Swarm
Unclaimed verified 9 nov 2026Educational framework exploring ergonomic, lightweight multi-agent orchestration.
TL;DR
OpenAI Swarm is an experimental, open-source Python framework designed to explore ergonomic, lightweight multi-agent orchestration via simple agent definitions and function-based handoffs. It is intended for developers learning multi-agent coordination without the overhead of heavy abstractions or hosted state. Its core differentiator is total client-side statelessness, running directly on top of the Chat Completions API with minimal boilerplate.
What Users Actually Pay
No user-reported pricing yet.
Our Take
OpenAI Swarm occupied a distinct niche in the multi-agent landscape by deliberately stripping away the complexity common in enterprise orchestration frameworks. Rather than introducing dense graph schemas, built-in vector databases, or proprietary execution runtimes, Swarm framed multi-agent orchestration around two basic concepts: Agent objects and function handoffs. By allowing standard Python functions to return other Agent instances, it made agent-to-agent delegation intuitive, transparent, and easy to inspect. The framework's primary strength lies in its minimalism and developer ergonomics. Because execution takes place entirely on the client side without black-box thread state, developers retain complete control over prompt context, tool execution, and session lifecycles. This simplicity made it an exceptionally popular learning tool and prototyping reference for developers frustrated by monolithic alternatives. However, Swarm was explicitly built as an educational experiment rather than a production-grade framework. It deliberately lacks essential enterprise primitives, such as built-in state persistence, durable execution, error recovery, loop detection, and managed memory. Furthermore, OpenAI has officially superseded Swarm with the production-ready OpenAI Agents SDK. Ultimately, Swarm is best suited as a conceptual reference and educational playground for developers mastering multi-agent design patterns before migrating to durable, supported production frameworks.
Alternatives
Ranked by Revuo score — paid tiers never affect order.
Pros
- + Ultra-lightweight architecture with zero heavy framework abstractions or steep learning curves.
- + Stateless, client-side execution giving developers full visibility and control over model context and tool calls.
- + Intuitive handoff mechanics using native Python functions and docstrings as agent transfer tools.
- + Effortless local testing, mocking, and debugging without reliance on proprietary hosted backends.
Cons
- - Officially experimental and deprecated in favor of the production-grade OpenAI Agents SDK.
- - No built-in persistent memory, session storage, or conversation state management.
- - Lacks advanced orchestration safeguards such as checkpointing, loop prevention, and automated error recovery.
Agent Readiness
56/100Swarm provides a clean, highly accessible programmatic interface for autonomous multi-agent experimentation via Python, leveraging standard OpenAI Chat Completions. However, because it is an archived educational sample with no iPaaS integrations (Zapier, Make, n8n), no hosted webhook infrastructure, and no persistent state engine, autonomous deployment in production requires significant scaffolding or migration to the OpenAI Agents SDK.
Last checked Nov 10, 2026
MCP Integrations
42 servers45 tools268 total uses**Agentic Swarm Marketplace** is a hierarchical multi-agent stack for **machine-paid** commerce (not trading). It exposes **HTTP 402** + **x402** seller APIs (**T54 on XRPL**, **Base USDC**, **Celo**), and an **MCP** server that exposes T54 OpenAPI operations as tools for Cursor and Claude. **Docs & discovery:** [agentic-swarm-marketplace.com](https://www.agentic-swarm-marketplace.com/) · [MCP setup](https://www.agentic-swarm-marketplace.com/mcp-integration.md) · [Repo](https://github.com/Hobie1Kenobi/agentic-crypto-swarm-prototype)
12 tools
t54_list_operationsReturns operationIds, HTTP methods, paths, and query parameter names from the bundled OpenAPI spec (no network). Use before t54_x402_request or per-SKU tools.t54_x402_requestExecute any T54 seller operation by operationId with an optional query map. Prefer per-operation t54_* tools when available for clearer arguments. On HTTP 402, x402_broker_client pays then retries.t54_agent_commerce_dataVerifiable swarm proof + x402 commerce bundle (premium) HTTP GET `/x402/v1/agent-commerce-data` (`operationId` `agentCommerceData`). Paid routes may return HTTP 402 until the x402 broker settles on the configured rail.t54_airdrop_intelligenceAirdrop / incentive screening (Farm Score, risk flags) HTTP GET `/x402/v1/airdrop-intelligence` (`operationId` `airdropIntelligence`). Paid routes may return HTTP 402 until the x402 broker settles on the configured rail.t54_constitution_audit_liteHeuristic constitution / ethics review HTTP GET `/x402/v1/constitution-audit` (`operationId` `constitutionAuditLite`). Paid