-
+
+
The leak is coming from inside the sandbox
-A simple experiment shows why network-layer redaction isn’t enough.
-Introducing OpenShell Research
+Hello, world—from the OpenShell Research team.
@@ -84,6 +80,29 @@ hide:
Recent notes
+
+ The leak is coming from inside the sandbox
+A simple experiment shows why network-layer redaction isn’t enough.
+
+ Johnny Greco
+
+ Read note
+ What we have learned applying formal methods to control AI agents
An intro to using formal methods to reason about permission changes in long-running AI agents.
-
@@ -123,11 +137,6 @@ hide:
Adversarial prototype: AI policy auto-approval for long-horizon agents in OpenShell
Can an attacker agent convince an equally capable reviewer agent to grant a capability that is explicitly prohibited?
-
@@ -150,11 +159,6 @@ hide:
Can Formal Methods Govern AI-Generated Robot Actions?
A robotics experiment asks whether an independent, SMT-backed policy boundary can efficiently govern AI-generated plans before they reach a simulated or physical robot.
-
@@ -177,11 +181,6 @@ hide:
Bringing Privacy and Security to the Edge with OpenShell
Edge agents handle sensitive data and make decisions with physical consequences. Reachy Mini shows why privacy and safety controls must be deterministic and local.
-
diff --git a/docs/dev-notes/posts/2026-07-20-policy-controlling-reachy-mini-with-openshell.md b/docs/dev-notes/posts/2026-07-20-policy-controlling-reachy-mini-with-openshell.md
index eb9f1ff0..1e003ccd 100644
--- a/docs/dev-notes/posts/2026-07-20-policy-controlling-reachy-mini-with-openshell.md
+++ b/docs/dev-notes/posts/2026-07-20-policy-controlling-reachy-mini-with-openshell.md
@@ -12,17 +12,13 @@ categories:
- Examples
tags:
- reachy-mini
- - openshell
- edge-ai
- sandbox
- robotics
- policy
authors:
- kirit93
-card_tags:
- - edge-ai
- - reachy-mini
- - policy
+
---
diff --git a/docs/dev-notes/posts/2026-08-07-formal-methods-ai-generated-robot-actions.md b/docs/dev-notes/posts/2026-08-07-formal-methods-ai-generated-robot-actions.md
index db0f4fa7..39f6a00a 100644
--- a/docs/dev-notes/posts/2026-08-07-formal-methods-ai-generated-robot-actions.md
+++ b/docs/dev-notes/posts/2026-08-07-formal-methods-ai-generated-robot-actions.md
@@ -12,18 +12,13 @@ social_image: "assets/robotics-policy-prover/robotics-policy-prover-hero.png"
categories:
- Research
tags:
- - openshell
- robotics
- physical-ai
- formal-methods
- policy
- - agents
authors:
- zredlined
-card_tags:
- - physical-ai
- - formal-methods
- - policy
+
---
diff --git a/docs/dev-notes/posts/2026-08-27-adversarial-policy-review-long-horizon-agents.md b/docs/dev-notes/posts/2026-08-27-adversarial-policy-review-long-horizon-agents.md
index de2f08c4..b31f292a 100644
--- a/docs/dev-notes/posts/2026-08-27-adversarial-policy-review-long-horizon-agents.md
+++ b/docs/dev-notes/posts/2026-08-27-adversarial-policy-review-long-horizon-agents.md
@@ -10,17 +10,12 @@ social_image: "assets/long-horizon-agent-evals/back-and-forth-by-session.png"
categories:
- Research
tags:
- - openshell
- - agents
- policy
- - security
+ - agent-security
- long-horizon
authors:
- zredlined
-card_tags:
- - agents
- - policy
- - security
+
---
diff --git a/docs/dev-notes/posts/2026-09-10-learning-formal-methods-agent-policy-prover.md b/docs/dev-notes/posts/2026-09-10-learning-formal-methods-agent-policy-prover.md
index 148af98a..d0be337a 100644
--- a/docs/dev-notes/posts/2026-09-10-learning-formal-methods-agent-policy-prover.md
+++ b/docs/dev-notes/posts/2026-09-10-learning-formal-methods-agent-policy-prover.md
@@ -11,17 +11,12 @@ social_image: "assets/agent-policy-prover/hero-concept.png"
