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AI agents

2,952 results · Page 59 of 82

radops

AI agents

RadOps is an open-source AI-driven multi-agent platform for NetDevOps and security operations automation, capable of autonomously executing complex multi-step infrastructure operations. It uses a Supervisor-Worker architecture with strict sequential logic, features three layers of cognitive memory (working memory, temporary facts, core knowledge), and can distinguish and retain context. The platform supports quickly generating specialized agents for networking, security, and more through YAML configuration, without writing new code; it also provides human-in-the-loop approval, Markdown-defined Agent skills, and unified workflow SOPs. Its trust-but-verify mechanism uses dedicated QA audit nodes to validate actual tool output and reduce hallucinations. RadOps supports model providers such as OpenAI, Anthropic, DeepSeek, Azure, Google, Groq, Mistral, AWS Bedrock, and Ollama, and declaratively connects to vector databases such as Weaviate, Qdrant, Pinecone, Milvus, and Chroma. It implements resilient connections based on MCP and provides deep observability through OpenTelemetry. It is suitable for teams that need to automate network and security operations processes.

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Rallied

AI agents

Rallied is an AI automation tool for managed service providers (MSPs) that uses AI agents to handle onboarding, offboarding, and L1/L2 tickets within PSA systems. It can automate routine tasks such as password resets and script runs, and lets you write runbooks in natural language. Rallied supports platforms such as ConnectWise, HaloPSA, and Autotask. In Plan mode, it first shows the actions it intends to perform, and the paid plan is $150 per month including 2,000 credits.

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redamon

AI agents

RedAmon is an open-source, self-hosted AI penetration testing framework. It chains reconnaissance, exploitation, and post-exploitation into a single automated pipeline, maps the attack surface into a Neo4j knowledge graph, and autonomously executes exploits in a Kali sandbox, with user approval gates at key steps. It can also perform AI triage on discovered issues, implement code fixes, and automatically submit PRs to code repositories. The framework supports bidirectional MCP: it can both connect any MCP server as a tool and be driven by Claude Code or custom-built agents. It is officially claimed to have solved 101 of 104 problems (97.1%) on the XBOW web security benchmark, all black-box tests. The project is limited to authorized security testing, educational, and research purposes, and is strictly prohibited for use on unauthorized systems.

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