Search Results for "evidence" - Page 2
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Showing 175 open source projects for "evidence"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Hiring Agent
AI agent to evaluate and score resumes
...The system can enrich that resume data with GitHub profile and repository signals when a profile is available. After the data is collected, it produces an explainable evaluation with category scores, supporting evidence, bonus points, and deductions. It can run locally with Ollama or use Google Gemini, which makes it flexible for teams that want either private local processing or hosted model access. -
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ResultTypes.jl
A Result type for Julia—it's like Nullables for Exceptions
ResultTypes provides a Result type that can hold either a value or an error. This allows us to return a value or an error in a type-stable manner without throwing an exception. -
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AbstractGPs.jl
Abstract types and methods for Gaussian Processes
AbstractGPs.jl is a package that defines a low-level API for working with Gaussian processes (GPs), and basic functionality for working with them in the simplest cases. As such it is aimed more at developers and researchers who are interested in using it as a building block than end-users of GPs. You may want to go through the main API design documentation. -
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Loop Library
A library of practical AI-agent loops and an installable skill
...The repository contains both a public loop library website and the Loopy skill that agents can use to discover, audit, adapt, run, and prepare loops. It helps turn open-ended prompts into measurable workflows with evidence, stopping criteria, and human approval points. The skill can work with agent environments such as Codex, Cursor, and Claude Code through the Skills CLI. Overall, it is useful for teams that want safer, reusable, and more reliable agent workflows instead of one-off prompting. -
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MetaScreener
AI-powered tool for efficient abstract and PDF screening
MetaScreener is an open-source AI-assisted tool designed to streamline the screening process in systematic literature reviews and academic research workflows. The system helps researchers analyze large collections of academic abstracts and research papers to determine which studies are relevant for inclusion in evidence synthesis projects. Instead of manually reviewing hundreds or thousands of documents, researchers can use MetaScreener to apply machine learning techniques that assist with classification and prioritization of candidate papers. The platform can analyze both abstracts and full PDF documents, enabling automated filtering based on research criteria defined by the user. ... -
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Open Science
Open Science is an open-source, local-first, model-agnostic research
...Users can inspect tool activity, approve sensitive actions, branch earlier conversations, and compare alternative research paths without losing prior work. Immutable artifact versions and detailed provenance connect results to code, inputs, execution history, environment evidence, conversation context, and review findings. -
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PokeeResearch-7B
Pokee Deep Research Model Open Source Repo
PokeeResearchOSS provides an open-source, agentic “deep research” model centered on a 7B backbone that can browse, read, and synthesize current information from the web. Instead of relying only on static training data, the agent performs searches, visits pages, and extracts evidence before forming answers to complex queries. It is built to operate end-to-end: planning a research strategy, gathering sources, reasoning over conflicting claims, and writing a grounded response. The repository includes evaluation results on multi-step QA and research benchmarks, illustrating how web-time context boosts accuracy. ... -
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Oh My Hermes
All in one plugin for Hermes Agent
Oh My Hermes is an operating layer for Hermes Agent that adds structured routing, coding workflows, long-term memory, and evidence-aware execution. It keeps Hermes as the conversational front end while deciding which workflow, model category, and specialist capability should handle each task. Work can be split into parallel lanes with isolated worktrees and typed completion states. The plugin includes a reviewed memory system that stores approved records with provenance and aging rules. ... -
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NeuroSploit
NeuroSploit is an advanced, AI-powered penetration testing framework
...The system performs reconnaissance, selects specialized agents for the discovered attack surface, and runs applicable assessments in parallel. Candidate findings are checked through cross-model validation and supporting tool evidence before being reported. It supports black-box, white-box, gray-box, infrastructure, and AI application security testing modes. NeuroSploit also provides a terminal interface, project memory, configurable model providers, structured reports, and a large library of specialized security agents. -
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Prime Agent
A self-improving RLM agent for coding workflows
...Built-in subagents can work in parallel or continue tasks independently while returning results to a parent agent. A continual harness stores memories, skills, prompts, and reusable agent specifications that can improve through evidence-backed refinement. Daemon-backed sessions survive terminal disconnections and can be resumed later. Automatic compaction, persistent goals, schedules, heartbeats, and autonomous execution help maintain progress across extended tasks. -
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claude-real-video
Let Claude (or any LLM) actually watch a video
claude-real-video is a local video processing tool that prepares videos for analysis by Claude or other LLMs. It accepts public video URLs or local files and extracts the visual and audio evidence an AI model needs. Instead of sampling at a fixed interval, it detects scene changes and removes near-duplicate frames to reduce unnecessary token usage. It can transcribe audio, generate a clean output folder, and create a local viewer with the video, keyframe grid, and transcript. The tool can also be installed as a Claude Code skill so an agent can process videos more directly. ... -
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Mobile Verification Toolkit
Helps with conducting forensics of mobile devices
...It has been developed and released by the Amnesty International Security Lab in July 2021 in the context of the Pegasus project along with a technical forensic methodology and forensic evidence. MVT is a forensic research tool intended for technologists and investigators. Using it requires understanding the basics of forensic analysis and using command-line tools. This is not intended for end-user self-assessment. If you are concerned with the security of your device please seek expert assistance. Compare extracted records to a provided list of malicious indicators in STIX2 format. ... -
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Tailsnitch
A security auditor for Tailscale configurations
