Knowledge & Memory

Code indexing MCP: 15 tools, 10 languages, hybrid search, call graphs, O(1) retrieval.

Local memory your AI tools share: decisions, notes and corrections that carry across sessions.

Planning AI. Sprint estimation, task breakdown, risk analysis. Learns your velocity.

Persistent agent memory with a decision layer: replay, restore, verify, or none — explainable.

Pre-action gates that block AI agents from repeating known mistakes.

Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB

Vehicle safety recalls from NHTSA by make, model, and year. No key required.

Detect stale source context and retain traceable code-chain understanding for AI coding agents.

Graph-powered code intelligence with semantic search and knowledge graph for AI assistants

Cognitive memory for coding agents: hybrid recall, remember/forget, knowledge graph, nightly dreams.

AI agent security: prompt injection detection, semantic memory, output scanning, prompt hardening

Decentralized agent memory for the Lightning economy. Nostr identity, L402 payments.

Memory that knows when a remembered fact has been replaced, not just when it was written.

MCP server for agent task workflows with phases, prompts, gates, and multi-agent coordination

Persistent memory for Claude Code. Search, recall, and re-inject context from any session.

Local-first memory engine for AI-agent teams: team/project ACL, recall, and federated sync.

Recall locally stored agent memories through an MCP-compatible host.

Local-first persistent memory MCP server for AI coding agents.

Zero-model recall over your docs: the section that answers a question, in about a millisecond.

Local-first persistent memory for AI agents, with reasoning and formal verification.