continuum: Instructions file for Codex

AGENTS.md

continuum AGENTS.md is an instructions file for Codex, OpenCode from shyftlabs/continuum. It costs 4,869 tokens per session, scanned A, original, Apache-2.0.

A repository knowledge file for Continuum, a Python framework for building AI agents and workflows. It documents the framework's agents, memory, model providers, tools, durable workflows, and observability setup.

In plain words
What is it for?
Use it as reference when developing or maintaining Continuum code, configuring its services, or working with its agent workflows and APIs.
Why use it?
It gives coding agents a shared overview of the project so they can make changes that match its architecture and setup requirements.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

This is shyftlabs/continuum's own configuration. It tells Codex and OpenCode how to work on continuum itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything continuum configures →

Reuse

Borrowing it

Nothing to install: this file belongs to shyftlabs/continuum. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/shyftlabs/continuum/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/shyftlabs/continuum

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for continuum AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/shyftlabs/continuum/agents-md/github.svg)](https://agentmods.dev/instructions/shyftlabs/continuum/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/shyftlabs/continuum/agents-md"><img src="https://agentmods.dev/badge/instructions/shyftlabs/continuum/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for continuum AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/shyftlabs/continuum/agents-md"><img src="https://agentmods.dev/badge/instructions/shyftlabs/continuum/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 4,869 This file is loaded in full into every session.
When invoked 4,869 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.04869 $0.04869
Opus 5.5 $0.01948 $0.01948
Sonnet 5.5 $0.00974 $0.00974
Haiku 4.5 $0.00487 $0.00487

Measured 1mo ago against content hash 3a5635ab5f09, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

continuum AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 500 lines

How it starts

The opening of the file, as written. The whole thing — 500 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Continuum — AI Assistant Knowledge Pack

Loaded automatically by OpenAI Codex CLI, Claude Code (via CLAUDE.md import), Cursor (via .cursor/rules/continuum.mdc), and other agents that respect the AGENTS.md convention.

Goal: give the assistant enough context to write correct Continuum code on the first try.


What is Continuum?

A Python 3.13 agentic framework by ShyftLabs. Provides:

  • BaseAgent (dataclass) + AgentRunner (executor)
  • Multi-LLM via direct provider SDKs (OpenAI / Anthropic / Gemini — not LiteLLM)
  • Two-tier memory: short-term Redis sessions + long-term mem0 + Qdrant
  • MCP-native tool integration (Stdio / SSE / StreamableHTTP)
  • 9 workflow agents (Router, Sequential, Parallel, Loop, Reflection, Planner, Debate, Scatter, SupervisedSequential)
  • Optional Temporal durable workflows with human-in-the-loop approval gates
  • Langfuse observability and tracing

Distributed as a Python package — pip install shyftlabs-continuum (or pip install -e . from a checkout). Importable as from continuum import ... — the wheel name on disk is shyftlabs-continuum, the import name is continuum.


Repository layout

continuum/
├── AGENTS.md / .cursor/rules/continuum.mdc          # this file
├── .claude/skills/continuum-*                        # 13 invocable skills
├── README.md                                         # project overview
├── pyproject.toml                                    # package metadata
├── src/continuum/                                 # framework source
│   ├── agent/, llm/, memory/, session/, tools/,
│   │   observability/, core/, evaluation/, temporal/
│   ├── config.py, protocols.py, exceptions.py
├── docs/                                             # API reference
│   ├── agent.md, llm.md, memory.md, session.md, tools.md,
│   │   observability.md, core.md, installation.md
│   └── temporal/*.md
├── tests/                                            # pytest suite (unit / integration / e2e)
├── playground/                                       # runnable example apps
│   ├── memory-modes-demo/, sdk_feature_test/,
│   │   commerce-chat/, fetch-agent/, assortment/
├── docker-compose.yml                                # Redis + Qdrant + Langfuse stack
└── .env.template                                     # API keys go here

Read the full file on GitHub · 500 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 500 lines · 4,869 tokens per session scan A 3a5635ab5f09

Subscribe to this mod's changes

continuum AGENTS.md is an instructions file published in the GitHub repository shyftlabs/continuum (84 stars, last pushed 15d ago), licensed Apache-2.0. It adds 4,869 tokens to every session, about $0.0195 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other instructions, from other repositories

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,649 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,549 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,262 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,680 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,731 tokens

deno copilot-instructions.md

Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.

denoland/deno · 3,077 tokens