Forge Knowledge Engine

Source-grounded MCP, A2A, and x402 metadata for verified knowledge commerce.

Local-first agent memory: a plain-Markdown Obsidian vault is the source of truth, with a rebuildable DuckDB index for hybrid BM25 + vector + graph recall.

Local Work Model for AI agents that learns from real outcomes.

Adaptive MCP memory system for AI applications. Learns which retrieval strategies work for your data, scores results using cognitive science models, builds a knowledge graph automatically, and validates every parameter change against real query history before adopting it. Patent pending.

Auditable, self-improving knowledge & memory for AI agents over MCP — citation-enforced answers and a replayable why-trace, self-hosted on Postgres.

Agents Remember is a Drift-aware repository memory for coding agents in complex codebases. Captures what code can't say on its own! Retrieves memory by path, semantic search, and relationship (code-graph).

Open-source LLM knowledge base that turns team chat (Slack, Discord, Teams, Mattermost) into a typed knowledge graph and auto-generated wiki, exposed via a 28-tool MCP server.

Highly efficient context management for agentic AI: MCP code search, evidence packs, graph context, and memory for large projects.

Self-hosted Rust-based MCP server for AI agent memory — persistent, queryable memory with hybrid search, knowledge graphs, built-in embeddings, and 14 core tools (expandable to 86+ with profile-based tiering).

Self-hosted MCP server giving AI agents persistent memory — Markdown source of truth, hybrid BM25+embedding search, typed graph relations.

Search, traverse and edit a Filamental knowledge graph from any MCP-compatible AI client. Local-first, no cloud, no auth required.