Knowledge & Memory

MCP server giving AI agents persistent SQLite memory that proves which lessons hold.

Local MCP memory with evidence-based recall and advisory conflict notices.

An MCP server that provides persistent memory and context management across sessions

Safe Facebook Pages publishing with brand-voice, image-required & anti-duplication checks.

Real-time codebase graph for AI assistants: call graphs, dependencies, symbol lookup.

Exposes a CognOS agent system as a machine-readable graph. Full system snapshot with one tool call.

CognOS trust scoring (C=p·(1-Ue-Ua)) and session trace storage as MCP tools.

Hosted agent memory with provenance, contradiction surfacing, and snapshot rollback.

Local-first knowledge management with bi-directional LLM sync via Markdown files.

Auditable memory for AI agents: provable deletion, tamper-evident audit, time-travel recall.

Structured session journals for AI agents. Persistent memory across sessions.

Cross-project knowledge graph for MCP — map features across mobile, backend, and admin codebases.

Persistent memory for AI agents — semantic + recency search, ONNX embeddings, Docker Compose.

AI-powered localization — translate, manage translation memory, and access style guides.

Persistent memory for AI coding agents: one Rust binary, one local SQLite database.

Persistent agent memory as a single Go binary: knowledge graph, TUI observability, zero infra.

Spatial AI lab; maker and maintainer of the emem protocol. The architecture is an encoder and a decoder: satellites and detectors encode the world into signed, content-addressed tokens (nine shapes: emem:fact:, emem:cell:, emem:entity:, emem:bundle:, emem:raster:, emem:cube:, emem:rasterset:, emem:…

Biologically-inspired persistent memory engine for Claude Code MCP agents

Local-first, source-grounded memory that survives AI agent sessions.

MCP-first agent learning: capture failures, validate lessons, retrieve context, improve.