Trama – Stop writing agent orchestration
Versioned code artifacts replace static LangGraph definitions for persistent runnable agent workflows.
Orchestrate an entire AI dev team on 5GB VRAM. Ephemeral subagents, exact-match diffs. Single static binary, any model. Zero config, zero context bloat.
Subagent loops with strict diff parsing beat context stuffing, but llama.cpp needs a specific PR branch.
Developers running local LLMs (llama.cpp, Ollama) who want coding agents without API calls or token bloat.
Cursor (agentic coding) · Cline/Continue (local LLM agents) · OpenDevin (task orchestration)
Versioned code artifacts replace static LangGraph definitions for persistent runnable agent workflows.
Deterministic FSM guards LLM outputs to prevent hallucination spirals in .NET.
Promises smart model routing but only ships a hello-world plugin so far.
Snapshots active Wasm memory to migrate agents edge-side, cutting context latency.
LangGraph patterns in Rust with type safety, 300 stars and real production examples.
Integrity-first config substrate with hash-linked history and cryptographic replay verification.