21 packages found
Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.
Persistent AI memory for Claude Code, OpenClaw, and any MCP-compatible agent. BM25F + vector hybrid, governance-aware, l
Cognitive memory for AI agents. Pure Rust, <1ms recall, 2.7MB, zero cloud. Patent Pending.
Cognitive memory for AI agents. Pure Rust, <1ms recall, 2.7MB, zero cloud. Patent Pending.
Zero-config MCP server for searchable documentation (SQLite default, PostgreSQL optional)
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
Reliable research infrastructure for AI agents. Evidence-backed web search with citations, confidence scores, and Clarit
A semantic search engine for files and code.
Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip i
Persistent semantic memory server for MCP - Give your AI long-term memory that survives across conversations. Lightweigh
MCP server for external memory layer for AI agents + more . Download from pypi , and get started
Local-first, eval-first memory for long-horizon AI agents — no LLM at ingest. Python SDK + MCP server with source-tracea
Open-source deep research MCP. Qwen3-30B-A3B-Thinking via OpenRouter, cited web synthesis for Claude Code, Codex, Cursor
Open-source MCP Server for web search, content extraction, library docs & multimodal analysis.
The best-benchmarked open-source memory system for AI coding assistants
Agent state infrastructure: state-trace Python working memory plus @razroo/parallel-mcp durable MCP orchestration.
Image and video understanding + generation for AI agents -- across Gemini, OpenAI, and Grok.
Model Context Protocol server giving AI assistants live access to moodledev.io docs, Hooks API, capabilities, XMLDB, and
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures
Persistent memory and session intelligence for AI coding assistants. Auto-tracks mistakes, decisions, and context via ho
Search infrastructure for AI agents: free by default, MCP-ready, LLM-context aware, and production-grade when needed.