[KongchangAI]
ProductAPI knowledge layer

Cortex

An open-source API knowledge-layer tool that treats API specifications (OpenAPI, AsyncAPI, GraphQL, gRPC, OpenRPC) as the single source of truth. It automatically derives and generates interactive documentation, multi-language typed SDKs, and MCP servers, unifying repetitive development work across the API lifecycle.

Timeline (last 90 days)

Oct 19

Cortex proposes "memory consolidation": distilling the gains brought by context into low-rank or FFN parameter updates merged into the model itself, recovering 88.9% of the context gains after 50 sequential fact edits while retaining 99.8% of the original performance.

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Oct 16

Mitosis Labs' research page reports that Cortex (its memory system) achieved 96% accuracy, 0.0% error rate, and an average response time of 4.4 seconds in the Agentic Memory Index's 272-task evaluation.

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Oct 16

Cortex's benchmark results describe a memory-system evaluation, are not measured results from a Private SuperIntelligence customer deployment, and are not a comparison with ChatGPT Enterprise.

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Sep 12

Cortex is an open-source project that uses the API specification as the single source of truth and automatically derives documentation, SDKs, and MCP servers from it.

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Sep 12

Cortex was built by Nick Chisiu.

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Sep 12

Cortex supports five types of API specifications as input formats: OpenAPI, AsyncAPI, GraphQL, gRPC, and OpenRPC.

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Sep 12

Cortex derives three types of artifacts from API specifications: interactive documentation, typed SDKs, and MCP servers.

Unverified50%
Sep 12

The typed SDKs generated by Cortex cover 11 programming languages.

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Sep 12

By including MCP servers as a default output, Cortex differentiates itself from traditional API code generators such as Swagger Codegen and OpenAPI Generator, serving both human developers and AI consumers.

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Sep 12

Typed SDKs use the language's native type system to solidify API request and response structures, and regenerating after a specification file update synchronizes all language versions.

Unverified50%

13 more timeline events

All Facts (20)

Unverified

Cortex proposes "memory consolidation": distilling the gains brought by context into low-rank or FFN parameter updates merged into the model itself, recovering 88.9% of the context gains after 50 sequential fact edits while retaining 99.8% of the original performance.

50%
Unverified

Mitosis Labs' research page reports that Cortex (its memory system) achieved 96% accuracy, 0.0% error rate, and an average response time of 4.4 seconds in the Agentic Memory Index's 272-task evaluation.

50%
Unverified

Cortex's benchmark results describe a memory-system evaluation, are not measured results from a Private SuperIntelligence customer deployment, and are not a comparison with ChatGPT Enterprise.

50%
Unverified

Cortex was built by Nick Chisiu.

50%
Unverified

Cortex is an open-source project that uses the API specification as the single source of truth and automatically derives documentation, SDKs, and MCP servers from it.

50%
Unverified

Cortex supports five types of API specifications as input formats: OpenAPI, AsyncAPI, GraphQL, gRPC, and OpenRPC.

50%
Unverified

Cortex derives three types of artifacts from API specifications: interactive documentation, typed SDKs, and MCP servers.

50%
Unverified

The typed SDKs generated by Cortex cover 11 programming languages.

50%
Unverified

By including MCP servers as a default output, Cortex differentiates itself from traditional API code generators such as Swagger Codegen and OpenAPI Generator, serving both human developers and AI consumers.

50%
Unverified

Typed SDKs use the language's native type system to solidify API request and response structures, and regenerating after a specification file update synchronizes all language versions.

50%
Unverified

As an open-source project, Cortex allows teams to self-host and review the generation logic, avoiding hosting API specifications with third-party closed-source services.

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The actual generation quality of Cortex still needs to be verified through real-world testing, including whether the SDKs conform to idiomatic usage in each language, MCP server reliability, and the degree of support for complex API specifications.

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Cortex converts information into typed claims with explicit semantic types rather than unstructured text fragments.

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When contradictory information arises, Cortex tracks the contradiction rather than overwriting the old memory.

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Cortex claims to complete integration with Claude in 2 minutes and is compatible with any MCP client.

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Cortex is deployed on EU infrastructure and complies with data compliance requirements such as GDPR.

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Cortex's core engine is patent-pending.

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Cortex is a hosted semantic memory service, allowing developers to avoid building their own vector databases or maintaining memory pipelines.

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According to official data, approximately 80% of write requests in production environments are judged by Cortex to be redundant and directly rejected.

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Cortex was independently developed by a single independent developer, Filippo Pilotta, from Bergamo, Italy.

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