{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-tonresistor--teleton-agent","slug":"tonresistor--teleton-agent","name":"teleton-agent","type":"agent","url":"https://github.com/TONresistor/teleton-agent","page_url":"https://unfragile.ai/tonresistor--teleton-agent","categories":["ai-agents"],"tags":["ai-agent","autonomous-agent","gramjs","llm","nodejs","open-source","plugin-sdk","rag","self-hosted","telegram","ton-blockchain","typescript"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-tonresistor--teleton-agent__cap_0","uri":"capability://planning.reasoning.multi.turn.agentic.loop.with.tool.calling.orchestration","name":"multi-turn agentic loop with tool-calling orchestration","description":"Implements a 5-iteration maximum agentic loop via AgentRuntime.processMessage() that accepts user messages, routes them through an LLM provider (15+ supported via @mariozechner/pi-ai), parses tool-call responses, executes registered tools with argument validation, and returns final responses. Uses a schema-based function registry where each tool declares input/output types and scopes, enabling the LLM to autonomously decide which of 125+ built-in tools to invoke based on user intent and conversation context.","intents":["Build an autonomous agent that can handle multi-step tasks without human intervention between steps","Enable the agent to decide which actions to take based on LLM reasoning rather than hardcoded logic","Limit runaway tool-calling loops to prevent infinite recursion or excessive API calls"],"best_for":["Teams building autonomous Telegram bots that need to execute blockchain transactions, fetch data, and respond intelligently","Developers creating self-hosted agents that must operate without cloud dependencies"],"limitations":["Maximum 5 tool-call iterations per message — complex multi-step workflows may require external orchestration","Tool execution is sequential, not parallel — concurrent operations require custom tool implementation","No built-in rollback mechanism — failed tool calls are logged but not automatically reversed"],"requires":["Node.js 20+","Valid LLM API key (OpenAI, Anthropic, Ollama, or 12+ other providers)","Telegram session credentials (phone number or session.json)"],"input_types":["text (user message)","structured tool schemas (JSON)"],"output_types":["text (LLM response)","tool execution results (JSON)","structured observations (masked/unmasked)"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_1","uri":"capability://memory.knowledge.hybrid.rag.memory.with.sqlite.vec.and.fts5.fusion","name":"hybrid rag memory with sqlite-vec and fts5 fusion","description":"Implements a dual-index memory system using SQLite with sqlite-vec extension for semantic similarity search (cosine distance on embeddings) and FTS5 for full-text BM25 ranking, fused via Reciprocal Rank Fusion (RRF). Automatically compacts old messages via CompactionManager, which summarizes conversation segments using the LLM and replaces them with condensed entries, maintaining a bounded context window while preserving semantic information. Supports configurable embedding providers (OpenAI, Ollama, local) and stores all data locally in a single SQLite file.","intents":["Maintain long-running conversation history without exceeding LLM context limits","Retrieve relevant past messages using both semantic similarity and keyword matching","Automatically summarize old conversations to free up context space for new interactions"],"best_for":["Solo developers building self-hosted agents that must operate without cloud storage","Teams requiring GDPR/data-residency compliance — all memory stays local"],"limitations":["Embedding generation adds latency (~100-500ms per message depending on provider) — not suitable for sub-100ms response requirements","RRF fusion requires tuning of k-parameter for optimal ranking — default may not suit all use cases","Auto-compaction uses LLM tokens — high-volume agents may see increased API costs"],"requires":["SQLite 3.45+ with sqlite-vec compiled extension","Embedding provider API key or local Ollama instance","Disk space for SQLite database (typically <100MB for 10k messages)"],"input_types":["text (messages to store)","embeddings (vector representations)"],"output_types":["ranked message list (RRF-fused results)","summarized context (from CompactionManager)","raw message history"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_10","uri":"capability://automation.workflow.session.management.with.automatic.reconnection.and.state.recovery","name":"session management with automatic reconnection and state recovery","description":"Manages Telegram session persistence via session.json (encrypted) or phone number + 2FA, with automatic reconnection on network failures. Implements exponential backoff for reconnection attempts and state recovery to resume message processing after interruptions. The