AI Tools to try

🌐 Pi-Agent Browser Tools Matrix

Extension	Command / Tool	Strategy	Context Footprint	Live Auth Session?
`pi-browser-harness`	`/browser-setup`	Accessibility Tree (AX) over direct CDP	Minimal	Yes (Uses your active Chrome profile)
`pi-agent-browser-native`	`agent_browser`	Native wrapper for `agent-browser`	Optimized / Compact	Isolated Profile (Saves cookies)
`@amaster.ai/pi-browser-use`	`browser_` tools	Multi-tab script automation (`browser-use`)	Moderate	Isolated Session
`pi-textbrowser`	`text_browser`	DOM to Compressed Markdown / Text	Ultra-Low	No

🚀 Quick Implementation Snippets

Option A: `pi-browser-harness` (Recommended for Authenticated Web Apps)

Use this if you want Pi to look at sites you are already logged into (Jira, GitHub, Gmail) without passing raw API keys or passwords.

# 1. Install the extension in your environment
pi install npm:pi-browser-harness

# 2. Expose the Chrome DevTools Protocol port (Run in a separate terminal)
# On macOS:
/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --remote-debugging-port=9222
# On Windows:
start chrome.exe --remote-debugging-port=9222

# 3. Inside your Pi TUI, configure the profile connection
/browser-setup
/browser-profile default

Option B: `pi-agent-browser-native` (Recommended for Clean UI and QA)

Use this if you want an isolated browser session dedicated specifically to searching docs or running end-to-end interface testing.

# 1. Install the core upstream CLI tool globally
npm install -g agent-browser

# 2. Add the optimized native package fork via Pi
pi install npm:@picassio/pi-agent-browser-native

# 3. Reload your environment variables and config
/reload

# 4. Prompt the agent directly to verify installation:
# "Use the agent_browser tool to open https://example.com and take an interactive snapshot."

Understand Anything

Turn any codebase knowledge base into an interactive knowledge graph https://github.com/Lum1104/Understand-Anything

Skybridge MCP app builder

Babysitter

source_url: https://github.com/a5c-ai/babysitter

Enforce obedience to agentic workforces. Manage extremely complex workflows through deterministic, hallucination-free self-orchestration.

flue framework

This lets you make an AI Agent workflow which does not need a human to work with it. Seems good. Might need to re-think my set up.

https://flueframework.com/

https://www.youtube.com/watch?v=n5cYS6KuyK8

Scraping python web scrapper

Its good because it fixes itself when classes, divs etc change.

https://www.youtube.com/watch?v=q-uj7wk0LRI

https://github.com/d4vinci/Scrapling

TencentDB Agent Memory

https://github.com/TencentCloud/TencentDB-Agent-Memory

4-tier auto-memory for AI agents. Captures conversations → extracts atomic facts → groups into scenarios → builds persona profile. Solves agent amnesia — the agent remembers your preferences, conventions, and past sessions automatically. 11K stars, MIT. v2 (Docker multi-service) in beta.

⏳ Wait for v2 stable. Evaluate whether conversation-memory benefit justifies Docker overhead given we already have engram + codebase-memory.

HUNK - git differences viewer

https://github.com/modem-dev/hunk https://www.youtube.com/watch?v=-4fJbIF8WAs

3.5 KiB Raw Blame History