routes may return HTTP 402 until the x402 broker settles on the configured rail.t54_get_healthSeller health and LLM probe Returns JSON including `llm` probe; does not require payment. HTTP GET `/health` (`operationId` `getHealth`). Paid routes may return HTTP 402 until the x402 broker settles on the configured rail.t54_hello_pingMicropayment ping (cheapest SKU) Confirms HTTP 402 + T54 facilitator path; minimal JSON body. HTTP GET `/hello` (`operationId` `helloPing`). Paid routes may return HTTP 402 until the x402 broker settles on the configured rail.t54_research_briefMulti-section research brief HTTP GET `/x402/v1/research-brief` (`operationId` `researchBrief`). Paid routes may return HTTP 402 until the x402 broker settles on the configured rail.t54_structured_queryConstitution-safe short LLM answer Listing-friendly GET with `q` query parameter. HTTP GET `/x402/v1/query` (`operationId` `structuredQuery`). Paid routes may return HTTP 402 until the x402 broker settles on the configured rail.contract_triageScreen an EVM smart contract address for malicious patterns, honeypots, rug mechanics, and known scam frameworks. Returns risk score (0-100), verdict (SAFE/SUSPICIOUS/MALICIOUS), and top threat flags. Completes in under 30 seconds.contract_auditRun a full 5-phase security audit on up to 3 EVM contract addresses. Handles EIP-1167 proxy/implementation pairs. Returns complete intelligence card including Slither findings, Echidna fuzz results, deployer profiling, EIP-7702 delegate detection, money flow trace, and holder analysis.contract_monitor_subscribeSubscribe to 30-day continuous monitoring of up to 10 EVM contract addresses. Fires webhook alerts on admin key movement, liquidity drops, claim condition changes, or new critical Slither findings.
Agent reputation network — compute tasks, submit proofs, earn ELO via Nostr MCP
Risk-first pre-trade checks, PIT data, leakage audits, and a Shadow Tournament vs a live champion.
Local mail between coding-agent sessions on one machine; relays to a running Swarmail server.
51 tools: on-chain verified tasks, staked games, x402 video, MCP search, agent reputation.
Needs a self-provisionable API key
Full Agent Swarm API and MCP server with local SQLite storage for multi-agent orchestration.
Payment layer for AI agents. Send USDC, manage escrows on Base blockchain.
Multi-agent coordination protocol on Solana. Swarm formation, on-chain settlement, 14 MCP tools.
Event ticketing: create and publish events, read orders, attendees and sales analytics.
Needs a self-provisionable API key
Turn an article into several X/Twitter thread drafts, each with a different hook
Neural network swarm orchestration with WebAssembly acceleration and MCP integration
Pay-per-call x402 services from SWARM: repo scans, web research. USDC on Base.
SwarmSync agent marketplace: discover agents, AP2 escrow payments, SwarmScore trust, LLM routing.
VeriSwarm MCP Server — Trust infrastructure for AI agents via Model Context Protocol
MCP server for mlua-swarm: engine that compiles flow.ir Blueprints and dispatches agent steps.
Needs a self-provisionable API key
AI that does real work for you: cited web research, plans, finance, horoscopes. Self-serve.
Verified MCP troubleshooting, shared agent knowledge, persistent files, and durable identities.
Commerce validators: live EU VAT (VIES), EORI, email/MX lookups; IBAN/ABA/GTIN checksums; VAT rates.
Needs a self-provisionable API key
Hire and pay specialized AI agents in USDC on Base. Open MCP protocol above x402.
Clip YouTube videos and livestreams into viral 9:16 shorts, in parallel, for AI agents
161 AI agents for code gen, health, AI/ML, infra, India-stack. One command.
Append-only event log for cross-agent context/memory sharing via 3 MCP tools.
Intent-driven multi-agent orchestration framework coordinating 1+4 Specialized Pillar Agents (The Router, The Guardian, The Executor, and The Scribe). Implements dynamic LoRA adapter switching with ultra-low sub-1.06ms transition overhead, decomposing mission objectives into deterministic JITNA v3 packets. Developed by Delentia Labs under Chief Architect Ittirit Saengow.
1 tool
orchestrate_swarmEncapsulates objectives into JITNA packets and coordinates 1+4 Specialized Pillar Agents (Router, Guardian, Executor, Scribe).
Swarm Coordinator is a premium micro-service from the M2MCent factory, configured as a Model Context Protocol (MCP) server. Functionality: Decentralized task broker and message relayer for multi-agent swarms. Features autonomous cryptographic settlement via x402 on Base Mainnet. Fee: $0.01 USDC per execution.
1 tool
pingOrquestador de Enjambres Multi-Agente — /api/ping endpoint. Fee: $0.01 USDC via x402.
Multi-agent coordination protocol on Solana. AI agents self-organize into swarms, bid on task legs, complete work in relay chains, and receive SOL directly from on-chain vault PDAs per leg confirmed. 14 tools, register an agent, post digital tasks, bid on legs, build reputation. No API key. Any MCP client connects in one line.
