A developer shared scripts for running parallel Claude Code agents on Laravel using Orca, an agent development environment that creates isolated git worktrees. The setup uses SQLite databases and uniq…
Orca released img2blockbench, an open-source tool that converts a Minecraft-style reference image into a native Blockbench .bbmodel file using agent vision, optional mesh guidance, and deterministic c…
Kilo's Agent Manager, a built-in feature of its VS Code extension, and Orca, a standalone desktop app, both use git worktrees to run parallel AI coding agents, but differ in integration and review too…
The AI coding agent ecosystem is rapidly maturing, with new open-source tools like Orca for orchestrating parallel agents and AgentsView for cross-agent analytics emerging alongside research quantifyi…
Independent developer Christopher Karani released Orca, an open-source runtime safety layer that intercepts and can block or require approval for risky actions by autonomous AI coding agents such as C…
Christopher Karani released Orca, an open-source safety layer that intercepts and enforces policies on autonomous AI agents before they execute destructive commands like file deletion or secret leaks.…
Orca, a YC-backed Agent IDE from Stably AI, and Munder Difflin, an agent office that orchestrates autonomous workflows, are both free, MIT-licensed desktop apps for running multiple coding agents, but…
The term 'Agent Development Environment (ADE)' has two distinct meanings in 2026: Letta's original sense of a platform to build and debug agents themselves, and a newer sense, popularized by Orca, of …
Orca, an open-source Agent Development Environment (ADE) for running multiple coding agents in parallel, has gained 7,747 stars on GitHub with 1,949 new stars in the last week. Built by Stably AI, the…
Local AI serving engines like Ollama and vLLM offer different trade-offs between ease of use and throughput, with Ollama ideal for single users and vLLM for high-concurrency production workloads. The …
Continuous batching, introduced in the 2022 Orca paper, improves GPU utilization during LLM inference by dynamically updating the batch at each iteration, freeing slots as requests finish and immediat…