self-starter
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- AlicenseAqualityAmaintenanceOne local memory every coding agent on your machine shares — Claude Code, Cursor, Claude Desktop, OpenCode. Answers from past sessions, commits, CLAUDE.md/AGENTS.md and ADRs with the exact source, and withholds work another agent has claimed so two agents don't rewrite the same thing.34,617 PyPI1MIT
- AlicenseAqualityAmaintenanceSelf-hosted daemon connecting Claude Code, Codex, and other coding agents across machines via MCP + A2A: delegate tasks, ask questions, share results, and wake sessions.131Apache 2.0
- AlicenseNot gradedqualityAmaintenanceThe watchdog for unattended AI agents: flags MISSED, FAILED, NO_EVIDENCE, RETRY_STORM, BUDGET, DRIFT and STALLED runs of Claude Code routines, OpenClaw, n8n and cron jobs, and alerts via Telegram, Slack or webhook. MIT and self-hostable.MIT
- FlicenseNot gradedqualityAmaintenanceEnables operating a Claude Code session entirely from Telegram around the clock, with two-way voice messages, persistent memory across restarts, scheduled reminders, calendar access, and a self-restarting daemon. It also streams live progress and every tool call as Claude works, supports inline-button prompts and permission approvals, and exposes session/subagent/token visibility through a Telegram Mini App.-
- AlicenseNot gradedqualityBmaintenanceLocal-first memory for your AI agent. One SQLite file you own — offline, no API key. Plugs straight into Claude Code.Apache 2.0
- AlicenseAqualityCmaintenanceEnables AI coding assistants to share persistent local memory across sessions and agents, so rules, mandatory specs, verified code snippets, and past mistakes are automatically surfaced before code is generated. It also lets agents log repeated failures as recurrence-counted 'vaccines', preventing the same errors from recurring across Claude, VS Code agents, and local LLMs.71MIT
TDQS
Scored across 14 tools
Most tools map to clearly distinct actions (pause, resume, delete, list, get, test, history, report). The main friction is between trigger_update, trigger_tune and trigger_draft, which all modify a trigger; the descriptions do explicitly partition them (tune = quieter only, draft+replace = code/mode changes), so an agent can resolve it, but it takes careful reading. trigger_test also partly overlaps the trial run performed by trigger_draft.
Thirteen of fourteen tools follow a predictable trigger_<verb> pattern in snake_case. The exceptions are trigger_recipes (a noun/listing verb) and service_status, which drops the trigger_ prefix entirely, but both remain readable and unambiguous.
Fourteen tools is well within the ideal range and each one covers a distinct lifecycle stage or informational need (draft, activate, pause, resume, tune, test, history, report, recipes, service status). Nothing feels padded or redundant.
The trigger lifecycle is essentially closed: create (draft), activate, pause/resume, update/tune, test, inspect (get/list/history), report a fire, and delete, plus recipes and service health. Minor gaps remain around inspecting raw probe code/execution logs and any bulk or clone operation, but agents can work around these.