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escapeboy/agent-fleet-o

v1.13.0 Security

This release includes 2 security fixes for security teams reviewing exposed deployments.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →
This release patches 2 known CVEs

Topics

agent-orchestration agentic-ai ai-agents ai-automation autonomous-agents claude
+14 more
crewai-alternative langgraph-alternative laravel livewire llm-workflow mcp-server model-context-protocol multi-agent n8n-alternative ollama openai php self-hosted workflow-automation

Affected surfaces

rce_ssrf

Summary

AI summary

Full autonomous web dev pipeline added with per-call working directory, QA improvements, and security hardening.

Full changelog

What's changed

  • chore: release v1.13.0 — autonomous web dev pipeline, ClawWork quality improvements (21a7dcf)
  • feat(chatbot): is_enabled toggle for knowledge sources (8070557)
  • fix(crew): validate task_rubrics at crew creation and update (a205c2d)
  • fix(agent): QA and security fixes for ClawWork improvements (a0baddb)
  • feat(agent): ClawWork-inspired agent quality improvements (5477028)
  • fix: harden host-bridge.php working_directory against path traversal (a3bcd5a)
  • fix: path traversal + wrong attribute name in working_directory support (0a433fa)
  • feat: per-call working directory, Web Dev Cycle workflow, pipeline tool tests (f93b0d6)
  • fix: security and correctness fixes in autonomous pipeline tools (339d6d6)
  • feat: full autonomous web dev pipeline — git ops, deploy drivers, test & lint tools (c00f710)
  • fix(migration): guard pgvector column behind extension availability check (088c490)

Upgrade

git fetch --tags origin
git checkout tags/v1.13.0
composer install --no-dev --optimize-autoloader
php artisan migrate --force
php artisan optimize

Docker users: Pull the latest image and restart your containers.

Security Fixes

  • Harden host-bridge.php working_directory against path traversal
  • Fix path traversal + wrong attribute name in working_directory support

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About escapeboy/agent-fleet-o

AI Agent Mission Control with 200+ MCP tools. Manage agents, experiments, workflows, crews, skills, and more via stdio + HTTP/SSE. Self-hosted, open-source (AGPL-3.0)

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Related context

Beta — feedback welcome: [email protected]