Knowledge & Memory

Local-first persistent memory for AI agents — SQLite + local embeddings, MCP-native, no cloud.

Self-hosted multi-user memory for AI agents: a human-readable Markdown wiki with per-fragment ACL.

Code graph context engine with 24 MCP tools. 170+ languages via tree-sitter.

Persistent code knowledge graph + 9 composite MCP tools for AI coding agents.

Persistent AI memory in one SQLite file: 3-layer hybrid search, confidence scoring, 29 tools.

Searchable agent memory: BM25 corpus recall, original-text injection, remember/forget capsules.

Local-first agent memory: versioned JSON categories, BM25 search, per-device ACL, fleet sync.

Self-correcting agent memory + MCP server: recall, supersede/revert/review corrections, erasure.

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

SEAM: local-first memory runtime for AI agents, with retrieval and glassbox provenance over MCP.

The trust and intelligence layer between AI agents and your database.

Your agent seeks what search can't find. A self-hosted perception MCP server.

Contextual blast-radius scoring for shell commands an AI agent is about to run

Local-first memory for AI agents: SQLite FTS5, deterministic recall, no vector DB, no cloud.

Open-source LLM knowledge base: team chat into a typed knowledge graph and auto-generated wiki.

Persistent, verified, cross-session memory for AI agents. 26 tools. SQLite + sync.

Trust-aware agent memory with evidence-backed recall, self-inspection, and audit history.

Verify multi-hop relational claims before an agent asserts them — zero tokens, with proof paths.

Persistent memory for AI agents. Store, recall, and share knowledge across sessions.

Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue.