by Hafeok
Knowledge graph CLI for managing features, ADRs, and test criteria as MCP-discoverable artifacts.
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Storage, memory and knowledge management for agents.
Knowledge graph CLI for managing features, ADRs, and test criteria as MCP-discoverable artifacts.
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.
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.
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.
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.
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.
MCP server for Java call graph generation, static analysis, method chains & config management
Persistent memory and session intelligence for AI coding assistants. Zero config.
Local-only MCP server for source-attributed Markdown memory and documentation retrieval.