AgnesOps is a multi-agent RaaS (Research-as-a-Service) backend built on OpenClaw and LangGraph. Using Agnes-1.5-Pro, a Coordinator decomposes user goals into tasks for Research, Writer, and Critic agents. It features a score-gated revision loop, 24/7 cloud execution via Telegram, and persistent memory—all without a web frontend.
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30
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step 1: filter status messages and strip technical metadata from telegram output
9d2c8d7View on GitHubstep 10: document TinyFish as optional future fetch backend
f147302View on GitHubstep 9: document signal scoring, optional Playwright, timeouts
78abebcView on GitHubstep 8: travel keyword disclaimer when confidence below threshold
e019b38View on GitHubstep 7: telegram typing indicator and long-silence heartbeat
87ad5aeView on GitHubstep 6b: optional Playwright re-fetch when USE_PLAYWRIGHT_FETCH=1
b3f8714View on GitHubstep 4: critic arbitration anchored to user goal for actionability
62f7658View on GitHubstep 3: synthesis prompt nudge when high-signal sources low
7cddbfdView on GitHubstep 1: per-source low_signal heuristics and revised research_confidence
3571476View on GitHubfeat: Telegram bridge with live SSE, retries, longer timeout; docs and env template
958011fView on GitHub