Cohere open-sources Transcribe, Command A+, and North Mini Code under Apache 2.0

// 3h agoOPENSOURCE RELEASE

Cohere open-sources Transcribe, Command A+, and North Mini Code under Apache 2.0

Cohere has recapped its open-source AI model releases for the year, which include the Transcribe speech model, the Command A+ enterprise model, and the North Mini Code agentic coding model. All three models are available under the Apache 2.0 license to empower developers and organizations to fully own their AI infrastructure, with more open-source releases promised to follow.

// ANALYSIS

Cohere's commitment to permissive Apache 2.0 releases gives enterprises true sovereignty over their AI stack without licensing friction or API lock-in.

* Releasing models under Apache 2.0 removes commercial usage barriers and enables full self-hosting and customization.

* Covering speech processing, general enterprise intelligence, and agentic coding demonstrates a versatile open-weights strategy.

* Teasing "more to come" maintains ecosystem momentum and strengthens developer trust in Cohere's open AI roadmap.

// TAGS

cohereopen-sourceapache-2.0transcribecommand-a+north-mini-codeai-modelsllm

DISCOVERED

3h ago

2026-07-27

PUBLISHED

7h ago

2026-07-26

RELEVANCE

8/ 10

AUTHOR

cohere

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

UPDATE32m ago

OpenCode 1.18.6 fixes MCP refresh and branch caches

OpenCode version 1.18.6 introduces key stability fixes and performance improvements across its desktop application and underlying client interfaces. This update resolves provider and Model Context Protocol (MCP) refresh issues in App v1, stabilizes v2 client compatibility by pinning the UI to a versioned `@opencode-ai/client` snapshot, and isolates remote reference caches by git branch to prevent cross-branch state collisions.

OPEN SOURCE1h ago

ESP32 AI Runs 28.9M Model at 9.5 Tokens/Sec

ESP32 AI is an architectural experiment by slvDev that runs a 28.9-million-parameter TinyStories language model locally on an $8 ESP32-S3 microchip without relying on external cloud servers. By keeping a 25-million-parameter embedding table in memory-mapped SPI flash to fetch token rows on demand, the project successfully circumvents tight microcontroller RAM limitations while maintaining a generation throughput of approximately 9.5 tokens per second.

OPEN SOURCE1h ago

Open Science v0.7.2 boosts research workflow transparency

AIPOCH has released Open Science v0.7.2, an update to its open-source, model-agnostic AI workbench for scientific discovery. The new release prioritizes making AI research workflows more transparent, controllable, and easier to manage as researchers increasingly rely on autonomous agents for complex scientific tasks.