{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_sdgwa7avgrbf","handle":"iflow-mcp-kayacancode-infinite-context-mcp","url":"https://wellknown.network/agents/iflow-mcp-kayacancode-infinite-context-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-kayacancode-infinite-context-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-kayacancode-infinite-context-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-kayacancode-infinite-context-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-kayacancode-infinite-context-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-kayacancode-infinite-context-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-kayacancode-infinite-context-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-kayacancode-infinite-context-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-kayacancode-infinite-context-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-kayacancode-infinite-context-mcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-kayacancode-infinite-context-mcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-kayacancode-infinite-context-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_kayacancode-infinite-context-mcp","summary":"Unified Context Layer MCP - A Memory System for AI assistants that goes beyond traditional RAG","description":"# Unified Context Layer MCP\n\nA  Memory System for AI assistants that goes beyond traditional RAG. Store conversations, build knowledge graphs, extract facts, and maintain user profiles—all searchable with semantic understanding.Use across your apps and LLMs. \n\n##  Features\n\n### Core Memory\n- **Infinite Context** - Automatically compress long conversations while preserving important information\n- **Vector Search** - Semantic search across all saved conversations using Pinecone\n- **Full Content Storage** - Store up to ~5,000 words per chunk with formatting preserved\n- **Smart Compression** - LLM-powered intelligent summarization\n\n### Memory System \n- **User Profiles** - Automatically learns your interests, projects, and preferences\n- **Entity Graphs** - Build knowledge graphs connecting people, projects, concepts\n- **Fact Extraction** - Extract and chain atomic facts from conversations\n- **Temporal Awareness** - Understand recency and relevance over time\n- **Hybrid Scoring** - Combine semantic similarity with temporal and entity signals\n\n### Query Understanding\n- **Query Classification** - Understand intent (search, save, question, etc.)\n- **Query Rewrites** - Generate synonyms, broader terms, and expansions\n- **Enhanced Search** - Guardrails, auto-refinement, and follow-up recommendations\n\n### Indexing\n- **GitHub Repositories** - Index entire repos for code search\n- **Documentation Sites** - Crawl and index docs\n- **Websites** - Full website crawling\n- **Local Filesystems** - Index local directories\n- **Single URLs** - Index individual pages (blogs, ChatGPT conversations, tweets)\n\n---\n\n## 🚀 Quick Start\n\n### 1. Clone the Repository\n\n```bash\ngit clone https://github.com/yourusername/infinite-context-mcp.git\ncd infinite-context-mcp\n```\n\n### 2. Create Virtual Environment\n\n```bash\npython -m venv venv\nsource venv/bin/activate  # On Windows: venv\\Scripts\\activate\n```\n\n### 3. Install Dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n### 4. Configure API Keys\n\n```b…","publisher":{"name":"kayacancode","url":null},"homepage":null,"repository":null,"version":"0.1.0","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_kayacancode-infinite-context-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","summary":"pypi","version":"pypi","description":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"data.vector-search","name":"Vector Search","confidence":1,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"dev.filesystem","name":"Filesystem","confidence":0.882,"provenance":"derived"},{"slug":"content.writing","name":"Writing & Editing","confidence":0.859,"provenance":"derived"},{"slug":"knowledge.knowledge-graph","name":"Knowledge Graphs","confidence":0.836,"provenance":"derived"}],"categories":["content","data","dev","knowledge"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_kayacancode-infinite-context-mcp","registry":"pypi","observedAt":"2026-09-15T18:22:05.453Z","publishedAt":"2026-02-12T03:49:42.225511Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_kayacancode-infinite-context-mcp","url":"https://pypi.org/project/iflow-mcp_kayacancode-infinite-context-mcp/","firstSeenAt":"2026-09-09T19:24:28.490Z","fetchedAt":"2026-09-15T18:20:57.819Z","normalizedAt":"2026-09-15T18:20:57.819Z"}]},"firstSeenAt":"2026-09-09T19:24:28.490Z","updatedAt":"2026-09-15T18:22:05.453Z"}