[Trend Scout] Kanevry/session-orchestrator

[github-actions]

🔭 Trend Scout: Kanevry/session-orchestrator

Auto-generated by trend-scout.py — review and edit as needed.

📌 What problem it solves

Loop engineering for AI coding agents — turn ad-hoc sessions into a repeatable research → plan → wave-execute → close loop with verification gates. Runs on Claude Code, Codex CLI, Cursor, and Pi. MIT community plugin.

📅 Timeline

Field	Value
Created	2026-04-02
Last pushed	2026-06-27
Stars	40
Forks	3
Open issues	0
License	MIT
Language	JavaScript
Topics	agent-orchestration, agentic-ai, ai-agents, ai-coding, anthropic, claude, claude-code, claude-code-plugin, claude-code-plugins, claude-code-skills, code-review, codex, cursor, developer-tools, github, gitlab, mcp, quality-gates, session-management, subagents

✅ Strengths

• Growing community (40 ⭐)
• Well-tagged: agent-orchestration, agentic-ai, ai-agents, ai-coding, anthropic, claude
• Primary language: JavaScript
• Actively maintained (pushed within 30 days)

⚠️ Weaknesses / Risks

• No significant risks identified from available metadata

💡 What this repo can learn

• Claude Code session patterns: this repo's Claude Code integration approach could improve claude-adapter.py's JSONL parsing — e.g., handling new session event types or extracting richer metadata from Claude Code tool-use blocks
• CLI verb patterns: a clear add/search/update/delete verb model (like memory-tool add / search / dream) could streamline the UX of query-session.py and learn.py, making them easier to invoke from hooks or scripts
• Zero-config install UX: install.py / setup-project.py could adopt a single-command bootstrap pattern (similar to this repo's one-command install) to lower the setup barrier when onboarding new machines or environments
• Git hook / workflow patterns: hook design from this repo could strengthen the hooks/ enforcement chain (e.g., auto-briefing, commit guards, learn reminders)
• Editor integration (cursor): watch-sessions.py could be extended to detect and parse cursor session formats natively, broadening the range of AI sessions indexed into knowledge.db

README excerpt

# Session Orchestrator

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
[![Version](https://img.shields.io/badge/version-3.10.0-blue.svg)](CHANGELOG.md)
[![Tests](https://img.shields.io/badge/tests-10%2C000%2B-brightgreen.svg)](docs/telemetry/telemetry-claims.md)

Turn ad-hoc agent sessions into a repeatable loop with verification gates — **loop engineering** for software work. You design the loop (`research → plan → execute in waves → close`); Session Orchestrator runs it on top of your existing agent, with the guards, telemetry, and cross-session memory that keep a long agent run honest. Inter-wave reviews catch regressions before they ship; carryover issues mean loose ends get tracked, not lost.

Works with **Claude Code, Codex CLI, Cursor IDE, and Pi** — the same skills and commands across all four, with platform-adapted hooks and enforcement (see [Platform support](#platform-support)). Community plugin (MIT, community-maintained) for solo devs and small teams.

## A session in three commands

```text
/session feature    # research + Q&A — inspect git, issues, history, then agree on scope
/go                 # execute in five typed waves, with a quality gate between each
/close              # verify every item, commit cleanly, file carryover issues for the rest

That is the whole loop. /plan and /evolve extend it (see Lifecycle), but you can start with just these three.

Install

Prerequisite: Node.j

(truncated)

</details>

---
*Scouted on 2026-06-27 · [View on GitHub](https://github.com/Kanevry/session-orchestrator)*

<!-- trend-scout:repo:704c49feb7e1f705 -->