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Search results for “Coding Agents”

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249 results for “Coding Agents”

  1. AnythingLLM makes private AI workspaces practical

    #AnythingLLM#Private AI#RAG

    for teams that want to combine documents, chats, agents, and different language models in a private workspace. Its focus is not a single chatbot, but a workspace where your own files, model providers, vector databases,

  2. Agent S turns computer use into an open agent testbed

    #Agent S#Simular AI#GUI Agents

    but a usable open-source framework for computer-use agents. The project aims to let AI agents complete tasks through graphical interfaces: observing the screen, moving the mouse, using the keyboard, and executing

  3. Scientific Agent Skills makes research agents more concrete

    #Scientific Agent Skills#K-Dense#Research Tools

    by K-Dense is an open skill library for scientific AI agents. It is not a single chatbot and not a new model, but a collection of structured capabilities intended to help agents perform specialist research and

  4. Strix lets AI agents run real penetration tests

    #Strix#AI Security#Penetration Testing

    Instead of only checking code statically, it starts AI agents that inspect a target, try attack paths, and attempt to prove vulnerabilities with proofs of concept. The reason Strix belongs in this tools special is

  5. New benchmark shows where computer-use agents still stumble

    #AI Agents#Computer Use#AI Benchmarks

    desktop steps correctly. That distinction matters. Many agents click, type, and wait for screenshots. If they treat a delayed, hidden, or unrelated screen change as progress, they keep planning on a false premise.

  6. gemini-bridge flaw exposes the file risk in local agents

    #AI Security#MCP#gemini-bridge

    on July 31, 2026. The Python package connects MCP-based agents with Google’s Gemini CLI. That bridge could read local files in certain versions when a caller supplied paths through the files parameter. This is not a

  7. ASSERT turns agent rules into executable tests

    #ASSERT#Microsoft#AI Evaluation

    in June 2026. It is aimed at teams that want to evaluate agents, chatbots, or LLM features against their own product rules, not only against generic benchmarks. The practical point is simple: many AI products begin with

  8. AssemblyAI makes realtime transcription more context-aware

    #AssemblyAI#Voice AI#Speech-to-Text

    a usable speech-to-text tool for developers building voice agents, phone assistants, notetakers or agent-assist systems. According to AssemblyAI's changelog, Universal-3.5 Pro Realtime was introduced on June 23, 2026 as

  9. AISI shows how fast AI cyber capabilities are growing

    #AI Security#AISI#Cybersecurity

    and clear rules for which internal data may enter AI coding tools. Scope and limits First, AISI tests are not forecasts for every real-world attack. Cyber ranges and benchmarks measure important capabilities, but real

  10. DigitalCoach shows why AI software tutors still coach too shallowly

    #DigitalCoach#AI Agents#Computer Use

    a dataset and benchmark for testing whether AI agents can truly coach people through software use. That may sound narrow, but it matters because more products now promise not only to operate software for users, but to

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