...Tailsnitch supports authentication via the Tailscale API (including OAuth or API keys) and provides options to filter findings, run only high-severity checks, and produce compliance artifacts like SOC 2 evidence exports. -
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TencentDB Agent Memory
TencentDB Agent Memory delivers fully local long-term memory for AI
...For personalization, it organizes memory from raw conversations into atoms, scenarios, and persona-level knowledge. The design keeps high-level memory inspectable while preserving a drill-down path back to raw evidence. It is built for OpenClaw and Hermes-style agent workflows that need lower token usage, better continuity, and no external API dependency. -
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Sprix SAGE Router
State-aware SELF/COLLABORATE/HANDOFF routing for A2A agent networks
...The system assigns remaining requirements to agents through task dependency graphs and estimates execution schedules. It learns contextual reliability and outcome information from previous execution evidence instead of relying on a single reputation score. Bounded search and replanning allow the router to compare feasible teams and revise decisions as task conditions change. -
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Wigolo
The go-to web for your AI coding agent
...It exposes search, fetching, crawling, extraction, research, monitoring, and autonomous gathering through MCP, REST, command-line tools, and SDKs. Its search engine combines results from multiple adapters using rank fusion, local reranking, and explainable evidence scores. The fetch router can escalate from ordinary HTTP requests to browser automation when it encounters dynamic pages or anti-bot challenges. Crawling supports breadth-first, depth-first, sitemap, and mapping modes while respecting robots.txt and domain rate limits. Results, embeddings, and configuration are stored locally, and the core tools require no account or paid API key. ... -
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Tailslayer
Library for reducing tail latency in RAM reads
Tailslayer is a cybersecurity and forensic analysis tool designed to extract and analyze artifacts from Tails OS environments. It focuses on uncovering traces of activity in systems that are designed to be privacy-preserving and ephemeral. The tool helps investigators identify residual data such as logs, configurations, or usage traces that may persist despite Tails’ security features. It is particularly relevant for digital forensics and research into privacy systems. Tailslayer emphasizes... -
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ArchiveBox
Open source self-hosted web archiving
...ArchiveBox is an open source tool that lets organizations & individuals archive both public & private web content while retaining control over their data. It can be used to save copies of bookmarks, preserve evidence for legal cases, backup photos from FB/Insta/Flickr or media from YT/Soundcloud/etc., save research papers, and more. ArchiveBox is an open-source, self-hosted web archiving tool for saving websites offline. It helps organizations and individuals preserve bookmarks, research papers, and social media content, among others. -
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Marble Skill Taxonomy
Structured taxonomy of what children learn across the primary years
...It breaks curriculum content into fine-grained micro-topics instead of leaving learning goals as broad standards. Each topic includes subject, domain, age range, description, evidence criteria, assessment prompt, and stable identifiers. The dataset also defines prerequisite relationships, so developers can trace what a learner should master before a concept. It aligns micro-topics to national curriculum standards such as NGSS, Common Core, and the UK National Curriculum. It is useful for learning platforms, curriculum tools, tutoring systems, assessment products, and education research projects. -
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Timesketch
Collaborative forensic timeline analysis
Timesketch is a collaborative forensic timeline analysis platform used to investigate security incidents by turning diverse evidence into a single, searchable chronology. Analysts ingest logs and artifacts from many sources—endpoints, servers, cloud services—and Timesketch normalizes them into events on a unified timeline. Powerful search, aggregations, and saved views help you pivot quickly, highlight anomalies, and preserve investigative steps for later review. -
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Trillian
A transparent, highly scalable and cryptographically verifiable data
...The system is designed for horizontal scale with gRPC APIs, enabling multiple frontends and sequencers to operate over a shared backend. Common use cases include certificate transparency, package registries, and audit logs where public verifiability or tamper evidence is required. Trillian exposes both “log” and “map” primitives so developers can choose between append-only timelines or verifiable dictionaries depending on their data model. By making verification independent of trust in the operator, trillian helps build systems that are auditable by external parties. -
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OpenDeepResearcher
AI researcher that continuously searches for information
...It then runs concurrent searches, deduplicates links, fetches page content, evaluates whether each page is useful, and extracts relevant context. After each round, the model decides whether more searches are needed or whether the available evidence is enough. The final output is a comprehensive research report based on the gathered material. The project uses services such as SERPAPI, Jina, and OpenRouter, with an optional Gradio notebook for a more usable interface. -
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MiroThinker
MiroThinker is an open source deep research agent
...Rather than simply generating responses from a single prompt, the agent performs structured multi-step reasoning processes that involve searching for information, analyzing evidence, and synthesizing conclusions. The platform is optimized for research tasks such as financial forecasting, knowledge discovery, and large-scale information synthesis. MiroThinker has been evaluated on several agent benchmarks and has demonstrated strong performance on tests designed to measure deep research capabilities. -
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TestSprite
AI-powered automated testing from your terminal
...It supports scripting, deterministic output, JSON results, predictable exit codes, and dry-run behavior for automation. Overall, it helps teams turn AI-generated code into a more testable, repeatable, and evidence-backed development loop. -
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Cangjie Skill
Distill high-value content like books, long videos, podcasts, and more
...Each accepted skill records supporting material, a reconstructed explanation, examples, trigger situations, executable steps, and limitations. Strict verification rejects generic or weak ideas that lack independent evidence, predictive value, or meaningful uniqueness. The generated package can include an overview, glossary, reference graph, long-form digest, individual skill files, and test prompts. Completed skills can be installed for compatible coding agents such as Claude Code and Cursor.
