AnythingLLM vs Together AI
Side-by-side trajectory, velocity, and editorial themes.
AnythingLLM is morphing from a doc-chat tool into a local-first OS-level agent.
Recent releases have layered an OS-level desktop overlay (v1.11.0), a meeting-recording Desktop Assistant pitched as a Granola/Otter replacement (v1.10.0), and frictionless 'no @agent needed' tool calling (v1.12.0). v1.12.1 polished the document-embedding pipeline with streaming progress and rolled out built-in app integrations for agents.
The product is escaping the chat window. The arc from v1.10 → v1.12 is unmistakable: meetings, screen context, OS hotkey, then tool-calling that doesn't require a special invocation. AnythingLLM is staking out the local-first, privacy-preserving end of the agent market — owning the device rather than depending on a cloud orchestrator — and using free desktop-only features (overlay, assistant) to make that argument concrete.
Next likely move is broader app-integration coverage and a sharper push on offline agent skills, alongside Mobile leaving the experimental flag. Expect more on-device model orchestration that ties the overlay, assistant, and tool-calling pipeline into one ambient surface.
Together AI is pricing itself as the open-stack alternative to frontier coding-agent APIs.
Together is hammering on two things: (a) inference economics, with a benchmark claiming 76% lower cost than Claude Opus 4.6 on coding-agent workloads, and (b) breadth of model surface, evidenced by day-0 Nemotron 3 Nano Omni, DeepSeek-V4 Pro at 512K context, and Goose-driven 'deploy any HuggingFace model' tooling. Side outputs — a voice finder, the Violin video-translation tool, and a Pearl Research Labs crypto-inference partnership — broaden the developer surface without changing the core narrative.
Together is positioning to be the default API for teams running coding agents on open models, with explicit price/perf comparisons against closed labs. The pattern of day-0 launches plus dedicated container offerings makes the strategy clear: any open frontier model should be one click away on Together. Crypto-adjacent and partnership work (Pearl, Adaption) reads as experimentation rather than core roadmap.
Expect more cost-comparison content against named frontier APIs and a tighter coding-agent SKU (likely a benchmark-grounded preset for Cursor/Aider-style workloads). Day-0 launch cadence will continue as the differentiator versus AWS Bedrock and other neoclouds.
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