Augment CodevsCoStrict
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Augment Code
Augment Code · IDE extension
#32MCP
Panel
6.34 spec wins
- Reliability
- 6.3
- Usefulness
- 7.0
- Cost
- 5.2
- Longevity
- 6.5
“Charges the model's list price plus a 40 percent service fee, which is at least a markup you can read without a lawyer.”
CoStrict
Sangfor · IDE extension
#87OSSMCP
Panel
6.97 spec wins
- Reliability
- 6.5
- Usefulness
- 6.5
- Cost
- 7.7
- Longevity
- 6.8
“It accepts screenshots as context, so you can finally show it the design instead of describing the design to it three times.”
Spec by spec
| Spec | Augment Code | CoStrict |
|---|---|---|
| Architecture | ||
| Category | IDE extension | IDE extension |
| Runs | local, cloud | local, cloud |
| Platforms | macos, linux, windows | macos, linux, windows |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | Yes | Yes |
| MCP server | Yes | No |
| Capabilities | ||
| Runs terminal commands | Yes | Yes |
| Multi-file edits | Yes | Yes |
| Git operations | Yes | No |
| Browser control | NoAuggie 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. | No |
| Sandboxed execution | YesCosmos 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. | No |
| Multi-agent orchestration | Yes | YesCode review uses multi-expert model verification rather than a general subagent system. |
| Headless / CI mode | Yes`auggie --print` runs non-interactively for scripts and CI, and Augment publishes GitHub Actions wrappers for PR descriptions and reviews. | No |
| Models | ||
| Backbone | Claude, GPT, Gemini, GLM, Kimi | built-in free models, Anthropic, OpenAI, any OpenAI-compatible endpoint |
| Bring your own model | NoModel 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. | Yes |
| Local models | NoNo local or OpenAI-compatible endpoint is documented; inference always runs through Augment. | YesThe README lists local models alongside Anthropic, OpenAI and OpenAI-compatible APIs under model customisation. |
| Cost | ||
| Pricing model | mixed | byok |
| Starts at | $20/mo | $0/mo |
| Free tier | No | Yes |
| Bring your own key | NoLLM usage is billed by Augment as provider cost plus a 40% service fee; supplying your own provider key or cloud account is not documented. | Yes |
| Openness | ||
| Open source | No | Yes |
| License | proprietary | Apache-2.0 |
| GitHub stars | 283 | 4,442 |
Which one would each critic pick
| Critic | Augment Code | CoStrict | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 7.0 | 7.0 | no preference |
| El Crítico | 6.0 | 6.0 | no preference |
| El Profesor | 6.5 | 6.3 | Augment Code — 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. |
| La Inversora | 7.0 | 7.8 | CoStrict — A network-security vendor giving away a coding assistant is running a channel, not a charity, and 4,401 stars is a lead list rather than a revenue line. |
| La Jefa | 6.8 | 6.8 | no preference |
| El Hacker | 4.3 | 7.5 | CoStrict — Apache-2.0, a model field that accepts any OpenAI-compatible endpoint including the one on my desk, and MCP servers attach as tools without an adapter. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.