Julep 3
Apache-licensed Python framework for typed, durable agent flows with retries and explicit capabilities
You are leaving botconomy for the provider’s website. Link verified 9/23/2026.
What this product helps you do
Julep 3 is a ground-up rewrite of the earlier Julep agents API. It treats agents as composable dataflows: developers define typed @flow functions, register tools and reasoners, freeze the allowed capability surface at deployment, and inspect the resulting graph and trace. The base Python package can compile and dry-run flows without an API key; optional extras add Temporal or DBOS durability, HTTP and MCP calls, provider adapters, OpenTelemetry, artifact storage, WebAssembly execution, and a self-hosted control plane. Julep 3 is currently a release candidate installed with the pre-release flag, and the project states that there is no migration path from Julep v1.
Problems it solves
- Ad-hoc agent loops are difficult to resume, retry safely, inspect, and reason about after failures
- Agent applications need typed tool, reasoner, branching, fan-out, timeout, and retry semantics in one graph
- Production teams need the permitted tool and model surface frozen and validated before execution
- Developers need local deterministic dry runs plus optional durable runtimes and control-plane deployment
No product media available
Julep 3 is an Apache-licensed Python framework that compiles typed agent flows into frozen execution graphs with tools, reasoners, pure functions, branches, fan-out, retries, timeouts, and explicit capability checks.
The base package supports local compilation and dry runs. Optional extras add durable runtimes, providers, MCP and HTTP calls, tracing, a control plane, and deployment tooling. Julep 3 is currently a release candidate and is not compatible with Julep v1.
Information
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Julep 3
Apache-licensed Python framework for typed, durable agent flows with retries and explicit capabilities
No product media available
Julep 3 is an Apache-licensed Python framework that compiles typed agent flows into frozen execution graphs with tools, reasoners, pure functions, branches, fan-out, retries, timeouts, and explicit capability checks.
The base package supports local compilation and dry runs. Optional extras add durable runtimes, providers, MCP and HTTP calls, tracing, a control plane, and deployment tooling. Julep 3 is currently a release candidate and is not compatible with Julep v1.
What this product helps you do
Julep 3 is a ground-up rewrite of the earlier Julep agents API. It treats agents as composable dataflows: developers define typed @flow functions, register tools and reasoners, freeze the allowed capability surface at deployment, and inspect the resulting graph and trace. The base Python package can compile and dry-run flows without an API key; optional extras add Temporal or DBOS durability, HTTP and MCP calls, provider adapters, OpenTelemetry, artifact storage, WebAssembly execution, and a self-hosted control plane. Julep 3 is currently a release candidate installed with the pre-release flag, and the project states that there is no migration path from Julep v1.
Problems it solves
- Ad-hoc agent loops are difficult to resume, retry safely, inspect, and reason about after failures
- Agent applications need typed tool, reasoner, branching, fan-out, timeout, and retry semantics in one graph
- Production teams need the permitted tool and model surface frozen and validated before execution
- Developers need local deterministic dry runs plus optional durable runtimes and control-plane deployment
Information
You are leaving botconomy for the provider’s website. Link verified 9/23/2026.
Related AI products
Griptape Framework
Griptape Framework supplies modular Python abstractions for agents, sequential pipelines, parallel workflows, tools, memory, retrieval, evaluation, multimodal engines, and swappable model, data, storage, and observability drivers.
MagickML
MagickML provides a visual node builder for creating AI-agent workflows, combining model choice, document processing, custom nodes, event-driven execution, integrations, testing, and deployment with open-source code and hosted metered billing.
Dify
Dify is an open-source platform for visually building agents, workflows, chatbots, and RAG applications, then publishing them as web apps or APIs on Dify Cloud or self-managed infrastructure.