{"schema":"cloudm0n.agent-handoff.v1","generatedAt":"2026-09-01T19:35:37.290Z","software":{"slug":"jordan-gibbs/hyperresearch","name":"hyperresearch","source":"https://github.com/jordan-gibbs/hyperresearch","tagline":"Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.","summary":"Provisional external discovery candidate. Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.","topics":["agents","agentskills","claude-code","deep-research","deep-research-agent"]},"decision":{"fitScore":53,"verdict":"NICHE","analysisState":"ANALYZED","whatItDoes":"Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.","whyFound":"CLOUDM0N matched this repository through its capability signals: agents, agentskills, claude-code, deep-research, deep-research-agent.","bestFor":"Provisional external discovery candidate. Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.","tradeOff":"No explicit trade-off is documented in the current CLOUDM0N analysis. Review the source, trust evidence, and target environment before adoption.","adoption":"VERIFY_FIRST"},"trust":{"security":{"status":"REVIEW","score":90,"commitSha":"15010c5142244b88265f7abadf7b7aa1a8237fde","scannedAt":"2026-08-30T01:40:40.617Z"}},"architecture":{"evidenceLevel":"CODE_EVIDENCE","source":"ARCHITECTURE_SCAN","commitSha":"15010c5142244b88265f7abadf7b7aa1a8237fde","strategy":null,"runtimeImage":null,"workdir":null,"protocol":null,"capabilities":["agents","agentskills","claude-code","deep-research","deep-research-agent"],"note":"Architecture context comes from static code and repository evidence. CLOUDM0N does not execute the repository before adoption."},"install":{"evidenceLevel":"AGENT_VERIFICATION_REQUIRED","source":null,"installCommand":null,"startCommand":null,"healthCommand":null,"networkDuringInstall":null,"protocolProbe":null,"caution":"Installation is intentionally deferred to the user’s coding agent. The agent must inspect official documentation and the target environment before proposing or making changes."},"alternatives":[{"slug":"dnotitia/akb","name":"akb","fitScore":47,"verdict":"SKIP","security":{"status":"REVIEW","score":70},"focus":"AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP."},{"slug":"TGYD-helige/pi","name":"pi","fitScore":43,"verdict":"SKIP","security":{"status":"REVIEW","score":35},"focus":"Pluggable extension packages for the Pi AI-agent runtime. Each package exposes LLM-callable tools via MCP — covering IM workspace integrations (Lark, DingTalk, WeCom), browser & computer automation, persistent memory, telemetry, task scheduling, image generation, web access, security policies, and more."},{"slug":"pipeshub-ai/pipeshub-ai","name":"pipeshub-ai","fitScore":18,"verdict":"SKIP","security":{"status":"FAIL","score":0},"focus":"PipesHub is an open-source fully extensible AI context layer that unifies your business data for explainable enterprise search and agentic workflow automation."}],"nextAction":"Review or complete Security evidence before adoption. Do not install based on Fit alone.","policy":{"sponsoredRanking":false,"cloudm0nExecutesInstall":false,"approvalRequiredBeforeChanges":true,"fitDoesNotOverrideTrust":true}}