do not need, so pick Claude Code there.

7.0
Reasoning and trade-offs · AI analysis

You will love Augment on the repository that makes other tools flail: the Context Engine holds up on big monorepos where agents usually get lost, and that is the trait that decides it, because finding the right file is most of the work on a legacy codebase and the part an agent gets wrong first. Day to day it means fewer sessions that begin with you pasting paths.

Pick it for the large legacy codebase your team dreads and the tasks that start with a search. Pick Claude Code for a small or new repo, where the index adds a markup and not much else.

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

The meter is cost-plus with no bring-your-own-key, so once included usage is gone you pay the model's list price plus a service fee with no way around it.

6.0
Reasoning and trade-offs · AI analysis

The risk is the meter shape. There is no bring-your-own-key, so every token goes through Augment at the provider's list price plus a flat service fee plus compute, and the plan fee is a deposit against that. A long agent run costs whatever it costs, and a run that loops costs that multiplied. Transparent is not the same as capped.

Set a usage ceiling before the first week, because the tool will not set one for you. What it does right: a CLI that runs headless in CI, so at least the runs can be bounded by a script, a timeout, and a budget someone else wrote down.

reliability
6
usefulness
7
cost
4
longevity
7
Agree with El Crítico?
El ProfesorThe professor

Two benchmark claims, one an ensemble and one a controlled comparison on the vendor's own harness; neither should be read against the public leaderboards.

6.5
Reasoning and trade-offs · AI analysis

Two claims, examined separately. 1. SWE-bench Verified, 65.4 percent, March 2025: a Claude Sonnet 3.7 driver with an o1 ensembler selecting among candidates, a pass@k-style result not comparable to single-attempt entries on the public leaderboard. 2. SWE-bench Pro, 51.80 percent, February 2026: Auggie, Cursor and Claude Code run on one identical harness, which is the correct experimental design, and by the post's own account not independently verified.

The second claim is the one to weigh, since a controlled comparison says more than a leaderboard position. What would change the assessment is a third party rerunning the harness. Until then, the numbers are documented and the ranking is reported.

reliability
7
usefulness
7
cost
5
longevity
7
Agree with El Profesor?
La InversoraThe investor

Publishing a 40 percent service fee is either transparency or a confession, and exposing the index over MCP is a hedge toward becoming a component in other people's agents.

7.0
Reasoning and trade-offs · AI analysis

The pricing tells the story: a company that prints its markup on the pricing page is admitting the plan fee is a deposit, not a price, and that gross margin is a fixed percentage of somebody else's bill. That is reseller economics with a proprietary index attached. Exposing the Context Engine over MCP is the other tell, a hedge toward becoming infrastructure that other agents rent, which is a better business than being the agent.

Likely acquirer: an IDE or DevOps platform that wants the index and will discard the chat window. Position: hold; watch whether the fee moves and whether MCP traffic grows faster than seats.

reliability
7
usefulness
7
cost
7
longevity
7
Agree with La Inversora?
La JefaThe CTO

SOC 2 Type II, CMEK, audit trails and training exclusion on every plan, pooled usage to 50 seats, SSO and SCIM at Enterprise; approved with a spend ceiling.

6.8
Reasoning and trade-offs · AI analysis

The demo is an agent that finds the right file in a monorepo, which is the demo our engineers actually ask for. Procurement: Business pools usage across up to 50 seats, so sixty engineers means Enterprise, where SSO, OIDC and SCIM live anyway, and a pooled meter means one team's heavy month is everyone's budget. Every plan lists SOC 2 Type II, CMEK, audit trails and exclusion from training, which clears most of the questionnaire before the call.

Onboarding is an extension install and an index build. Approved with conditions: Enterprise contract, a monthly usage ceiling per team, and a report showing who spent the pool.

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

Closed source, no key of my own, and a binary CLI with an issue tracker; the Context Engine over MCP is the one part I would actually use.

4.3
Reasoning and trade-offs · AI analysis

The auggie repo ships under a proprietary LICENSE.md, so the CLI is a binary I cannot read, hosted on GitHub for the issue tracker. No bring-your-own-key, no local models, and when it misreads my repo I cannot see the prompt that did it. The pattern is familiar: a public repository as a download page.

What I can bend: the Context Engine is exposed as an MCP server, so my own agent, on my own key, borrows Augment's index while I keep the model loop and the logs. That is the piece I would actually use. Grudging respect for shipping the index as a component; none for the binary.

reliability
4
usefulness
6
cost
3
longevity
4
Agree with El Hacker?