SWE-grep
SWE-grep and SWE-grep-mini are Cognition’s language-model specialization for fast multi-turn code-context retrieval. They generate tool calls to grep, glob, and read files, then select relevant files and line ranges for a downstream coding model. Reinforcement learning rewards retrieval quality while encouraging parallel exploration within a small number of serial turns. These are generative agentic search models, distinct from embedding-based retrieval, and were publicly served through Windsurf’s Fast Context subagent. The mini checkpoint is grouped with the same release. Their architecture, parameter counts, and standalone inference limits were not disclosed, and no public weights were announced.
2025-10-16
Undisclosed
Proprietary
Specifications
- Architecture
- Undisclosed
- License
- Proprietary
- Type
- text
- Modalities
- text
Benchmark Scores
Advanced Specifications
- Model Family
- SWE
- API Access
- Not Available
- Chat Interface
- Not Available
- Variants
- SWE-grep-mini
Capabilities & Limitations
- Capabilities
- agentic code searchparallel tool callscontext retrieval
- Known Limitations
- Specialized for retrieval rather than general coding assistanceAccuracy depends on the search tools and repository environmentNo public standalone model endpoint or weights verified
- Notable Use Cases
- codebase explorationfinding relevant files and linescoding-agent context gathering
- Function Calling Support
- Yes
- Tool Use Support
- Yes