This release keeps dependencies and maintenance posture current for teams operating this tool.
✓ No known CVEs patched in this version
Topics
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Summary
AI summaryMinor fixes and improvements.
Changes in this release
| Type | Severity | Summary | CVE |
|---|---|---|---|
| Refactor | Low |
Refactor agent code by splitting skill-executor.ts into per-strategy modules. Refactor agent code by splitting skill-executor.ts into per-strategy modules. Source: llm_adapter@2026-07-15 Confidence: high |
— |
| Refactor | Low |
Refactor agent code by consolidating 3 grant-manager copies into a shared module. Refactor agent code by consolidating 3 grant-manager copies into a shared module. Source: llm_adapter@2026-07-15 Confidence: high |
— |
Full changelog
What's Changed
- refactor(agent): split skill-executor.ts into per-strategy modules (#363) by @griffinwork40 in https://github.com/griffinwork40/agent-afk/pull/491
- refactor(agent): consolidate 3 grant-manager copies into shared module (#361, #362 prep) by @griffinwork40 in https://github.com/griffinwork40/agent-afk/pull/489
Full Changelog: https://github.com/griffinwork40/agent-afk/compare/v5.27.0...v5.27.1
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About Agent AFK
Coding-agent harness built for unattended, away-from-keyboard runs across four surfaces sharing one session manager: one-shot CLI, REPL, cron-friendly headless daemon, and a Telegram bot. Editable agent loop (prompts, permission gates, model routing, explicit terminal states), MCP (stdio/HTTP/SSE + OAuth), lifecycle hooks, background subagents, plan mode, cross-session memory, and an append-only trace receipt (`afk trace show`). Works with Anthropic and any OpenAI-compatible endpoint (GPT, Codex, local MLX/llama.cpp/Ollama)
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Beta — feedback welcome: [email protected]