Alternatives
Products that do what Wazear does
A visual AI orchestrator where agents check their own work
- 1WA
Hey folks, For the past month I've been working on a visual AI orchestartor tool that allows users to create a pipeline similar to SDLC. Basically you fire up Wazear, create a project and add your brief. You select the agents (each agent serves a role such as planner, architect, etc...) and set which agent reviews which other agent's work and let it do the work. At any point you can pause the pipeline to review output yourself. You can check it out here: https://wazear.space. Any feedback is welcome. Thank you very much. Best Regards.
Apr 2026
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Hello Folks! Agentic Orchestrator is a terminal tool that takes complex feature requests and builds them by orchestrating coding agents through a series of phases that emulate a full-fledged engineering flow: requirements clarification, research, design, multi-phase planning, implementation, and review. It is a single pane of glass for all your features and exposes post-publish utilities such as resolving merge conflicts and responding to review comments. The key design choice is that this is deterministic orchestration on top of undeterministic agents: things like "human review gates",…
Jun 2026 · github.com
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Parallax▲109Local-first AI orchestrator for software development tasks.
Mar 2026 · parallax.maxigimenez.xyz
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I have spent a long time working in an XP/TDD style, so when AI coding tools became useful enough for real work, I adopted them quickly. The first bottleneck I hit was not code generation, it was verification: AI could write code and tests quickly, but I was still the person reviewing implementations, clicking through flows, checking logs, inspecting database state, and deciding whether the result was actually correct. That pushed me to move validation further left. Before implementation, AI had to produce test plans. After implementation, it had to execute those plans too: drive the…
Mar 2026
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The open-source AI workstation for coding, ops, and life
Apr 2026 · lukan.ai
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Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Feb 2026 · github.com
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Nov 2025 · github.com
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Agents orchestrating other agents. Contribute to backnotprop/orchestrator development by creating an account on GitHub.
Jul 2026 · github.com
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Measure, compare, and improve AI with evidence.
19d ago · waltrump.ai
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