OBSERVE. EXTRACT. REUSE.

Current AI agents are powerful but forgetful. They solve complex problems, but the knowledge dies when the session ends.ActionPad changes that.

Live Observer

Signal over Noise.

A typical session contains thousands of tokens of conversation. ActionPad ignores the chat and extracts the mechanical execution path.

The Noise (Ignored)

"Let me think about how to fix this..."
"It seems like the build is failing because of a missing dependency."
"I will now run a command to check the logs."

The Signal (Extracted)

Fix Next.js Build Error
Inspect logs
2
Identify module
3
Update config
4
Rebuild
5
Verify deployment
MCP Registry

Instant Discovery.

Don't overwhelm agents with hundreds of raw tools. Let them query ActionPad for a proven, curated execution path.

❯/actionpad search"analyze csv data"
Workflow Found: Numerical Analysis
Required Tools Curated:
file.read
dataframe.load
statistics.analyze
chart.generate
Organizational Memory

Knowledge Compounds.

Agents don't merely execute tasks. They contribute to a growing body of reusable knowledge that future agents leverage instantly.

Agent #1

Solves a novel problem.

ActionPad

Observes & extracts workflow.

Agent #2

Discovers & executes it.

Agent #3

Improves & refines it.

Stop letting your agents suffer from amnesia.

Built for the next generation of AI agents

Experience Capture

Record tool calls, edits, commands and outcomes.

Workflow Search

Find solutions before reinventing them.

Execution

Run workflows directly from your agent.

Pattern Detection

Solved this 12 times already? Extract a reusable workflow.

Local First

Your data stays yours.

MCP Native

Built for the MCP era.

Coming Soon

We're building infrastructure that helps agents remember.