LLM-driven workhorses for the Brainwires Agent Framework — chat agent, planner / judge / validator helpers, task agent, cycle orchestrator, summarization, system-prompt registry. Built on brainwires-agent for coordination primitives.
Agent coordination primitives + multi-agent patterns for the Brainwires Agent Framework — communication hub, file/resource locks, task manager/queue, git coordination, contract net, saga, optimistic concurrency, market allocation, workflow graph, three-state model. LLM-driven workhorses live in `brainwires-inference`.
Adaptive prompting techniques, K-means task clustering, and temperature optimization for the Brainwires Agent Framework
Speech (TTS / STT) provider clients for the Brainwires Agent Framework — Azure Speech, Cartesia, Deepgram, ElevenLabs, Fish Audio, Google TTS, Murf, plus browser-native `web_speech` (wasm32)
Codebase indexing + hybrid retrieval (vector + BM25) for the Brainwires Agent Framework. Includes AST-aware chunking via tree-sitter (12 languages), Git history search, and reranking via spectral diversity / cross-encoder.
Built-in concrete tools for the Brainwires Agent Framework — bash, file_ops, git, web, search, code_exec, semantic_search, browser, email, calendar, system. Built on `brainwires-tool-runtime`.
Tool execution runtime for the Brainwires Agent Framework — executor trait, registry, error taxonomy, sanitization, validation, transactions, smart router, plus optional orchestrator / OAuth / OpenAPI / sandbox / sessions / RAG-tool-search modules
The Brainwires Agent Framework — build any AI application in Rust
Agent-to-Agent (A2A) protocol — JSON-RPC, REST, and gRPC bindings
Core types, traits, and error handling for the Brainwires Agent Framework