Cortex persistent memory engine for OpenClaw — 4-tier architecture with Bayesian beliefs and people graph
Local-first memory for your AI brain — a nervous system that turns engrams into curated, persistent memories in a folder you control. Bundles `think serve` for piping external events (GitHub, Linear, …) into memory.
OpenClaw plugin for Cortex memory — Auto-Recall, Auto-Capture, and agent memory tools
Symbolic computing and numeric evaluations for JavaScript and Node.js
Structural code intelligence and persistent memory for AI coding agents, served over MCP (Claude Code, Codex).
Project governance CLI — tasks, epics, ADRs, wiki indexing
Trustworthy memory and security for AI agents. Recall debugging, review queue, OpenClaw session capture, and memory poisoning defence for Claude Code, Codex, OpenClaw, LangChain, and MCP agents.
Canvas for Node.js with skia backend
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The Autonomous Brain for your codebase — compiled architectural knowledge for AI-assisted development.
Doc pipeline: chunk prose content by heading, produce ingestible memories.
Long-term memory for AI agents. Stored as markdown in a git repo you own.
Code intelligence MCP server. Indexes your repository into a confidence-aware call graph with SCIP ingestion, framework adapters, and evidence-fusion ranking for AI coding agents.
Code pipeline: per-file memories with language detection and heuristic chunking.
Portable cognitive engine for AI agents — storage, embeddings, memory, FSRS, and MCP server
Local, repo-scoped context platform for coding assistants. Semantic search, graph relationships, and architectural rule context.
AI agent memory SDK built on Convex - ACID storage, vector search, and conversation management
Standalone hybrid-search memory backend for Cortex. Postgres + pgvector + tsvector, fused with reciprocal rank fusion. Cortex's canonical storage backend — supports embedded PGlite for personal installs and external Postgres for VPS / cloud deploys. Sel
3-pass meeting transcript extraction pipeline (structural -> synthesis -> brief).
The Memory Layer For Your AI Apps
Conversation pipeline: chat threads and email chains into searchable memories.
AI-native dual-graph knowledge representation — build, query, and persist typed knowledge graphs in-process.
Persistent memory for AI coding assistants. Injects context from past sessions into every LLM request.
Autonomous agent system for long-running projects — mission-driven, multi-agent pipelines, self-evolving skills.