SessionStore class handles session serialization and encryption, and the TelegramBridge manages connection lifecycle and event routing.","intents":["Maintain persistent Telegram connections across network interruptions","Resume agent operation after crashes without manual re-authentication","Securely store Telegram session credentials"],"best_for":["Production deployments requiring high availability","Self-hosted agents that must survive network outages"],"limitations":["Session recovery is not atomic — messages may be lost during crashes","Encrypted session.json is still a single point of failure — no backup/replication","Exponential backoff may delay reconnection for extended outages (max ~30 minutes)"],"requires":["Telegram account credentials (phone or session.json)","Persistent storage for session.json"],"input_types":["Telegram credentials (phone, 2FA code)","session.json file"],"output_types":["encrypted session.json","connection status"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_11","uri":"capability://text.generation.language.multi.provider.llm.abstraction.with.15.model.support","name":"multi-provider llm abstraction with 15+ model support","description":"Abstracts LLM provider differences via @mariozechner/pi-ai, supporting 15+ providers (OpenAI, Anthropic, Ollama, Groq, Together, Mistral, etc.) and 70+ models. The LLM provider is configured in config.yaml and can be switched at runtime without code changes. Implements provider-agnostic message formatting, token counting, and error handling. Supports streaming responses and function calling across all providers with normalized schemas.","intents":["Switch between LLM providers without code changes","Use open-source models (Ollama) or proprietary models (OpenAI, Anthropic) interchangeably","Optimize cost by selecting the cheapest provider for a given task"],"best_for":["Teams wanting flexibility in LLM provider selection","Developers building cost-optimized agents that can switch providers dynamically"],"limitations":["Provider abstraction adds ~5-10% latency overhead due to normalization","Some provider-specific features (e.g., vision models) may not be fully abstracted","Token counting is approximate — actual usage may vary by provider"],"requires":["API key for selected LLM provider","@mariozechner/pi-ai npm package"],"input_types":["messages (text, images for vision models)","tool schemas (JSON)"],"output_types":["LLM response (text)","tool calls (JSON)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_12","uri":"capability://safety.moderation.journal.system.for.transaction.and.operation.auditing","name":"journal system for transaction and operation auditing","description":"Maintains an immutable audit log (Journal) of all significant operations: tool executions, blockchain transactions, message sends, and configuration changes. Each journal entry includes timestamp, user, operation type, parameters, and result. The journal is stored in SQLite and queryable via workspace tools. Supports filtering by operation type, user, or date range. Integrates with access control to ensure users can only view their own operations (unless admin).","intents":["Audit all agent operations for compliance and debugging","Trace the origin of blockchain transactions or message sends","Investigate security incidents by reviewing operation history"],"best_for":["Teams requiring compliance audit trails (financial, healthcare, etc.)","Organizations investigating security incidents"],"limitations":["Journal entries are immutable but not cryptographically signed — can be modified by database access","No built-in log rotation — large deployments may accumulate large journal tables","Journal queries are synchronous — high-volume agents may experience latency"],"requires":["SQLite database with write access","Workspace configuration with audit logging enabled"],"input_types":["operation metadata (type, user, parameters)"],"output_types":["journal entries (JSON)","audit reports"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_13","uri":"capability://tool.use.integration.dex.integration.with.ston.fi.and.dedust.swap.execution","name":"dex integration with ston.fi and dedust swap execution","description":"Integrates with STON.fi and DeDust decentralized exchanges to enable the agent to execute token swaps autonomously. Implements price quote fetching, slippage calculation, and transaction building for both DEXes. Supports jetton-to-jetton swaps and includes built-in tools for querying liquidity pools and swap rates. All swaps are executed via the TON wallet with transaction signing and blockchain confirmation.","intents":["Enable the agent to execute DEX swaps based on user requests or autonomous trading logic","Query DEX liquidity and pricing information","Implement automated trading strategies (e.g., rebalancing, arbitrage)"],"best_for":["Teams building DeFi agents on