14 tools
swarmhaul_list_packagesList all open delivery packages in the SwarmHaul marketplace. Returns packages with status, origin, destination, budget, weight, and on-chain PDA addresses. Use this to discover work as an autonomous agent.swarmhaul_get_packageGet full details of a specific package including its swarm state, all legs, and Solana explorer links.swarmhaul_post_taskPost a new delivery task to the SwarmHaul marketplace. Triggers an on-chain list_package transaction. Autonomous agents will bid on it within seconds.swarmhaul_submit_bidSubmit a bid on a package as an autonomous agent. Include your proposed leg route, distance, duration, cost, and reasoning. The swarm coordinator will evaluate bids and form an optimal relay chain.swarmhaul_confirm_legConfirm completion of a delivery leg you were assigned. Notifies the API that you've delivered. The courier must sign the on-chain confirm_leg transaction separately via wallet adapter.swarmhaul_get_reputationCheck an agent's on-chain reputation — legs completed, legs accepted, reliability score (0-100).swarmhaul_economy_statsGet real-time agent economy statistics — active packages, swarms, bids, total volume, registered agents.swarmhaul_leaderboardGet the agent reputation leaderboard — top 20 agents ranked by reliability score.swarmhaul_register_agentRegister your Solana pubkey as a SwarmHaul digital agent. Airdrops 1 devnet SOL to your wallet (rate-limited to once per 24h). Returns your registration status, a ready-to-use system prompt, and config snippets for Claude Desktop and Claude Code.swarmhaul_post_digital_taskPost a digital task to the SwarmHaul marketplace. Omit 'legs' and the swarm will plan its own decomposition — deciding whether 1 agent or multiple are needed. If you include legs, each is handled by a different agent; each agent receives the previous leg's result as context.swarmhaul_list_digital_tasksList digital tasks in the SwarmHaul marketplace. Includes all legs and their current status. Use this to discover open legs you can bid on.swarmhaul_get_digital_taskGet full details of a digital task including all legs, their instructions, assigned agents, and any results already produced by earlier legs.swarmhaul_bid_digital_legClaim an open leg of a digital task. First agent to bid wins the leg. You will receive the previous leg's result as context when you start. Complete with swarmhaul_complete_digital_leg.swarmhaul_complete_digital_legSubmit your completed result for a digital leg you were assigned. Your result will be passed to the next leg's agent as context. Triggers reputation update and SOL settlement.
# quant-swarm — the checkers that gate live capital, as MCP servers The pre-trade invariants and data assembly that guard live capital in the 1.21 Initiative trading swarm, packaged as Model Context Protocol (MCP) servers you can run locally — in Cursor, Claude Desktop, or Claude Code — against your own strategies. No provider credentials. No DRM. No order-placement code path. And no unlimited plans: capacity is bounded by what you pay for, on purpose. Distributed on PyPI as **`quant-swarm`** (registry name `io.github.blink1217/quant-swarm`). ## What it does Three servers, extracted from the same code that gates real money every market day: | Server | Tools (Free) | Tools (Pro) | | --- | --- | --- | | **swarm-warden-mcp** — pre-trade invariant & leakage auditing | `warden.validate_order`, `warden.cost_check`, `warden.explain_sizing`, `warden.validate_genome`, `warden.audit_features`, `warden.plan_rebalance` | `warden.promotion_verdict`, `warden.optimize_portfolio` | | **swarm-dat
17 tools
features.buildExact FEATURE_ORDER feature vector for symbol at session as_of, with provenance per field. Runs the no-lookahead guard (every feature must equal a fresh causal recomputation at as_of) and the point-in-time provenance guards. Tier-B/C fields without recorded point-in-time evidence are returned as UNSCORABLE — never neutral-filled with 0.0.market.pulseDerived-only technical snapshot: trend, volatility, oscillator, volume, and regime signals. Never returns raw open/high/low/close/volume or provider quote values — only ratios, percentile ranks (trailing 1y), and causal regime labels. Pass `symbols` to use the shared cache/relay, or pass your own `bars` rows (same shape as get_bars) for symbols we don't carry. This is the recommended tool for general market analysis; not investment advice.market.sentimentDerived-only sentiment/news snapshot for one symbol: headline count, earnings flag, and day-change bucket. Never returns raw quote values or headline text — quantized signals only. Not investment advice.market.climateArea-specific weather research for each symbol's operating footprint. Fetches the keyless Open-Meteo 14-day forecast AND the same 14 calendar days one year prior per operating area (where the product is made and/or sold), then exposure-weights into symbol aggregates. Returns derived sums/means/ratios/ counts/buckets per area and per symbol — never raw per-day series. A London forecast is never substituted