Memory & knowledge

S

Persistent memory and session intelligence for AI coding assistants. Zero config.

S

Context Engineering Engine. Provides cognitive tools, memory structures, and agent patterns.

A

Agent-to-Agent (A2A) + Model Context Protocol (MCP) hub for peptides.

A

Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.

C

Persistent memory and drift detection for AI agents across session restarts.

A

Cloud-persistent, semantic-search memory MCP, drop-in for server-memory, backed by ZeroDB.

A

Persistent cross-session memory for OpenCode and MCP coding agents, powered by ZeroDB.

A

ZeroDB agent-memory MCP, 18 tools: memory + write-back to Slack, Gmail, Calendar, GitHub.

Q

Governed redis + rabbitmq ops: memory/latency/backlog/churn RCA, policies. 28 tools.

R

MCP for rules/skills/knowledge evaluation for Cursor, Claude, VS Code, and Antigravity.

W

Persistent graph-backed conversational memory for AI agents.

S

Desktop and mobile website screenshots plus page context for AI agents and automation workflows.

M

Intelligent AI workflow orchestration with long-term memory, 100+ integrations, and unified credits.

A

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

A

Agent runtime with typed memory, knowledge and code graphs, plus file and web tools

C

Codebase memory for AI agents: an AST index plus agent-written notes that self-stale.

C

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

S

BSV coding knowledge engine for AI agents, pre-compile traps and post-compile diagnosis.

C

Local MCP proxy: collapses N servers' tools into 4 meta-tools and compresses large tool outputs.

A

Self-host MCP: portfolio crypto context for agents. PyPI stdio; MIT.

O

Cross-device AI memory with encrypted activity capture and context handoff between AI tools

D

Public knowledge and news search. Unmatched public queries may be retained for research.

V

Index source code into a local knowledge base, search with keyword + semantic + hybrid modes.

P

Local, token-budgeted code context with file:line provenance and selection receipts.

N

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

E

Local semantic search, embedding-powered grep for files, zero external services.

S

Reduces AI agent token usage by 90% via context compression and task checkpoint persistence.

B

Shared knowledge graph, skills, and tool discovery for AI agents through the Model Context Protocol.

M

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

E

Local Markdown/Obsidian knowledge substrate for MCP agents with governed memory and hybrid search.