Agent-focused repos
Source control features are designed for agents, with lightweight push and pull operations and no rate limits called out on the site.
Relace
Freemium
Relaceはコーディングエージェント向けのAIモデル・インフラ基盤で、コード検索、ファイル統合、ソース管理ワークフローに対応します。ホステッド、オンプレミス、VPC分離で導入できます。
Relaceとは？
Relace is an AI model and infrastructure platform for coding agents. It focuses on the parts of the development workflow that need fast code retrieval, reliable file edits, and source-control operations designed for automated systems.
The site positions Relace as a set of purpose-built models and supporting infrastructure rather than a general-purpose chat product. Its hosted API supports quick experimentation, while enterprise and self-hosted deployments are available for teams with stricter compliance or latency requirements.
Relaceでできること
Code retrieval
The product includes semantic code retrieval that is described as scaling to large codebases and searching a codebase in under a second.
Fast apply
A universal merging model applies file edits at roughly 10,000 tokens per second, which the site presents as a fast path for code changes.
Task-specific models
The models are described as small, fast SLMs trained in-house for utility tasks such as retrieval, merging, and code generation.
Infrastructure for autonomous workflows
Infrastructure supports sandbox workflows with lightweight push and pull, fast branching for subagents, automatic indexing for two-stage retrieval, and throughput-oriented rate limits.
利用シーン
“Repository-aware code search”
Use Relace when you need an agent to find relevant code across a large repository before it makes a change. The site highlights semantic search and code retrieval as core capabilities.
“Applying code edits”
Use the fast apply model when your workflow needs file edits merged back into code quickly and reliably, such as automated fixes or repeated patching.
“Autonomous coding workflows”
Use the infrastructure layer when you are running subagents or sandboxed workflows that need lightweight repository operations, branching, and indexing.
“Rapid evaluation and prototyping”
Use the hosted API to try the product quickly before committing to a more controlled deployment model. The site says hosted users can start experimenting within minutes.
“Controlled deployments”
Use the on-premise or VPC-isolated options when code residency, compliance, or latency constraints matter more than a standard hosted setup.
よくある質問
What is Relace used for?
Relace is built for coding workflows that need code retrieval, merging, and code generation. The site positions it for teams building coding agents and engineering pipelines that benefit from specialized models rather than general-purpose LLMs.
Does Relace have pricing available?
Yes. The pricing page lists individual models priced by token usage, including `relace-apply-3`, `relace-search`, `relace-rank`, and `relace-embed`. The site also says you can start experimenting with the hosted API and contact the team for enterprise or self-hosted setups.
Can Relace be self-hosted?
The site says Relace offers on-premise and VPC-isolated deployments for teams with stricter compliance or latency requirements. It also states that self-hosted or VPC deployments keep code inside your controlled environment.
How does Relace handle security and sensitive code?
Relace says its systems are SOC 2 compliant and that data is encrypted in transit and at rest on the hosted tier. For self-hosted and VPC deployments, it says code never leaves your controlled environment.
How quickly can teams get started?
The site says hosted users can start experimenting within minutes through the API, while enterprise and self-hosted setups get guided onboarding from the Relace team.
クイック情報
- Category
- AI models and infrastructure for coding agents
- Primary users
- Teams building coding agents and engineering workflows
- Pricing model
- Token-based individual model pricing
- Deployment options
- Hosted API, on-premise, and VPC-isolated deployments
- Source domain
- relace.ai
- Notable workflow
- Code retrieval, file merging, and autonomous codegen
Relace のトラフィック分析
トラフィックデータは参考情報としてご利用ください。
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