# Agents > Portable, project-isolated Agents workflow governance, validation, and deployment templates for Codex projects. - **Type:** MCP server - **Install:** `agentstack add mcp-jaredlin1217-agents` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [JaredLin1217](https://agentstack.voostack.com/s/jaredlin1217) - **Installs:** 0 - **Category:** [Integrations](https://agentstack.voostack.com/c/integrations) - **Latest version:** 0.1.0 - **License:** Apache-2.0 - **Upstream author:** [JaredLin1217](https://github.com/JaredLin1217) - **Source:** https://github.com/JaredLin1217/Agents ## Install ```sh agentstack add mcp-jaredlin1217-agents ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Jared's AI Team [](https://github.com/JaredLin1217/Agents/actions/workflows/checkpoint.yml) [](https://github.com/JaredLin1217/Agents/actions/workflows/public-updates.yml) Jared's AI Team is a repo-local AI Agents workflow system for Codex-style engineering sessions. It provides compact routing rules, project-local operating policy, deployable governance files, runtime evidence boundaries, multi-agent coordination contracts, official-docs-first foundations, freshness-bound durable memory, change-aware verification, and release packaging checks. The repository is intentionally small and source-neutral. It is designed to be deployed into target projects without copying local runtime state, live Codex configuration, private thread identifiers, approval scratch files, or provider repo history. ## Current Version Current Agents workflow version: `2.8.0` (`precision-efficiency`). Canonical version source: `docs/agents/version.yaml` Version positioning: 2.8.0 is the latest-only precision release. It uses progressive disclosure, one state owner, freshness-bound durable memory, change-aware verification, and current official foundations to reduce routine context and verification cost without weakening release evidence. ## What This Project Provides ### Compact AI Runtime Routing `docs/agents/ai-runtime.yaml` is the first routing layer after `AGENTS.md`. It keeps default context small and expands only the named canonical YAML files needed for the current task. This keeps ordinary turns fast while still allowing deeper routes for deployment, multi-agent work, runtime evidence, provider adapters, route packs, knowledge footprints, and foundation creation. ### Foundation Creation Governance The `docs/agents/*.yaml` files define the project-owned operating standard: policy, verification, deployment, organization, model tiering, dispatch, schemas, runtime execution evidence, collaborator windows, context compaction, foundation creation, and official OpenAI capability boundaries. `docs/agents/openai-foundations.yaml` converts official OpenAI documentation into project-native primitives for Structured Outputs, conversation state, agent handoffs, Codex instructions, skills, memories, subagents, prompt caching, compaction, token counting, predicted outputs, and evaluation-backed release decisions. ### Durable Memory With Freshness `docs/memory/index.md` is the compact recall index. Detailed entries are loaded only when the current route needs them, are capped by the context budget, and must carry source references, confidence, status, and review dates. Current repository evidence always overrides remembered state; checked-in memory never overrides canonical policy. ### Runtime Evidence Without Repo Pollution Runtime evidence is local by design. Files such as `.agents/runtime/**`, `.workflow/**`, local Codex configuration, status files, temporary approval records, and live collaborator state are ignored or blocklisted from release packages and deployments unless a task explicitly authorizes a targeted runtime operation. ### Deployable Workflow Package The deployment system can install the AI Agents workflow into another authorized repository using an allowlisted file set. It supports dry-run first operation, target layout detection, target-owned state preservation, source neutral template checks, and release package export. ### Multi-Agent and Enterprise Dispatch Contracts The workflow includes optional two-layer dispatch for controller, department leaders, and workers. It defines assignment fields, reports, scoring, reconciliation, cleanup evidence, collaborator windows, and escalation boundaries. Runtime multi-agent claims require live employee evidence. ## Repository Map | Path | Purpose | |---|---| | `AGENTS.md` | Repo-local session rules and closeout contract. | | `.agents/skills/project-isolation-workflow/` | Project-local skill for isolation, memory, deploy, agents, handoff, skills, and maintenance. | | `docs/agents/` | Canonical AI Agents workflow YAML files. | | `docs/runbooks/` | Human-readable operating procedures. | | `docs/templates/agents/` | Source-neutral deployable template bundle. | | `schemas/` | Lightweight schema contracts used by validation. | | `scripts/` | Validation, deployment, release, route-pack, runtime, and cleanup helpers. | | `tests/agents-governance-fixtures/` | Validation fixtures for schema and workflow contracts. | | `artifacts/` | Provider-side audit and evaluation artifacts. | ## Read Order 1. `AGENTS.md` 2. `docs/agents/ai-runtime.yaml` 3. Route-specific canonical YAML named by `ai-runtime.yaml` 4. `docs/agents/verify.yaml` before state claims, edits, commits, deployment, or release 5. `docs/project-structure.md` for ownership and deployability boundaries Do not use `docs/templates/agents/**` as the active rule source. Templates are deployment material, not the current repo's live operating authority. ## Core Commands Change-aware validation for routine work: ```powershell .