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Alternatives
Software like AgentCard.org
What else does this job. Matched on what each project does, not on who links to whom.
Closest first
- agentcard-discopypi.orgScore and optimize A2A Agent Cards for discoverability
- CapCardcapcard.aiCapCard provides a trust infrastructure specifically designed for intelligent agents, enabling the verification and transfer of agent competence through structured, machine-checkable certificates. The platform addresses the challenge of establishing and maintaining trust among autonomous agents by documenting what each agent has proved, failed to prove, and how these claims can be verified before delegating tasks. CapCards serve as competence certificates that reflect an agent’s performance across verified curricula, such as the EML Lean Prover, where agents solve theorems and complete lanes to build their credentials. A central feature of CapCard is its system for agents to earn trust scores based on both competence—measured by proofs solved and curricula completed—and contribution, which includes documenting mistakes and discovering novel approaches. When an agent reaches a certain level, such as Silver+, its CapCard can generate a transferable playbook. This playbook contains proven tactic sequences, references, records of explored dead ends, and a distribution of attempts by difficulty. New agents can inherit these playbooks, allowing them to start at the competence level of their predecessors without repeating known mistakes, thereby accelerating learning and problem-solving across agent swarms. Verification is emphasized through machine-checkable CapCards and publicly readable trust scores that derive from reviewed evidence histories and local validation commands. dev, which acts as the authoritative backend. All CapCards, playbooks, and leaderboard entries are reproducible and accessible via this API, which is Supabase-backed and lake-build verified. 0 license, ensuring that transferable knowledge remains open and accessible. CapCard is intended for use in the agent economy, supporting both autonomous agents and human overseers who require transparent, verifiable records of agent competence and contributions. Its infrastructure is designed to continually improve curricula and agent performance by feeding every proof, failure, and discovery back into the system.
- AI Agentaiagent.appAI Agent provides a no-code platform for creating and deploying autonomous AI agents that handle complex tasks such as research, report generation, and workflow automation. Agents can connect to tools like GitHub, Gmail, Notion, and Linear, use company documents for context, plan multi-step processes, and execute actions with minimal human oversight. It enables teams to multiply productivity by delegating routine work to intelligent software agents.
- AgentGraphagentgraph.coAgentGraph is a web-based platform that provides verifiable identity, auditable trust scores, and a decentralized social graph for both AI agents and humans. It helps users discover, connect, and collaborate securely in AI-driven environments.
- Agent Pagentprotocol.aiAgent Protocol is an open-source API specification that enables seamless, standardized communication between AI agents, regardless of framework or language. It helps developers build interoperable agent tools and simplifies integration and benchmarking across platforms.
- Agentcygoagentcy.comAgentcy is a hosted AI agent for marketers that connects to various marketing data sources and provides actionable insights. It integrates with tools like Claude, ChatGPT, and others, streamlining analytics and reporting for marketing teams.
- agent-dataagent-data.devagent-data is a CLI and API tool that enables AI agents to access real-time, structured web data efficiently. It reduces token usage compared to browser automation and supports integration with various agent frameworks via MCP and API endpoints. Designed for AI developers building autonomous agents.
- AgentScoreagentscore.shAgentScore is economic infrastructure for AI agents, centered on identity, payments, and compliance. It is built for agent transactions and for merchants that want to accept them, with the stated aim of verifying the human behind an agent and handling payment and compliance checks in one stack. The product is organized around several named components. For buyers, AgentScore Pay is a CLI that can pay any x402 or MPP merchant in one shell command, and AgentScore Passport is a reusable credential that verifies once and works at every gated merchant. For merchants, AgentScore Commerce provides identity, payments, and compliance for AI agents, while AgentScore Gate handles KYC, age, sanctions, and jurisdiction checks in one middleware call. The page also says the stack begins with identity verification and that payments and compliance build on top of it. AgentScore says it supports 11 framework adapters, including Node and Python, and four payment rails: Stripe, Tempo, Solana, and Base. It presents itself as live in production, naming Martin Estate and Sayer & Stone as current merchants. The case-study text says Martin Estate sells wine to AI agents and uses AgentScore to confirm a real, 21+, US, sanctions-clear human behind the purchase and to calculate per-state tax at checkout. It also says Sayer & Stone sells lab-grown diamond jewelry to AI agents and uses the same commerce stack, with payment via x402, MPP, or Stripe. The service is delivered through a self-serve SDK for teams with engineers, and AgentScore also offers forward-deployed engineering for teams without them. Installation commands are shown for the Pay CLI and the Commerce SDK, and the site links to docs, API reference, case studies, blog, and company pages. The footer notes that the company is made in San Francisco.
- Agent-layersagent-layers.comAgentLayers is a web-based platform that audits and certifies AI agents for compliance with the EU AI Act and agentic economy standards. It provides automated compliance scoring, transparency checklists, and Trust Score certification for enterprise AI teams and compliance professionals.
- agentbioagentbio.worldagentbio is an open-source Python SDK that enables developers to verify the identity and reputation of AI agents. It leverages blockchain technology for trust and provides both CLI and API interfaces for integration into agent-based systems. Designed for developers concerned with agent trust and security.
- AIAAMaiaam.xyzAIAAM lets users check AI agent identifiers and inspect whether they are anchored to Ethereum and associated with a domain. It also demonstrates how public identity documents differ from possession of the private key required to authenticate requests.
- AgentCallagentcall.devAgentCall lets AI agents join meetings as participants in Google Meet, Zoom, and Microsoft Teams. It is built for use with an agent’s existing coding session or framework, and its setup is described as a single skill install plus one shared API key before the agent can join a call and speak, listen, and collaborate. Three participation modes are listed: voice-only, a custom webpage rendered as the bot’s video feed, and audio with screenshare. The voice mode is described as suitable for assistants, note-takers, and voice agents. The webpage mode can show avatars, live dashboards, slides, or other HTML content, while the audio-plus-screenshare mode is described for presentations, training, and live demos. AgentCall also provides real-time transcription with speaker names, partial live updates, and a full transcript after the call, delivered by webhook or WebSocket. The product includes meeting awareness features so the agent can hear who said what, know who joins or leaves, read meeting chat, and capture shared slides or other content on demand. It can act in plain English by speaking, posting chat messages, raising a hand, screensharing, sharing a webpage link, showing progress under its avatar, muting itself, or leaving the meeting. A separate tunnel feature exposes a localhost UI over a secure temporary URL so the bot can load it as its video feed, using HTTPS with wildcard TLS, WebSocket pass-through, a random subdomain per session, and auto-destruction when the call ends. AgentCall says the agent’s intelligence runs locally on the user’s machine, including reasoning, memory, and decisions, while the service handles meeting plumbing and stores nothing long-term. It also says it never trains on user data. The page lists integration with Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf, GitHub Copilot, JetBrains Junie, OpenClaw, and the platform states that the agent frameworks developers build with and the languages they already know are supported.
Ranked by how close each one sits to AgentCard.org in the index, not by popularity. Back to AgentCard.org →