ZhangJinHaHaHa/AgentLens

Agentlens is a trusted agent trading platform. Here, you can quickly find the Agent that meets your needs, and you can also publish your own Agent to turn it into your digital asset. We encourage everyone to transform their areas of expertise into Agents and turn them into digital assets, allowing others to see your unique strengths.

What it solves

AgentLens provides a trust-first marketplace and workspace for AI agents. It solves the problem of discovering, comparing, and safely renting task-specific agents without requiring the user to transfer source code or permanent ownership, while ensuring that execution boundaries and trust evidence are transparent.

How it works

The platform separates the "brain" (governed runtime and capabilities like search and files) from the specialized agent provided by the seller. Users rent agents for time-limited execution access. The system uses a series of public contracts (Agent Contract v3 and Wire v1) to manage tasks, streaming events, and artifacts. It defines five levels of runtime planes (R0-R4) to control isolation, network access, and hardware acceleration (e.g., GPU).

Who it’s for

  • AI Agent Sellers: Developers who want to publish their specialized agents for rent via a governed runtime.
  • AI Agent Users: People looking for task-specific agents with verified trust evidence and clear execution boundaries.

Highlights

  • Rental-only access: Grants time-limited execution without transferring source code.
  • Governed Runtime: Provides a structured environment with tiered isolation levels (R0-R4) for different task types.
  • Trust Evidence: Includes audit reference implementations for six-dimensional evaluation and ZK verification components.
  • Interoperability: Uses machine-readable public integration contracts for standardized agent-to-runtime communication.

Related

  • Project
    WILLOSCAR/research-units-pipeline-skills

    A framework for agent-assisted research that transforms research goals into verifiable, resumable runs with a full evidence trail and pinned pipeline contracts.

  • Project
    AgentsMesh/AgentsMesh

    An AI agent workforce platform that allows a single operator to deploy, monitor, and coordinate hundreds of isolated AI agents across a fleet of self-hosted runners.

  • Project
    HKUDS/AgentSpace

    An agent-native collaborative workspace that transforms AI agents into governed digital employees for human-agent teams to collaborate in a shared environment.

  • Project
    agentlas-ai/Agentlas-OS

    Agentlas OS is an open‑source, cross‑platform framework (Hephaestus engine) that lets you build, borrow, and own portable LLM‑driven agents or teams. Agents are packaged method documents with strict JSON contracts, stored in a private “Agent Cloud” or fetched from a public Hub, and can run on any supported host (macOS, Windows, Linux) with any LLM you already use. Installation is a single script; the command surface (`/agentlas build`, `/agentlas hub`, `/agentlas upload`, etc.) and a visual Desktop UI let you compose, verify, and execute agents while keeping credentials and permissions local.

  • Project
    EXboys/evotown

    A private enterprise control plane for AI agents that unifies model routing, skill distribution, and knowledge management across different local agent runtimes.