Dify vs Comet
Side-by-side trajectory, velocity, and editorial themes.
Dify pivots from workflow builder to shell-executing agents in a sandbox.
Dify remains an LLM app and workflow platform, but its 2026 releases have steadily shifted weight toward agents. It has added human-in-the-loop workflow nodes, a sandboxed Agent+Skills runtime, and now an experimental Dify Agent that runs in a Linux sandbox and executes shell commands. The patch releases in between (1.14.1, 1.14.2) tightened self-hosting security and workflow reliability around that agent groundwork.
The direction is explicit: Dify is adopting the shell-based, code-executing agent paradigm, with its own preview docs hosted at a bash-is-all-you-need domain. Each release since 1.13.0 has moved from orchestrated workflows toward autonomous agents that run their own tools inside a sandbox, with Skills as the packaging format. The security hardening slotted between feature drops suggests it is readying this for self-hosted production rather than demos.
Expect 1.16.0 to graduate the experimental Dify Agent toward a stable release, with Skills distribution and sandbox controls as the next areas of investment.
Comet bends Opik from eval and tracing toward AI-cost governance.
Comet's feed centers on Opik, its LLM and agent evaluation and observability layer, plus a heavy run of content on controlling AI and Claude Code token spend. Recent posts announce Comet Cost Intelligence, a Test Suites eval workflow, and an Oracle Open Agent Specification integration, interleaved with educational pieces on evaluation-driven development and agent tracing.
Comet is widening Opik from evaluation and observability into cost governance for agentic systems, while hedging framework lock-in through standard agent specs. The AI-spend theme dominates the feed and now has a shipped capability behind it.
Expect more cost-governance and automated-eval features on Opik plus further framework and provider integrations; the volume of cost-tracking content suggests spend control is the near-term wedge into enterprise LLMOps.
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