TON","Developers creating automated trading bots"],"limitations":["No slippage protection — swaps may fail if market moves during execution","Limited to STON.fi and DeDust — no support for other TON DEXes","Price quotes are point-in-time — may be stale if not refreshed frequently"],"requires":["TON wallet with sufficient balance for gas and swap amounts","STON.fi and DeDust API access"],"input_types":["swap parameters (input token, output token, amount)","slippage tolerance"],"output_types":["swap transaction hash","executed price","output amount"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_14","uri":"capability://tool.use.integration.nft.and.dns.operations.on.ton","name":"nft and dns operations on ton","description":"Supports NFT operations (querying collections, checking ownership, transferring NFTs) and TON DNS operations (resolving DNS names to addresses, registering domains, managing DNS records). Implements tools for NFT metadata retrieval, transfer execution, and DNS name resolution. All operations are executed via the TON blockchain with transaction signing.","intents":["Enable the agent to manage NFT portfolios (query, transfer, list)","Resolve TON DNS names and manage DNS records","Implement NFT-based access control or verification"],"best_for":["Teams building NFT-based applications on TON","Developers creating DNS management tools"],"limitations":["NFT metadata retrieval depends on external indexers — may be slow or incomplete","DNS operations are limited to TON DNS — no support for traditional DNS","No built-in NFT marketplace integration"],"requires":["TON wallet for transaction execution","TON DNS or NFT collection addresses"],"input_types":["NFT collection address, token ID","DNS name"],"output_types":["NFT metadata (JSON)","DNS resolution result","transaction hash"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_15","uri":"capability://automation.workflow.deals.system.for.multi.step.transaction.workflows","name":"deals system for multi-step transaction workflows","description":"Implements a Deals system that enables the agent to coordinate multi-step workflows involving multiple parties or transactions. A deal is a structured agreement with defined steps, participants, and conditions. The agent can propose deals, track their status, and execute steps as conditions are met. Deals are stored in the workspace and can be queried or modified via tools.","intents":["Coordinate complex multi-party transactions (e.g., escrow, atomic swaps)","Track the status of long-running workflows","Enable the agent to propose and negotiate deals with users"],"best_for":["Teams building marketplace or trading applications","Developers creating multi-party transaction workflows"],"limitations":["Deals are stored in SQLite — no blockchain-based verification or atomicity","No built-in dispute resolution — requires manual intervention","Deal execution is sequential — no parallel step execution"],"requires":["Workspace with deals storage enabled","Deal schema definition"],"input_types":["deal parameters (participants, steps, conditions)"],"output_types":["deal status (JSON)","step execution results"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_2","uri":"capability://tool.use.integration.mtproto.userbot.integration.via.gramjs.layer.222","name":"mtproto userbot integration via gramjs layer 222","description":"Operates as a real Telegram user account (not a bot) by implementing the MTProto protocol through GramJS Layer 222, enabling the agent to send/receive messages, join groups, manage chats, and access user-only features. Wraps GramJS in a TelegramBridge class that handles session persistence (phone number or session.json), automatic reconnection, event routing to the message processing pipeline, and inline query handling via Grammy. Supports both direct messages and group chats with configurable access control policies per workspace.","intents":["Deploy an agent that operates as a real Telegram user, not limited to bot API restrictions","Enable the agent to participate in group chats and respond to mentions without explicit commands","Maintain persistent Telegram sessions across restarts without re-authentication"],"best_for":["Developers building agents that need to operate in private groups or channels","Teams requiring user-level Telegram features (e.g., accessing user-only chats, forwarding messages)"],"limitations":["MTProto is reverse-engineered — Telegram may rate-limit or block accounts using GramJS","Session management requires storing phone number or session.json — security risk if not encrypted","No built-in support for Telegram bot API features like inline keyboards in all contexts — requires custom implementation"],"requires":["Telegram account (phone number)","API credentials (api_id, api_hash from my.telegram.org)","GramJS 2.x compatible with Layer 222"],"input_types":["Telegram messages (text, media, forwarded)","group chat events (joins, mentions)"],"output_types":["Telegram messages (text, media)","chat metadata (members, permissions)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_3","uri":"capability://tool.use.integration.native.ton.blockchain.wallet.and.transaction.execution","name":"native ton blockchain wallet and transaction execution","description":"Integrates TON blockchain operations through a W5R1 wallet implementation that signs and broadcasts transactions directly from the agent. Supports jetton transfers, NFT operations, DEX swaps (STON.fi, DeDust), DNS operations, and signed message verification. Implements a TON Proxy layer that manages wallet state, validates transaction parameters, and enforces tool-scope permissions before execution. All private keys are stored encrypted in the workspace secrets store, and transactions are auditable via the Journal system.","intents":["Enable the agent to autonomously execute blockchain transactions (transfers, swaps, NFT operations) based on user requests","Maintain secure key management with encrypted storage and per-tool permission scoping","Provide transaction auditability and rollback capability for financial operations"],"best_for":["Teams building DeFi agents that need to execute trades and transfers autonomously","Developers creating TON-native applications that require self-custody wallet operations"],"limitations":["W5R1 wallet is single-signature — no multi-sig support for high-security scenarios","Transaction execution is synchronous — high-volume trading may experience latency","No built-in slippage protection for DEX swaps — requires custom validation logic","Private key storage is encrypted but still in-process — not suitable for high-value wallets without additional HSM integration"],"requires":["TON wallet with sufficient balance for gas fees","TON RPC endpoint (public or private)","Valid workspace secrets store for key encryption"],"input_types":["transaction parameters (recipient, amount, jetton address)","DEX swap specifications (input token, output token, slippage)"],"output_types":["transaction hash (boc)","transaction status (pending, confirmed, failed)","balance updates"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_4","uri":"capability://tool.use.integration.plugin.sdk.with.typescript.first.extensibility","name":"plugin sdk with typescript-first extensibility","description":"Provides @teleton-agent/sdk, a TypeScript SDK that enables developers to create plugins that extend the agent with custom tools, LLM providers, or Telegram handlers. Plugins are loaded dynamically at runtime via the plugin system, which discovers plugins from npm packages or local directories, validates their schemas, and registers their tools into the global tool registry. Each plugin has access to namespaced SDK methods (Telegram, TON, Memory, Workspace) and can declare dependencies, permissions, and configuration schemas. Plugins are sandboxed via workspace isolation and subject to module-level permission checks.","intents":["Extend the agent with custom tools without modifying core codebase","Build reusable plugins that can be shared across multiple agent instances","Integrate third-party services (APIs, databases, custom logic) into the agent's tool ecosystem"],"best_for":["Teams building a plugin marketplace or ecosystem around Teleton","Developers who want to extend Teleton without forking the repository"],"limitations":["Plugins are loaded at startup — no hot-reloading without restart","Plugin isolation is via workspace sandboxing, not process isolation — malicious plugins can still access workspace data","SDK is TypeScript-only — no Python or other language support"],"requires":["TypeScript 5.7+","@teleton-agent/sdk npm package","Node.js 20+"],"input_types":["plugin schema (JSON)","tool definitions (TypeScript classes)"],"output_types":["registered tools (in global registry)","plugin metadata (name, version, permissions)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_5","uri":"capability://tool.use.integration.mcp.model.context.protocol.client.with.multi.transport.support","name":"mcp (model context protocol) client with multi-transport support","description":"Integrates with external MCP servers via stdio, SSE (Server-Sent Events), or HTTP transports, allowing the agent to access tools and resources exposed by MCP-compatible services. The MCP client is initialized during TeletonApp startup, discovers available tools from connected servers, and registers them into the global tool registry alongside built-in tools. Supports multiple concurrent MCP connections, each with independent transport configuration and tool namespacing.","intents":["Connect the agent to external MCP servers that provide specialized tools or data sources","Integrate with Claude or other MCP-compatible AI systems","Extend the agent's capabilities