ExperienceEngine banner
Alan-512 Alan-512

ExperienceEngine

Development community

Description

Governance layer for coding agents that reuses real execution experience across OpenClaw, Claude Code, and Codex.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

ExperienceEngine

English | [简体中文](./README.zh-CN.md)

**A local experience-governance layer for coding agents.**

ExperienceEngine helps coding agents avoid repeating the same failed execution paths by turning prior task outcomes into short, governed prompt-boundary hints.

Memory helps agents remember context. ExperienceEngine governs whether prior execution experience should intervene.

Supported hosts today: **Codex**, **Claude Code**, **OpenClaw**, and **Google Antigravity** through different hook / MCP / plugin paths.

**ClawHub status (2026-07-21):** public `0.5.3` is available, scan-clean, and independently passed reverse-download plus full OpenClaw `2026.7.1` WSL/Linux live-host validation. Use the unversioned install command below. The exact public `0.5.2` artifact remains incomplete and must not be installed.


10-Second Example

Without ExperienceEngine:

  • A coding agent sees a SQLite startup failure.
  • It spends several turns debugging connection pool settings.
  • It eventually discovers the real issue: the DB connection was opened before the migration ran.
  • Days later, in a similar repo or task, it repeats the same failed path.

With ExperienceEngine:

  • The prior failure/fix/success path is distilled into a reusable experience node.
  • When a similar task starts, ExperienceEngine may inject one compact hint:
Run the migration before opening the DB connection.
  • After the run, ExperienceEngine tracks whether that hint helped, harmed, or remained uncertain.
  • If the hint keeps helping, it can become more trusted.
  • If it starts harming similar tasks, it can cool down, be quarantined, or retire.

Core loop:

task signals
→ distilled experience
→ hybrid retrieval
→ compact intervention
→ helped/harmed feedback
→ governance

Why It Exists

Coding agents are already strong. They can handle large codebases, call tools, follow multi-step tasks, and often recover from mistakes.

But one failure mode still appear