Execution governance for AI agents. Identity, policy, and audit trails for agents running across cloud, on-prem, and edge hardware.
Agent Taskflow is a complete platform for building, running, and governing AI agents. Create agents with configurable reasoning, connect them to any model provider, give them tools and memory, run them on schedules or in response to events, evaluate their quality, optimize them automatically, and prove what ran, where, and when.
Everything ships with identity, policy, and audit trails. Agents register with cryptographic certificates, execute on approved hardware, and produce signed receipts. Cloud, on-prem, or edge. Any model. Any framework.
Create agents with custom instructions, personas, and configurable reasoning patterns. Choose from zero-shot, chain-of-thought, ReAct, and more.
Every agent execution is observable from start to finish — context assembly, reasoning, tool use, response validation, and error recovery.
Agents can browse the web, search, read and write files, run code, call APIs, execute shell commands, and use any MCP-compatible tool.
Cross-session memory with automatic entity extraction. Agents remember prior interactions and build knowledge over time.
Ingest documents, embed them, and let agents query organizational knowledge mid-conversation. Semantic and hybrid search.
Compose teams of specialized agents that collaborate on tasks. Define roles, dependencies, and coordination strategies.
Drag-and-drop workflow builder for multi-step automation. Sequential, parallel, branching, and looping steps. Version history on every save.
Describe what you want in plain English and the platform generates the flow. Modify visually from there.
Build jobs with heterogeneous steps — agent calls, API requests, scripts, flow executions. Run on devices or in cloud.
Visual cron builder for recurring schedules. Event-driven triggers for real-time processing. Manual dispatch with custom payloads.
Connect to OpenAI, Anthropic, Cohere, AWS Bedrock, Google Vertex, Azure OpenAI, IBM watsonx, Groq, xAI, Fireworks, Hugging Face, OpenRouter, or any OpenAI-compatible endpoint. Run local models with Ollama or vLLM.
Built-in load balancing, cost-aware routing, response caching, and circuit breakers across providers. Bring your own API keys or use platform-managed credentials. Set model policies to control which teams can use which providers.
Define evaluations as deterministic checks, confidence-based scoring, or LLM-as-judge. Organize into test suites. Track performance over time.
Compare two agent configurations or prompt variants on the same eval suite. Statistical summary and visual comparison.
Optimize agents, prompts, flows, and schemas using reinforcement learning, genetic algorithms, or grid search. Apply the best variant in one click.
PII detection, toxicity filtering, pattern matching, and LLM-based classification. Block, warn, or redact automatically. Compliance dashboards.
Every device registers with a SPIFFE-based cryptographic identity. Zero-trust across your entire fleet.
Deploy lightweight runners to any hardware. Outbound-only connectivity — no inbound ports, no exposed attack surface.
Establish encrypted tunnels between devices and the platform. Health monitoring, automatic protocol selection.
Every run produces a signed receipt: device identity, output hash, timestamps. Cryptographic proof, not just logs.
Generate compliance reports on demand. Data subject access requests, audit exports, and right-to-erasure workflows built in.
Policy decides what runs, where. Route workloads to specific machines. Enforce data residency at the hardware level.
Version-controlled libraries of reusable prompts and JSON schemas. Template system with variable substitution. Full lifecycle management.
Subscribe to platform events via outbound webhooks. Receive external events via inbound endpoints. HMAC verification, retry policies, delivery logs.
Import any OpenAPI spec to auto-generate agent tools. Connect MCP servers with role-based permissions and full authorization audit trails.
On-demand container environments for agents and jobs. Persistent filesystems, terminal access, resource limits.
Track costs by agent, flow, user, or team. Allocate budgets with agent wallets. Hard stops when limits are reached.
Full web dashboard, command-line interface, Go and Python SDKs, and a gRPC/REST API. Ship however you work.
Book a demo. We will run agents on your hardware in 30 minutes.
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