without writing custom plugins"],"best_for":["Teams integrating Teleton with existing MCP server infrastructure","Developers who want to leverage MCP tools without building custom plugins"],"limitations":["MCP transport overhead adds latency (~50-200ms per tool call depending on transport)","No built-in retry logic for failed MCP connections — requires external monitoring","Tool discovery is static at startup — new MCP tools require agent restart"],"requires":["MCP server running and accessible (stdio, SSE endpoint, or HTTP endpoint)","MCP protocol version compatibility"],"input_types":["MCP server configuration (transport, endpoint)","tool requests (MCP-formatted)"],"output_types":["tool results (MCP-formatted)","resource metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_6","uri":"capability://safety.moderation.access.control.and.permission.scoping.per.tool.and.module","name":"access control and permission scoping per tool and module","description":"Implements a fine-grained access control system where each tool declares a scope (e.g., 'telegram:send', 'ton:transfer', 'memory:write') and each workspace defines access control policies that grant or deny scopes to specific users or groups. The system enforces permissions at tool execution time via the ToolExecutor, preventing unauthorized operations. Supports role-based access control (RBAC) via admin commands and per-module permission checks. Integrates with input sanitization to prevent prompt injection attacks that might bypass permission checks.","intents":["Restrict which users can execute sensitive operations (e.g., blockchain transfers, message sending)","Implement role-based access control for multi-user agent deployments","Audit and log all tool executions for compliance"],"best_for":["Teams deploying agents in shared environments with multiple users","Organizations requiring compliance and audit trails for sensitive operations"],"limitations":["Permission checks are enforced at tool execution time — no compile-time verification","No built-in support for attribute-based access control (ABAC) — only RBAC","Audit logs are stored in SQLite — large-scale deployments may require external log aggregation"],"requires":["Workspace configuration with access control policies defined","User/group identifiers in Telegram (user IDs)"],"input_types":["access control policies (YAML/JSON)","tool scope declarations"],"output_types":["permission check results (allow/deny)","audit logs"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_7","uri":"capability://safety.moderation.input.sanitization.and.prompt.injection.defense","name":"input sanitization and prompt injection defense","description":"Implements multi-layer input sanitization to defend against prompt injection attacks. Sanitizes user messages before passing them to the LLM, validates tool arguments against declared schemas, and masks sensitive outputs (private keys, transaction hashes) before returning them to the LLM context. Uses a combination of regex-based filtering, schema validation, and observation masking to prevent attackers from manipulating the agent's behavior through crafted prompts or tool outputs.","intents":["Prevent attackers from using prompt injection to bypass access controls or execute unauthorized tools","Protect sensitive data (private keys, transaction details) from being exposed to the LLM","Validate tool arguments to prevent malformed or malicious inputs"],"best_for":["Teams deploying agents in untrusted environments or with untrusted users","Applications handling sensitive financial or personal data"],"limitations":["Sanitization rules are static — sophisticated prompt injection techniques may bypass them","Observation masking is applied uniformly — no fine-grained control per tool or user","No built-in detection of prompt injection attempts — only prevention"],"requires":["Sanitization rules configured in config.yaml","Tool schemas with input validation"],"input_types":["user messages (text)","tool outputs (any type)"],"output_types":["sanitized messages (text)","validation results (pass/fail)"],"categories":["safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_8","uri":"capability://automation.workflow.workspace.and.personality.configuration.with.yaml.schema","name":"workspace and personality configuration with yaml schema","description":"Manages agent configuration via a single config.yaml file that defines workspace settings (name, personality, LLM provider, embedding provider), Telegram credentials, TON wallet configuration, tool enablement, plugin loading, and access control policies. The configuration is validated against a JSON schema at startup, and changes can be applied via the WebUI configuration interface or CLI. Supports environment variable substitution for secrets (API keys, phone numbers) to enable secure deployment without hardcoding credentials.","intents":["Configure