Back to directory

Continuum

A Python framework for building and running AI agents at scale, combining a typed agent core with cost-aware model routing, persistent memory, MCP-native tool calling and durable, resumable workflows.

Visit website (opens in a new tab)docs.continuum.shyftlabs.io
Continuum

Continuum is a Python framework, from ShyftLabs, for building, orchestrating and deploying AI agents. It brings together a strongly typed agent core with full lifecycle hooks and schema-validated structured output, nine composable multi-agent patterns such as sequential, parallel, loop, routing, planning, reflection, debate and supervised execution, and a small, type-safe API over all of it.

A cost-aware inference router classifies each request by complexity and sends it to the cheapest model that can handle it, with automatic failover across providers and no lock-in to a single one. Stateful memory combines persistent long-term recall with low-latency working memory, with multi-tenant isolation and built-in personal-data redaction, and tools are called through the Model Context Protocol across multiple transports with fine-grained scoping. Durable execution keeps long-running workflows crash- and restart-safe, with human approval gates, and distributed tracing and token, latency and error telemetry give full visibility into a run.

It targets both frontier and open-weight models through a single model identifier string, so switching providers does not require touching agent code.

More in Agent frameworks

See all 902
  • Recurse

    recurse.run

    A serverless harness that lets a coding agent design, test, and deploy its own specialist sub-agents as tools, MCP servers, or bots, defined by a schema-validated manifest.

  • ProofForge

    shulgin.is-a.dev

    An AI-agent pipeline that decomposes a mathematics problem, proves each piece, and formalizes the result in Lean 4 and Mathlib until the Lean kernel accepts it, with six of its proofs already merged into Google DeepMind's formal-conjectures repository.

  • local-coder

    github.com

    Builds a local coding-agent team on top of Ollama and OpenCode by detecting the machine's hardware, recommending models for seven specialist roles, and testing whether each assigned model can actually use tools, edit a repository and pass verification.