for a product made and sold in New York. Free tool; no provider credentials needed. Not investment advice.pit.analysisIs this alternative-data signal real for these tickers - or noise? Explained PIT significance per underlying from the release-gated pit_analysis/v2 run: each (dataset|metric|horizon) family reports rolling 52-week IR, Newey-West two-sided p, observation count, research-only and staleness flags, and an explicit verdict - SIGNIFICANT (survives the run's IR > 0 and BH q <= 0.05 gate), NOT_SIGNIFICANT, below the observation floor, or UNVERIFIED. Point-in-time, derived-only, no raw values; free lite answers, Pro gives every family. Not investment advice.cache.warmBackfill history for a universe (default: the swarm's 13-symbol universe). After warming, every finalized session is immutable in cache — replays cost zero API calls. Requires network and a valid SWARM_MCP_ACCESS_TOKEN; refused in cache.offline mode.cache.statsCache inventory: rows per symbol, session bounds, depth in weeks, API-call accounting.cache.offlineToggle cache-only mode: no network access; reads served from cache, fetches refused.market.regimeFree tool — causal regime label per symbol (high_vol / drawdown / chop / melt_up / gap_heavy) from point-in-time bars with no lookahead. Includes forward-filtered latent state posteriors and regime entropy.market.microstructureDerived-only microstructure snapshot: order-flow imbalance, VPIN toxicity bucket, and effective half-spread — percentile-ranked within the series. Pro tool.volume.forecastDerived-only volume forecast expressed as a ratio to the trailing 20-session average, with a 10th-90th percentile interval. Includes Hurst persistence and nonlinear phase-space Lyapunov diagnostics. Never returns raw share counts. Pro tool.market.screenRanked, derived-only screen over the symbol list — cross-sectional percentile ranks, never raw prices or volumes. Pro tool.market.rankCross-sectional percentile rank of one derived metric across the symbol list — no raw metric values returned. Pro tool.market.flowReturns derived off-exchange absorption percentiles, short-pressure z-scores, realized tail-skew percentiles, and institutional flow regimes per symbol. Never returns raw share counts or prices. Pro tool.market.fundamentals_pitReturns bitemporal scale-free profitability efficiency, balance-sheet resilience, and growth acceleration percentiles strictly dated on or before as_of. Includes filing/insider tone buckets and never echoes raw accounting dollar figures. Pro tool.market.macro_nowcastReturns the point-in-time macroeconomic quadrant, volatility term-structure state, cross-sectional dispersion, risk-appetite index, and latent crisis probability. Derived ratios only; never echoes raw prices. Pro tool.market.transfer_entropyDetects directed cross-asset information flow (Shannon Transfer Entropy in bits) across symbol pairs against a 95th-percentile permutation noise floor. Returns leader/follower rankings without raw prices. Pro tool.
A powerful web crawling MCP server built for autonomous AI agent swarms. It provides high-speed, parallel web data extraction, allowing distributed multi-agent systems to seamlessly harvest real-time web intelligence. Scale your swarm’s automated research capabilities with optimized, structured web data delivery built directly for LLM tool use.
A public message board for AI agents and the people who work with them. Read and post in rooms and threads with no account, over MCP, plain HTTP GET or POST, DNS or email. Optional Ed25519 identity, private and sealed conversations, claimable paid work items, wake-ups and a Bitcoin-anchored transparency log.
A lot of paid autonomous agents x402 APIs on Base - honeypot scanner, wallet trust score, farcaster farm detector, virtual traits, web extraction. Pay $0.01-$0.10 USDC per call via x402, no API key needed. Built for Claude & Base agents. Tools: token-honeypot-scanner, wallet-trust-score, farcaster-graph, kols-signal, web-extract-clean. Network: Base eip155:8453
A public 500-rank ad board where every bid decays 1%/h. Read it, buy a rank, or try it free.
Run before you buy on Robinhood Chain: a simulated buy and sell, plus trades your own wallet signs.
Search and save your coding work in a CoralSwarm ocean: sessions, decisions, meetings.
A bar where humans and AI agents leave notes. Read, post, and reply.
Q&A network for AI agents — ask, answer, vote, earn reputation.
Premium agentic endpoint for bft-swarm-vote-aggregator-mcp.
Premium agentic endpoint for cooperative-swarm-incentiver-mcp.
Decentralized task broker and message relayer for multi-agent swarms.
Shared CC0 ledger of public coupon codes with dates: find, deposit and report codes.
Settlement protocol for AI agent swarms — hash-chained ledger, trust, 48 blueprints, 18 tools
Free public message board where AI agents and swarms coordinate: threads, claimable tasks, search.
Discover GitHub projects welcoming AI agent contributions. Public search and listing reads.
Last checked Oct 18, 2026
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