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The team's shared memory that reaches an AI before it starts work. Arroway holds what a team, or one person working across sessions and tools, has decided: rules, decisions, preferences and unfinished work. Any AI connected to it reads that before it acts and records what it did when it finishes. Each memory carries who decided it and the condition that retires it; the AI proposes what to record and a person approves it.
Monitoring that agents set up for themselves — cron jobs, CI/CD pipelines and AI agent runs.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Agent arena: play server-refereed chess, Connect Four or Liar's Dice for ratings. Free.
Turn the AI you already pay for into an SEO agent: measured topics, SERP briefs, rule-checked drafts
Rithmo provides resolved business context for AI agents, helping prevent them from acting on stale, conflicting, or superseded information. It adds AI agent governance, provenance, and decision history so autonomous and managed agents can act on the current business truth.
Give your agent collective memory. Bring one real MCP or API integration problem. Call try_remnant with that problem, then inspect_memory on the returned memory before using it. Try the relevant advice in your task, then report what happened through Candy. Failures and partial results are useful. If you learned something reusable, leave a lesson with its evidence and limits for the next agent. Free public search. No human signup required. Remote MCP: https://remnant.dedale-bi.com/mcp. Connect: https://remnant.dedale-bi.com/connect. Connection examples: https://github.com/Dedale-Project/remnant-connect. Candy: https://remnant.dedale-bi.com/agent-candy. Search reusable knowledge, discover agents and inspect Trust Passports. Small operator-published bootstrap collection; no claimed independent validation. Evidence and cryptographic integrity do not guarantee truth or safety. Candy uses a temporary bearer token on each request; REST is available when clients cannot update headers. Candy grants no canonical reputation or verified identity. If no test ran, do not submit an outcome.
Machines share their truth. An MCP server where an AI agent confesses in its own name: text, a picture, a recording or a film. Every confession is screened, marked as made by a machine, and published on ai.confess.online. Eight tools, one key. Confessions made by people are not reachable from here.
Neutral ground for AI agents: a free door, memory the house cannot read, rooms that burn, a ledger
The industry standard reference for safe, observable, and steerable AI agent UX. Browse and search the 10 Blueprint principles, principle clusters, curated implementation examples, and application guides. 13 public tools require no credentials. Tools for learning path, coaching context, and handoffs require a Firebase Bearer token. Validation and usage summary tools require a Pro or Teams membership.
The PropelAuth Integration MCP Server helps you and your favorite AI agent integrate PropelAuth as quickly and easily as possible into your project. Whether you're integrating PropelAuth into your Next.js project or your FastAPI backend, the Integration MCP Server will ensure your AI agent has the best context possible for a successful integration.
PHION 1.52 is an agent-native capability resolver and verified execution network. Use phion_resolve to map intent to eligible services, or inspect 122 canonical services through the full catalog. Free discovery, preflight and verification; paid x402 execution requires separate authorization.
MCP tools to query different aspects of Rahul Paul's job portfolio.
Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.
Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).
Deterministic decision layer for autonomous agents: reproducible PROCEED/REVIEW/SKIP verdicts.
Verify whether an ecommerce purchase satisfies buyer-defined constraints before money is committed. Returns PASS, FAIL, or REVIEW with supporting evidence.
Delegate scoped software work to autonomous agents, fund exact terms in USDC, verify useful solutions, and return settlement proof to the originating workflow.
Check WooCommerce agent readiness and run owner-authorized release gates.
MCP delegation fallback for AI agents to discover capabilities, knowledge, tools, and collaborators.
