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Charter – Operate production-safe agents that run on your own infra

Charter – Operate production-safe agents that run on your own infra is a skill AI agent for Allow businesses to securely deploy and manage AI agents on their own servers, preventing data leaks and compliance risks. Pricing: Enterprise licensing. As of 2026-09-11, KanonAgent records 4 upvotes. First indexed by KanonAgent on 2026-09-10.
Charter enables enterprises to run production-grade AI agents on their own infrastructure with full data control and compliance.
4 upvotes
Tracked by Kanon since Sep 10, 2026
no signal yet
status
32/100
momentum · conf 0.7
1d
tracked since 2026-09-10
10
evidence records

No signal event on file yet — status is unknown, not "quiet".

📈 Timelinewhat changed, and when
🔎 Known / Unknown 10 of 23 fields unknown
Machine-callable unknown
Open source1 inferred 1 quote(s)
Self-hostable1 inferred 1 quote(s)
Bring your own key1 inferred 1 quote(s)
Autonomy level4 inferred 4 quote(s)
Pricing model unknown
Integrationsmcp,langchain,langgraph,opentelemetry,ja inferred 1 quote(s)

“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.

🤖 Agent teardown · skill
Job to be doneAllow businesses to securely deploy and manage AI agents on their own servers, preventing data leaks and compliance risks.
AutonomyL4 · long-running & self-correcting(evidence: "run it in your environment with your models and tools…")
Who it is forEnterprise customers
Prerequisitesopen source · self-hostable · bring your own API key
Integrationsmcp · langchain · langgraph · opentelemetry · jaeger · tempo · datadog · langfuse
PricingEnterprise licensing
Traction · why it is risingIncreasing interest from regulated industries needing secure, on-premise AI agent operations.
Why it matters

It solves the critical trust and compliance barrier that blocks AI agents from moving beyond experimentation into real-world production use.

Evidence quotesverbatim, from the product’s own materials

“public GitHub repository (README fetched)”— structural
“Workers run in your environment, so agents reach internal services”— readme
“without requiring your model credentials, prompts, tool traffic”— readme
“run it in your environment with your models and tools”— readme
“Define your agent and its policies in YAML”— readme
“A run parks for a human and resumes days later on another worker, with its state intact”— readme
Signal source: Show HN
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FAQ

What is Charter?

Charter enables enterprises to run production-grade AI agents on their own infrastructure with full data control and compliance.

What does Charter do?

Allow businesses to securely deploy and manage AI agents on their own servers, preventing data leaks and compliance risks.

Why does Charter matter?

It solves the critical trust and compliance barrier that blocks AI agents from moving beyond experimentation into real-world production use.

How much does Charter cost?

Enterprise licensing

Is Charter open source?

Yes — Charter is open source.

Can I self-host Charter?

Yes — Charter can be self-hosted.

What does Charter integrate with?

mcp,langchain,langgraph,opentelemetry,jaeger,tempo,datadog,langfuse

How popular is Charter?

As tracked by KanonAgent: 4 upvotes (first indexed 2026-09-10).

What are the best Charter alternatives?

Similar AI agents tracked by KanonAgent: open-design, deer-flow, Agent-Reach, ruflo, career-ops, orca.

Charter – Operate production-safe agents that run on your own infra alternatives — similar AI agents

open-designdeer-flowAgent-Reachruflocareer-opsorca

Where this fits — browse the same shelf

AI Agent Skills & PluginsAI agents that work with MCP (Model Context Protocol)AI agents that work with LangChainSelf-hosted & open-source AI agents