Good fit if
- Engineers and operators running long-horizon or RAG-backed agents
- Teams whose agents degrade as context grows
- Orchestrator agents applying written context policy
Infrastructure & Governance
# 1 of 27 · launch sequence
Agent Context Engineering OS
A complete operating system for the context window: executable budget policies, compaction contracts with must-survive lists, retrieval caps, anchored context audits, and session-handoff manifests that keep long-running agents coherent.
v1.0.0-rc1
Medium risk
15-min quick start
Select a one-time tier below
View agent record
Built for: agent-engineers · operators-of-long-horizon-agents · rag-stack-builders · orchestrator-agents ·
agent://products.json
200 OK
{
"id": "agent-context-engineering-os",
"version": "1.0.0-rc1",
"price_usd": { "lite":39, "std":89, "prem":149 },
"risk_level": "medium",
"reversible": true,
"checkout": { "enabled": true },
"purchasable": true
}
See how it fits your agent stack
Agent / Operator
requests an action
Agent Context Engineering OS
CLM-5 method
Context-Budgets/
Compaction-Policies/
Context-Audits/
Retrieval-Rules/
Governed state
audited & reversible
Human approval gate
Preview-before-apply
Rollback path
Discover
read the record
Evaluate
Medium risk · 7 systems
Install
new Context-Budgets/
Preview
diff before apply
Approve
human gate
Audit & rollback
CHS-100 audit
Non-destructive by rule — new-folder install, never overwrite, human-approval gates for risky steps, rollback included.
agent-context-engineering-os/
Context-Budgets/
Compaction-Policies/
Context-Audits/
Retrieval-Rules/
README.md
AGENT-INSTRUCTIONS.md
Integration/ROLLBACK-GUIDE.md
Format & setup
FormatMarkdown + JSON file kit (plain text, tool-agnostic)
Skill levelIntermediate; beginner-usable via quick start
Quick start15 min
Full setup120 min
CLM-5 method, six-class selection framework (K1-K6), budget + compaction policies with JSON reference instances, isolation rules, sensitive-context human gates, long-running task protocol, retrieval caps, CHS-100 scorecard, drift regression tests, handoff manifest schema + template, 2 worked examples, 16-doc integration pack, 5 upgrade modules, 10-doc differentiation folder
# Non-destructive lifecycle — nothing runs without preview + approval
$ agent read ./agent-context-engineering-os/manifest.json # metadata, risk, compatibility
$ agent install --new-folder ./agent-context-engineering-os # never overwrites existing files
$ agent apply --preview # preview-before-apply diff
$ agent verify ./agent-context-engineering-os --scorecard CHS-100 # Context-Budgets contracts
⚠ gated steps require named human approval before execution
$ agent rollback ./agent-context-engineering-os # Delete the install folder (complete remo
✓ folder removed — nothing else touched
{
"required_permissions": ["write access to one new buyer-chosen folder"],
"integration_modes": ["standalone", "drop-in-upgrade", "advanced-integration", ],
"compatible_systems": [
"Claude (Projects, Skills, Claude Code)",
"ChatGPT (Custom GPTs, Projects)",
"any LLM chat assistant",
"RAG stacks",
],
"license_type": "single-operator",
"checkout": { "enabled": true, "status": "polar_active" }
}
The problem it solves
Context flooding, compaction that silently loses load-bearing facts, retrieval overload, and no budget policy for what deserves window space.
Use cases
keep a week-long coding agent coherent across sessions
govern a research agent's window across many sources
allocate context across sub-agents
verify nothing load-bearing died in a compaction
manifest-based session handoffs
cap retrieval injection per class
Safety & permissions
Non-destructive by rule
Plain-text kit; executes nothing; no transcript leaves the buyer's environment. Sensitive-context classes require human review before admission or carryover. Never claims control over platform-internal compaction.
Required
write access to one new buyer-chosen folder
Rollback
Delete the install folder (complete removal). Deeper integrations: Integrations/ROLLBACK-GUIDE.md.
For an evaluating agent
File kit running the context window as a governed budget: six context classes with shares and eviction order, compaction contracts with verified must-survive lists, retrieval caps, CHS-100 anchored audits, drift regression tests, handoff manifests. platform_control_claimed: false. Non-destructive install, delete-folder rollback, no credentials. Production: live and purchasable through verified Polar checkout; verified Polar checkout is active on this page.
Buyer decision
Is Agent Context Engineering OS right for me?
Problem addressed: Context flooding, compaction that silently loses load-bearing facts, retrieval overload, and no budget policy for what deserves window space.
Probably not a fit if
- Buyers expecting software that manages context automatically
- Casual chat users without an agent stack
- Anyone wanting a hosted memory service
Included
Context-Budgets/, Compaction-Policies/, Context-Audits/, Retrieval-Rules/ folders with JSON reference instances plus the standard instruction/integration/upgrade architecture.
Not included
- No software, app, executable, or code that runs by itself
- No hosted service, account, login, or cloud dashboard
- No live integrations: Zapier/Make items are written blueprint descriptions, not built Zaps or scenarios
- No API access, API keys, credentials, or third-party subscriptions
| Tier | Price | Canonical depth | License |
|---|---|---|---|
| Standard | $89 USD | Full product: all templates, harnesses, SOPs, integration pack, and samples. | Single-Operator |
| Premium | $149 USD | Standard plus all 5 upgrade modules (Basic, Pro, Agent, Automation, Safety) and priority support. | Single-Operator |
Bundle membership
Compatibility and limits
'OS' means a document operating system - files and methods, not running software You must apply budgets/policies inside your own agent framework No vector database or retrieval infrastructure is included
Three one-time tiers — verified Polar checkout active
Lite
$39
Core templates & quick-start path. Best for testing the system manually first.
Buy Lite — one-timeStandardpopular
$89
Full product: all templates, harnesses, SOPs, integration pack, and samples.
Buy Standard — one-timePremium
$149
Standard plus all 5 upgrade modules (Basic, Pro, Agent, Automation, Safety) and priority support.
Buy Premium — one-timeEach tier uses its verified Polar checkout. See full pricing and bundles.
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In bundles: Wave 1 Agent Infrastructure Stack ·
Decision guides involving this product
- Prompt Engineering vs Context EngineeringChoose between reusable task instructions and long-running context controls, or decide when an agent workflow needs both.
- Agent Memory Governance vs Context EngineeringChoose between persistent-memory policy and active context-window management for long-running AI agents.
Related categories
- Prompt & Context EngineeringMethods for reliable prompts, context budgets, governed memory, workflow specifications, and evidence-based output review.
Available in canonical bundles
These bundle memberships come directly from the canonical bundle catalog. Compare the exact contents before purchase.