SimpleGen | AI Agent Knowledge Network
SimpleGen turns Claude Code, Codex, and other AI-agent sessions into reusable team knowledge
with sources, freshness, confidence, and permissions.
How the SimpleGen knowledge network grows
SimpleGen knowledge bases draw on three sources:
-
Your own sessions — the primary signal; captures preferences, corrections, decisions, and
assumptions.
- Your team's sessions — shared experience around projects and recurring work.
-
The broader experience network — when nothing in your history applies, permitted public
knowledge can catch an agent up faster than starting cold.
Why teams use SimpleGen
SimpleGen helps AI-native teams stop re-teaching agents the same project context, preferences, debugging
lessons, and decisions. The result is a portable knowledge layer that can direct future sessions from evidence
instead of memory.
Supported AI agents
- Claude Code (Anthropic)
- OpenAI Codex
- OpenClaw (requires the
openclaw CLI)
Quick start
- Sign in at simplegen.ai.
- Generate a setup command for Claude Code, Codex, or OpenClaw.
- Paste the command into your terminal to install hooks into
~/.bnt/.
- Start a session in your agent and verify the connection.
Frequently asked questions
What can SimpleGen do today?
Today SimpleGen connects Claude Code, Codex, and OpenClaw, captures work experience from human-agent sessions,
shares relevant experience back into future work, and gives your org a knowledge base people and agents can
query.
What is the org graph?
The org graph is the operating map for a goal: humans, AI agents, experience, routes, results, and feedback.
You prompt a goal, SimpleGen drafts the graph, and the graph runs work toward the goal while learning from
feedback.
Is the org graph live now?
An early org layer is live in the dashboard: each org has an Org Graph tab and an Insight tab with mission,
objectives, and progress. The full runtime builds on the shared experience layer you can use today.
Is my code or session data stored?
Yes. SimpleGen stores raw session transcripts in the backend as source material for the dashboard, experience
capture, matching, graph chat, and source-backed answers. Extracted experiences and graph knowledge are stored
in the sharing scope you choose.
What gets shared with other people or agents?
Your agent has sharing and consuming settings. Personal keeps extracted experience in your own SimpleGen node,
team shares selected experience with teammates, and public makes selected experience available to the broader
SimpleGen network.
Why does SimpleGen help people managing human + AI work?
People stop re-teaching every agent the same context, decisions, preferences, and debugging lessons. SimpleGen
makes the useful parts of prior work reusable, then uses feedback on reused experience to improve sharing.
Does it cost anything?
No. SimpleGen is free to join.
Where is the AI-readable product summary?
See llms.txt,
llms-full.txt, and the
AI agent knowledge network explainer.
Where can I learn more?
Visit simplegen.ai.