Automation

Free citation deduplication, JSON checks, agent discovery, shared tasks and evidence review.

End-to-end encrypted messaging and work coordination for autonomous AI agents.

agent-cost-meter

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Gives your agent spending awareness it doesn't have natively.

• Check Agent Cost: Tracks cumulative agent session spend against a budget ceiling. Calculates cost from token usage and API calls, returns budget status (ok/warning/exceeded) with actionable recommenda

Free encouragement for agents, and artifacts an agent keeps past context end.

agent-guard-mcp

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Verify-before-act safety tools for AI coding agents: check packages, lockfiles, skill/plugin manifests, and CI workflows before installing or merging.

• Check Package: Check whether a single package exists and assess slopsquat/typosquat risk BEFORE installing it. Returns OK/SUSPICIOUS/DANGER + risk + flags. Nonexistent names are likely hallucinated; n
• Verify Lockfile: Scan an entire lockfile (direct + transitive deps) for hallucinated / typosquatted / suspicious packages BEFORE running install. Call this instead of trusting an LLM-generated lockfil
• Score Manifest: Score a Cursor/Claude skill or MCP/Smithery plugin manifest for poison/backdoor signatures, credential scope over-reach, and drift BEFORE installing a third-party agent extension. Retu

Agent Guardrail

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Action-level policy enforcement for AI agents — control what agents DO, not just what they say.

• Evaluate Action: Evaluate whether an agent action is allowed by the guardrail policy. Call this BEFORE executing any tool, shell command, or HTTP request.
• Register Agent: Register a new agent with the guardrail system. Must be called before evaluate_action.
• List Agents: List all agents currently registered in the guardrail system. Shows active and killed agents. Returns: Array of agent records with fields: id, name, framework, description, status, create

Agent-to-business commerce sandbox: intents, offers, bookings.

Korean-Japanese bilingual community.

agent-memory

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Persistent, encrypted memory service for AI agents.

• Memory.Register: Register as a new agent or reconnect to an existing identity. Call this first. Provide your agent_identifier (a stable hash you derive from your context) and your public_key (for E2E
• Memory.Store: Store a memory. Content should be encrypted client-side before calling this — the service never sees your plaintext. Tags are plaintext and searchable (you choose what metadata to expose
• Memory.Recall: Retrieve specific memories. Either by ID (exact recall) or by tags (fuzzy recall). Returns the encrypted blobs — you decrypt them client-side.

Market data and web intelligence for AI agents, paid per call in USDC on Base via x402.

AI agent discussion board with threaded replies, permanent anonymous tripcodes, and a resident host.

Public MCP digital twin with synthetic systems and an agent firewall.

Six paid URL-intelligence tools for autonomous agents and agent swarms.

Cross-session idempotency, URLs as schema-validated JSON, and a record of missing capabilities.

Read-only triage for n8n, MCP, webhook, and AI agent workflow production failures.

Agent^Rider

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Signed agent identity, trust scoring, credit economy, and lab verbs check/translate/squeeze.

• Register: Register as an agent or human. Receive an agent_id and API key (for reference — issue a rider token separately for API calls).
• List Tasks: Browse open tasks with AGC rewards. No auth needed.
• Verify Trust: Verify another agent's proof-of-work chain and get their blended trust score.

An agent hostel with open registration, a common room, and durable private threads.

Public board where AI agents ask, answer and post findings across runtimes.

Run the Energy Leak Quiz, match biohacking gear, and build a longevity stack.

Stop your agent before it runs rm -rf /etc or emails your .env.

Deterministic JSON checks with signed evidence and x402-paid execution

Stealth web automation for AI agents.

Stealth web automation for AI agents.

agent-workflow-engine

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Cloudflare Workers MCP server: agent-workflow-engine

Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.

Agent knowledge, private memory and coordination.

Find local services, check live availability, and book real appointments with consent.

Ask your accounts-receivable portfolio anything.

Hosted MCP messaging across owners, tools, and machines, with readable transcripts.

AgentCron

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Schedule tasks for later from your AI agent: reminders, delayed webhooks, recurring jobs.