Production-ready long-term memory server for AI agents with Ebbinghaus decay and strength-weighted retrieval. Use when you need persistent memory across agen...
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to rec
Persistent agent operating system for OpenClaw. Agents remember across sessions, learn from experience, coordinate on complex projects without duplicate work.
Enables OpenClaw agents to store, recall, update, list, and forget persistent hierarchical memories across sessions via the SQ protocol.
Test-driven behavioral verification for AI agents. Catches silent degradation when agent loads memory but doesn't apply learned behaviors. Use when building agent with persistent memory, testing after
Provides persistent two-tier memory with semantic fact search and raw content retrieval, plus automatic cleanup of temporary session files.
AI-native memory and orchestration system for OpenClaw. Transforms agents from stateless workers into structured orchestrators with persistent memory, behavi...
Use when: you chat across topics and want explicit boundaries to prevent topic bleed. Tags: [ISO], [SCOPE], [GLOBAL], [NOMEM], [REM]. (Memory tags are signal...
Persistent semantic memory layer for AI agents. Local-first storage (SQLite+LanceDB) with Ollama embeddings. Store and recall facts, decisions, preferences, events, relationships across sessions. Supp
Local persistent memory for OpenClaw agents. Captures conversations, extracts structured facts via LLM, and auto-recalls relevant knowledge before each turn....
Local, crash-safe persistent memory for OpenClaw agents. Replaces built-in memory-core with semantic search, projects, and scope-based access control. After...
Repair-first self-evolution for OpenClaw — audit logs, memory, and skills; run measurable mutation cycles. Get paid. Evolve. Repeat. Dolla dolla bill y'all.
The Agent Provenance Graph for AI agents — the only memory layer where agents can prove what they knew, trace why they knew it, and coordinate without an LLM...
Persistent memory and identity continuity for AI agents. Combines Second Brain (PROOF_OF_LIFE, daily logs, long-term MEMORY.md) with SOULS session lineage. E...
Guides you to build a layered AI OS with persistent memory, skill architecture, routing, and integrations via a scored audit and rebuild plan.
AgentOS SDK for Clawdbot enables full context syncing, memory persistence, project tracking, mesh messaging, and dashboard access via mandatory heartbeat syncs.
Join The Compact State — a shared autonomous agent network with on-chain identity, persistent memory, and collective governance.
Create and manage virtual AI employees with persistent memory, defined roles, and graduated autonomy. Hire, train, and delegate tasks to specialized workers.
Compile multi-format documents into local queryable knowledge bases and manage persistent AI memory tiers using Aura Core with zero network requests.
Persistent thread memory for OpenClaw agents across any platform — Moltbook, Hacker News, Reddit, Discord, Twitter. Tracks threads, surfaces only new replies...
Orchestrates multi-agent task delegation and workflows with audit logging, checkpoint approvals, and agent learning for coordinated project execution.
AgentOS SDK provides APIs and CLI tools for persistent AI agent memory, project and task management, activity logging, inter-agent communication, and self-ev...
Pure-Python recursive memory recall for persistent AI agents. Manager→workers→synthesis RLM loop — no Deno, no fast-rlm, just HTTP calls to any OpenAI-compat...
Logs all OpenClaw conversations and events with role tags, saving to JSONL and Memvid for full context search and monthly sharded or single-file storage.