Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.
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MCP servers for embeddings, vector stores, model gateways, and long-term memory.
Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.
RAG retrieval IR metrics: recall@k, hit@k, MRR, NDCG@k, evaluate_batch.
Persistent memory for Claude Code. Search, recall, and re-inject context from any session.
Token-budget-aware text handling: count, truncate, and chunk for LLM prompts.
LLM cost optimization. Audit your calls, prove savings, route to the cheapest quality model. BYOK.
Real-time NSE/BSE stock sentiment, news NLP, technical analysis & RAG search via MCP.
One searchable memory of your Claude.ai chats and Claude Code sessions, served over MCP.
Track how 350+ AI models mention your brand — manage projects, run scans, analyze results
Local-first AI context and memory server for cross-tool coding continuity.
Read-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.
Persistent memory layer for AI coding agents — your agent remembers what you taught it.
Persistent memory, task coordination, and HITL queue for AI coding sessions.
Persistent session memory for Claude Code. Local SQLite, no LLMs, no network.
Scan website legal docs for missing or stale compliance clauses. Rule-based, no LLM.
AI health, token usage, LLM cost optimization, BYOK vault, and cleanup audits for MCP agents.
Token counting & multi-model LLM cost estimates: GPT-4o, Claude, Gemini, 25+. No API key.
Procedure verification for AR/XR with memory, visual sessions, and DPO trajectory export.
Shared, persistent memory for AI agents — works with Claude, Kiro, Cursor, or any MCP client.
Efficient context management: code search, evidence packs, and memory for coding agents.
Graph-based memory system for LLMs with knowledge graphs and semantic search.
MCP server for persistent, semantic memory across AI sessions
Inject, parse, and strip [N] citation markers in RAG outputs.
Clean raw HTML into LLM-ready text before agents spend tokens.
Stealthy, LLM-drivable browser engine — a Python library + 85-tool MCP server on stealth Chromium.