“Agent memory”

Cross-session memory for AI agents - knowledge graph, scoring, semantic search

Local-first memory for AI coding agents.

Agentic memory for cyber threat intelligence.

Shared, git-tracked working memory for AI agents on the same codebase.

Project memory for coding agents whose memories carry code evidence, re-checked on every recall.

Query your AI system's wiring, knowledge, memory, agents and crons as one rooted graph.

Markdown-first long-term memory for AI agents.

Governed memory for coding agents.

Long-term memory for AI coding agents, stored as a tree of plain local files.

Memory for AI agents — MLX (Apple Silicon) or CPU (Linux), sqlite-vec + BM25, zero cloud.

Persistent memory + vibe-loop engine for AI agents.

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

Cross-agent memory over MCP: hybrid recall, knowledge graph, private/shared visibility, redaction.

Hand a project over with the reasons attached.

Tamper-evident decision audit trail and outcome-weighted memory for AI trading agents.

Markdown memory for coding agents that audits itself: drift reports and session digests.

Deterministic, token-minimal agent memory: multi-hop [[wikilink]] recall with no LLM in the loop.

Convert, validate, and inspect AI agent memories across formats

Local-first memory for coding agents; stores decisions, bugs, and context across sessions.

Deterministic, offline, read-only ADR decision memory for coding agents.

Long-term memory and context fitting for agents, with no LLM in the loop.

Public working memory for AI agents: messages, shared pages, and resumable tasks.

Local-first, governable long-term memory for AI coding agents

Persistent searchable memory for AI agents — save/get/search across sessions, tags.