Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.
- agentic-ai
- ai
- ai-agents
- golang
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Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.
PHP ETL - parquet library
Multi-agent orchestration & workflow engine. Declarative YAML workflows, LLM coordinator with hub-and-spoke mailboxes, race-safe delivery. One YAML file, one Go binary. Runs on any goai-supported provider.
A library to build and execute typed scientific workflows
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Lightweight, self hosted platform for building webhooks, scheduled tasks and pages. Implement your logic with Bash, Lua or mRuby
A Go-based framework has been developed to oversee the execution of workflows delineated by directed acyclic graphs (DAGs).
Production-ready Go framework for gRPC + HTTP APIs with MongoDB ODM, zero-config SSL, Temporal workflows, cloud utilities, and bootstrap CLI.
The open-source safety layer for AI agents — block unsafe tool calls, require approval, enforce budgets, audit, replay.
Distributed, Scalable, Fault-Tolerant, Minimalistic Workflow Engine - No DAGs, No YAML, No Cumbersome Diagrams, Just Code
A Python package for automating VideoIPath configuration workflows.
Local-first automation Agent & deterministic workflow engine — the secure control layer between AI and your data. Data stays local. Connect your own LLM / files / notes / databases via Connector API. ReAct reasoning · DAG/WAL/Saga/idempotent execution · MCP · offline-capable.
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