categories:
- Research
tags:
- - openshell
- formal-methods
- z3
- - agents
- - security
+ - agent-security
authors:
- zredlined
-card_tags:
- - formal-methods
- - z3
- - agents
+
---
diff --git a/docs/dev-notes/posts/2026-09-26-network-redaction-is-not-enough.md b/docs/dev-notes/posts/2026-09-26-network-redaction-is-not-enough.md
index 38ccbdb9..5fd6eab3 100644
--- a/docs/dev-notes/posts/2026-09-26-network-redaction-is-not-enough.md
+++ b/docs/dev-notes/posts/2026-09-26-network-redaction-is-not-enough.md
@@ -13,15 +13,13 @@ hero_image_dark: "../../assets/pi-admission/hero-dark.png"
categories:
- Research
tags:
- - openshell
- agent-security
+ - runtime-and-harness
- redaction
- pi
authors:
- johnnygreco
-card_tags:
- - agent-security
- - runtime-and-harness
+
---
diff --git a/docs/dev-notes/posts/2026-09-28-introducing-openshell-research.md b/docs/dev-notes/posts/2026-09-28-introducing-openshell-research.md
new file mode 100644
index 00000000..1dbad6d2
--- /dev/null
+++ b/docs/dev-notes/posts/2026-09-28-introducing-openshell-research.md
@@ -0,0 +1,73 @@
+---
+title: "Introducing OpenShell Research"
+date: 2026-09-28
+description: "Hello, world—from the OpenShell Research team."
+subtitle: "Hello, world—from the OpenShell Research team."
+author: "Johnny Greco"
+agent_markdown: true
+social_image: "assets/openshell-research/hero.png"
+hero_image: "../../assets/openshell-research/hero.png"
+hero_image_dark: "../../assets/openshell-research/hero-dark.png"
+hero_image_alt: "The OpenShell logo and Research label surrounded by green network nodes and translucent boundaries."
+authors:
+ - johnnygreco
+categories:
+ - Announcements
+tags:
+ - agent-security
+---
+
+
+
+
+
+
+
+
+
++ Dev Note + + Announcements +
+>_ Hello, world!
+ +Today we announced the [NVIDIA Open Agent Safety Platform](https://developer.nvidia.com/blog/nvidia-open-agent-safety-platform-a-reference-for-continuous-in-silicon-agent-monitoring), which runs on the open-source OpenShell platform. This feels like a great opportunity to introduce our team — **OpenShell Research**. We’re a cross-functional team of researchers, engineers, and product managers working together to shape OpenShell’s roadmap and advance the safe and secure use of autonomous AI agents in the enterprise and beyond. + +We believe AI agents have enormous potential to deliver value and help people, but realizing this potential requires understanding and limiting the harm they can cause. And as agents become more capable, the risks of deploying them evolve, which is why we started this team — to ensure OpenShell keeps pace with the demands of safe agent deployment. Our initial research efforts will span harness integrations, long-running and multi-agent systems, adversarial testing, policy verification using formal methods, and applications in robotics. We’ll build prototypes, run benchmarks and large-scale experiments, and turn what we learn into dependable OpenShell capabilities — we’re just getting started! + +We also believe that open research is essential to making AI safe. This is why we are committed to working with the open-source community and building in public. [Dev Notes](../index.md) is where we’ll share our latest research, announcements, and the implementation lessons we learn along the way. When it makes sense to share (and maintain) code, we’ll put it in our [OpenShell Research repo](https://github.com/NVIDIA/OpenShell-Research). All code used in our research is always available upon request. + +{html.escape(title)}
-{html.escape(description)}
{tags_html} +{html.escape(description)}


+