Parcha Labs releases AgentRun DSL beta for building agent workflows
Parcha Labs, Inc. announced the beta release of AgentRun, a domain‑specific language that lets developers turn AI agents into repeatable workflows. The initial version, 0.1.0‑beta.4, runs on Node 22.19+ and can be installed with npm packages @parcha/agentrun-dsl@beta and @parcha/agentrun-jev@beta. AgentRun lets users define steps in JSON or TypeScript, embed Jev‑powered decision nodes, and call…
Key points
- Parcha Labs released AgentRun DSL version 0.1.0‑beta.4 for defining repeatable agent workflows
- The tool integrates Jev decisions, Pi extension, and runs on Node 22.19+ with npm install commands
- Workflows can be written in JSON or TypeScript, support parallel mapping, loops, and escalation paths
The toolkit includes a Pi extension (version 0.87.0) that lets the Pi model build, inspect, and execute workflows directly from a chat session. Example demos cover ticket‑routing and scripted research, all without requiring an API key for the demo runs. Workflows support parallel mapping, bounded loops, escalation paths, and runtime state validation. The code and documentation are released under the Apache‑2.0 license, with contributions from Grep.ai, and the project is hosted on GitHub.
AgentRun aims to simplify the orchestration of LLM‑driven agents for developers, offering typed contracts, sandboxed execution, and easy integration into existing toolchains.
Show HN: AgentRun: DSL to turn agents into workflows
github.com · 23 September 2026Loading the full article…
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