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TaskForze dynamic agent orchestration workflow
TaskForze - Autonomous Agent Workflow Orchestration
TaskForze is an autonomous AI agent swarm platform that orchestrates complex task decomposition, tool execution, and self-correcting workflows.
TaskForze delivers enterprise-grade workflow orchestration by coordinating distributed autonomous agents that dynamically plan, execute, verify, and iterate on complex multi-step technical workflows.
Problem
Complex enterprise workflows break down when simple linear scripts fail without self-healing or adaptive replanning.
Solution
TaskForze uses graph-based agent topologies with dynamic replanning, validation checkpoints, and tool retry mechanisms.
Features
Hierarchical agent swarm coordination
Deterministic state machine and execution rollback
Sandboxed Python & CLI tool execution
Real-time step-by-step progress streaming
Screenshots
Architecture
- 1User defines high-level goal and security policy
- 2Lead planner agent decomposes goal into DAG of executable sub-tasks
- 3Worker agents execute tools in isolated sandbox environments
- 4Critic agent verifies artifacts and approves or triggers replanning
Tech Stack
TypeScriptPythonFastAPIRedisDocker
Future Roadmap
- - Add asynchronous human-in-the-loop approval gates
- - Expand pre-built SaaS connector marketplace
- - Implement persistent memory across multi-day agent runs