Showing 5 open source projects for "agent based modelling"

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  • 1
    OpenClaw Opik Observability Plugin

    OpenClaw Opik Observability Plugin

    Official plugin for OpenClaw that exports agent traces to Opik

    OpenClaw Opik Observability Plugin is an open-source plugin designed to add observability and monitoring capabilities to OpenClaw autonomous AI agents by exporting operational traces to the Opik observability platform. The project integrates directly with OpenClaw’s plugin architecture so that developers can capture detailed runtime information about how their agents behave while executing tasks. Each time an AI agent performs an action—such as calling a large language model, invoking a...
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  • 2
    Loggie

    Loggie

    A lightweight, cloud-native data transfer agent and aggregator

    Loggie is a lightweight, high-performance, cloud-native agent and aggregator based on Golang. Loggie includes LogConfig/ClusterLogConfig/Interceptor/Sink CRDs, allowing for the creation of data collection, transfer, processing, and sending pipelines through simple YAML file creation. Supports deployment as an independent intermediate machine, which can receive aggregated data sent by Loggie Agent and can also be used to consume and process various data sources. ...
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  • 3
    ThreatMapper

    ThreatMapper

    Open source cloud native security observability platform

    ...Experience rapid threat detection and remediation, while significantly reducing non-critical security alerts by 90%. Deepfence ThreatMapper hunts for threats in your production platforms, and ranks these threats based on their risk of exploit. It uncovers vulnerable software components, exposed secrets, and deviations from good security practices. ThreatMapper uses a combination of agent-based inspection and agent-less monitoring to provide the widest possible coverage to detect threats. ThreatMapper carries on the good 'shift left' security practices that you already employ in your development pipelines. ...
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  • 4
    Vector

    Vector

    A high-performance observability data pipeline

    Vector is a Rust‑based, high‑performance observability data pipeline tool (agent + aggregator) designed to collect, transform, and route logs and metrics at scale. Created by Datadog, it aims to be the only tool needed from ingestion to vendor output, providing cost-efficient, safe, and flexible telemetry processing.
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    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

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  • 5
    Apache SkyWalking Rocketbot UI

    Apache SkyWalking Rocketbot UI

    SkyWalking RocketBot UI

    Application performance monitor tool for distributed systems, specially designed for microservices, cloud-native, and container-based (Kubernetes) architectures. End-to-end distributed tracing. Service topology analysis, service-centric observability and API dashboards. Java, .Net Core, PHP, NodeJS, Golang, LUA, Rust, C++, Client JavaScript and Python agents with active development and maintenance. Rover agent works as a metrics collector and profiler powered by eBPF to diagnose CPU and network performance. 100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster. ...
    Downloads: 0 This Week
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