InsForge 通过开源后端层解决了 AI 代理在连接后端服务时的高令牌消耗和错误率问题，为构建全栈 AI 应用提供了更高效的方案。
开源平台 InsForge 作为后端上下文层，显著减少了 AI 编程代理的令牌消耗。在 Claude Code 的测试中，令牌使用量从 1040 万降至 370 万，错误从 10 个降至 0 个。该平台通过语义层暴露数据库、认证和存储等后端原语，使代理无需猜测模式或幻觉 API 调用。每次运行成本从 9.21 美元降至 2.81 美元，展示了结构化后端集成对 AI 代理效率的关键影响。
An open-source backend layer just cut AI agent tok…
An open-source backend layer just cut AI agent tokens by 3x.
Claude Code burned through 10.4M tokens with 10 errors on a single project.
One change cut that to 3.7M tokens with zero errors.
The fix was adding InsForge as a backend context layer.
It's an open-source platform that gives coding agents direct access to backend primitives.
Most agents stumble when wiring up databases, auth, and storage.
They guess at schemas and hallucinate API calls.
This platform exposes everything through a semantic layer the agent can actually reason about.
What ships out of the box:
> Postgres database with auth > S3-compatible file storage > Serverless edge functions > Site deployment and hosting > Model gateway across LLM providers
Agents fetch docs, configure services, and inspect logs through structured schemas.
The result is full-stack apps shipped end to end without the token bleed.
Cost dropped from $9.21 to $2.81 per run.