\scripts\validate-changes.ps1 -Profile Auto -Explain ``` The auto profile selects `Fast`, `Policy`, or `Full` from changed-path risk. Use an explicit profile when the claim scope requires stronger evidence. Full release readiness and quality score: ```powershell .\scripts\validate.ps1 -Full -Score ``` Capture sanitized v2.8.0 practice runtime release evidence: ```powershell .\scripts\capture-runtime-evidence.ps1 -OutputPath .\docs\evidence\releases\v2.8.0-runtime-evidence.json -Full -Practice -Quiet ``` Deployment dry-run into an authorized target: ```powershell .\scripts\deploy-agents-workflow.ps1 -TargetPath "D:\target\repo" -Mode core_bootstrap -LayoutProfile auto -DryRun ``` Upgrade an authorized target after dry-run review: ```powershell .\scripts\deploy-agents-workflow.ps1 -TargetPath "D:\target\repo" -Mode core_bootstrap -LayoutProfile auto -Upgrade ``` Runtime execution evidence example: ```powershell .\scripts\agents-runtime.ps1 -Action NewRun -RunId "example" .\scripts\agents-runtime.ps1 -Action AddStep -RunId "example" -Step "read_only" .\scripts\agents-runtime.ps1 -Action AddResult -RunId "example" -Result "completed" -Summary "read-only example completed" .\scripts\agents-runtime.ps1 -Action Verify -RunId "example" .\scripts\agents-runtime.ps1 -Action Cleanup -RunId "example" ``` Closed subagent residue verification: ```powershell .\scripts\agents-cleanup.ps1 -Action Verify -RuntimeIds "" -ParentThreadId "" .\scripts\agents-cleanup.ps1 -Action Cleanup -RuntimeIds "" -ParentThreadId "" -Force ``` Deterministic route-pack export: ```powershell .\scripts\export-route-pack.ps1 -RouteId core_system ``` Release package export: ```powershell .\scripts\export-release-package.ps1 ``` ## Validation Coverage The main validator covers: - Lightweight YAML syntax and required canonical files - AI runtime compact routing and expand-only route behavior - Canonical schema contract checks - Change-aware validation profile selection and changed-file syntax checks - Memory index, metadata, freshness, source-reference, and template integrity - Enterprise dispatch, workflow artifacts, context compaction, collaborator windows, and core runtime integrity - Runtime/local boundary checks - Durable English-only and placeholder gates - Exact-pair drift checks for deployable mirrors - Deployment manifest, blocklist, source-neutral template, and self-test checks - Multi-agent workflow integrity and cleanup evidence contracts - CI workflow stability - P0-P5 readiness evidence - Size gates for routing files, scripts, project skill, and tracked repository footprint - Release package export checks ## Operating Boundaries - Runtime state is local evidence, not deployable project source. - Target deployments preserve target-owned state by default. - Hard-isolation claims require current runtime, tool, OS, account, or cloud enforcement evidence. - Runtime multi-agent claims require live employee evidence and cleanup reconciliation. - OpenAI API, Apps SDK, Codex, Agents SDK, model, and tool guidance should use official OpenAI developer documentation first. - Global memory and global/system skills are off by default unless explicitly requested. ## Quality Target The project aims for a small, portable, evidence-backed AI Agents operating standard: - Compact default context - Clear route expansion - Source-neutral deployment - Runtime evidence without repository pollution - Repeatable validation and release checks - Explicit claim boundaries for multi-agent execution and hard isolation - Schema-first feature creation from official OpenAI capabilities - Latency, cost, fallback, and evaluation gates before release ## License Copyright 2026 Yu-Jie, Lin. Licensed under the Apache License, Version 2.0. See `LICENSE` for the full license text and `NOTICE` for the project notice and additional disclaimer. Unless required by applicable law or agreed to in writing, this repository is provided on an "AS IS" basis, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ## Source & license This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [JaredLin1217](https://github.com/JaredLin1217) - **Source:** [JaredLin1217/Agents](https://github.com/JaredLin1217/Agents) - **License:** Apache-2.0 Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/mcp-jaredlin1217-agents - Seller: https://agentstack.voostack.com/s/jaredlin1217 - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.