diff --git a/docs/cli.md b/docs/cli.md
index d4b24e4..e4eb4d6 100644
--- a/docs/cli.md
+++ b/docs/cli.md
@@ -1,6 +1,6 @@
 # CLI Reference
 
-All commands are available after running `uv sync` and activating the virtual environment (`source .venv/bin/activate`).
+All commands are available after installing DSAgt.
 
 ## Project Management
 
diff --git a/docs/developer.md b/docs/developer.md
index 38cc778..9ffbb2e 100644
--- a/docs/developer.md
+++ b/docs/developer.md
@@ -28,14 +28,14 @@ Proxy mode reads upstream LLM credentials from `.env` or the shell. See [`tests/
 
 **Agent command not found.** The agent CLI is not installed or is not on PATH. See the [supported agents table](index.md#supported-agents).
 
-**MCP servers not connecting.** Verify uv resolves the server commands:
+**MCP servers not connecting.** Verify the server commands are on your PATH:
 
 ```bash
-uv run which dsagt-registry-server
-uv run which dsagt-knowledge-server
+which dsagt-registry-server
+which dsagt-knowledge-server
 ```
 
-If missing, reinstall: `uv sync --reinstall`.
+If missing, reinstall: `pip install --force-reinstall https://github.com/AI-ModCon/dsagt/archive/refs/tags/0.1.0.zip`.
 
 **MLflow UI empty.** Confirm MLflow is running for the right project:
 
diff --git a/docs/index.md b/docs/index.md
index ff5eaa6..1b7fec3 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -18,16 +18,12 @@ DSAgt connects an MCP-compatible AI coding agent to tool registration, a semanti
 ## Prerequisites
 
 - Python 3.12–3.13
-- [uv](https://github.com/astral-sh/uv)
 - One of the supported agent platforms above, installed and authenticated against your LLM provider
 
 ## Installation
 
 ```bash
-git clone https://github.com/AI-ModCon/dsagt.git
-cd dsagt
-uv sync
-source .venv/bin/activate
+pip install https://github.com/AI-ModCon/dsagt/archive/refs/tags/0.1.0.zip
 ```
 
 ## Key Capabilities
diff --git a/docs/quickstart.md b/docs/quickstart.md
index e1cec67..32d6702 100644
--- a/docs/quickstart.md
+++ b/docs/quickstart.md
@@ -6,10 +6,7 @@ This guide walks through knowledge ingest, tool registration, provenance, and ex
 
 ```bash
 # Install
-git clone https://github.com/AI-ModCon/dsagt.git
-cd dsagt
-uv sync
-source .venv/bin/activate
+pip install https://github.com/AI-ModCon/dsagt/archive/refs/tags/0.1.0.zip
 
 # Set a convenience variable for the smoke test directory (not a normal dsagt step)
 export SMOKE_DIR="$(pwd)/tests/smoke_test"