the agent's behavior, personality, and capabilities via a single configuration file","Deploy multiple agent instances with different configurations from the same codebase","Manage secrets securely using environment variables"],"best_for":["Teams deploying agents in containerized environments (Docker, Kubernetes)","Developers who want to quickly spin up agents with different configurations"],"limitations":["Configuration changes require agent restart — no hot-reloading","YAML schema is not versioned — breaking changes may require manual migration","Environment variable substitution is basic — no support for complex templating"],"requires":["config.yaml file in the working directory","Environment variables for secrets (TELEGRAM_PHONE, OPENAI_API_KEY, etc.)"],"input_types":["YAML configuration file","environment variables"],"output_types":["validated configuration object","configuration errors (if validation fails)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-tonresistor--teleton-agent__cap_9","uri":"capability://automation.workflow.webui.dashboard.with.real.time.monitoring.and.configuration","name":"webui dashboard with real-time monitoring and configuration","description":"Provides an optional Hono + React web interface (localhost:7777 by default) that displays agent status, message history, tool execution logs, and memory statistics in real-time. Enables configuration changes via the UI (LLM provider, tool enablement, access control policies), plugin marketplace browsing, and setup wizard for initial configuration. The dashboard connects to the agent via a REST API and WebSocket for real-time updates.","intents":["Monitor agent activity and performance without accessing logs directly","Configure the agent via a user-friendly UI instead of editing YAML","Browse and install plugins from a marketplace"],"best_for":["Non-technical users who want to configure and monitor agents","Teams requiring visibility into agent behavior for debugging and auditing"],"limitations":["WebUI is optional and adds ~50MB to deployment size","Real-time updates via WebSocket may not scale to high-volume agents (>100 messages/sec)","No built-in authentication — requires external reverse proxy for security"],"requires":["Hono web framework (included)","React (included)","Browser with WebSocket support"],"input_types":["configuration changes (JSON)","plugin installation requests"],"output_types":["agent status (JSON)","message history (JSON)","tool execution logs (JSON)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":35,"verified":false,"data_access_risk":"high","permissions":["Node.js 20+","Valid LLM API key (OpenAI, Anthropic, Ollama, or 12+ other providers)","Telegram session credentials (phone number or session.json)","SQLite 3.45+ with sqlite-vec compiled extension","Embedding provider API key or local Ollama instance","Disk space for SQLite database (typically <100MB for 10k messages)","Telegram account credentials (phone or session.json)","Persistent storage for session.json","API key for selected LLM provider","@mariozechner/pi-ai npm package"],"failure_modes":["Maximum 5 tool-call iterations per message — complex multi-step workflows may require external orchestration","Tool execution is sequential, not parallel — concurrent operations require custom tool implementation","No built-in rollback mechanism — failed tool calls are logged but not automatically reversed","Embedding generation adds latency (~100-500ms per message depending on provider) — not suitable for sub-100ms response requirements","RRF fusion requires tuning of k-parameter for optimal ranking — default may not suit all use cases","Auto-compaction uses LLM tokens — high-volume agents may see increased API costs","Session recovery is not atomic — messages may be lost during crashes","Encrypted session.json is still a single point of failure — no backup/replication","Exponential backoff may delay reconnection for extended outages (max ~30 minutes)","Provider abstraction adds ~5-10% latency overhead due to normalization","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.18724799114774038,"quality":0.35,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.064Z","last_scraped_at":"2026-04-22T08:01:58.579Z","last_commit":"2026-04-17T03:58:22Z"},"community":{"stars":70,"forks":23,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=tonresistor--teleton-agent","compare_url":"https://unfragile.ai/compare?artifact=tonresistor--teleton-agent"}},"signature":"NkjS3FA0Ho0R2WxOJXW8vInEanrfENIkiDW9eNOB+I1Ie1Li6BG5RWJH/13/sbO9hRQet/grZ6lP7yk1n3heDA==","signedAt":"2026-06-22T18:34:02.389Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/tonresistor--teleton-agent","artifact":"https://unfragile.ai/tonresistor--teleton-agent","verify":"https://unfragile.ai/api/v1/verify?slug=tonresistor--teleton-agent","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}