| 10/06 | 8 |
Local-first personal AI with biologically inspired memory, a dream engine, and a P2P skills marketplace.
|
| 10/10 | 7 |
Provides shared context, memory, and task coordination for AI coding agents via a single Go binary with local SQLite and hybrid keyword/semantic search.
|
| 10/10 | 7 |
Biologically inspired memory layer for AI agents with decay, consolidation, and cross-tool portability.
|
| 10/10 | 7 |
Claude Code, Codex, OpenClaw, and other agents into a shared, encrypted workstation that enables cross-agent handoff, peer review, and nightly self-improvement.
|
| 10/04 | 7 |
A Git-native, domain-neutral persistent memory layer for AI agents using the Open Knowledge Format (OKF) v0.2 with fast local BM25 search and a built-in MCP server.
|
| 10/02 | 7 |
Three-line embeddable agent memory layer providing persistent memory and reducing token usage by about 90%.
|
| 09/30 | 7 |
Context and working-state wiki that ingests documents into personal or shared markdown knowledge and preserves agent handoffs across sessions, models, and machines via your own GitHub repo.
|
| 09/30 | 7 |
Git-native memory that provides deterministic, reviewable local recall for AI coding agents, with evidence and risk gates to prevent harmful memory changes.
|
| 09/22 | 7 |
Zero-dependency CLI memory layer that indexes Claude Code, Codex, and opencode session logs for fast search, agent recall, redaction, stats, and sync.
|
| 09/11 | 7 |
A repo-native, agent-agnostic persistent memory layer that captures durable project decisions as Markdown via a zero-dependency CLI.
|
| 10/11 | 6 |
Persistent memory, real-time messaging, and an evolution engine for AI agents with one-command self-hosting.
|
| 10/10 | 6 |
Self-hosted, typed memory server that shares agent decisions and context across multiple AI agents via MCP with provenance, history, and poisoning-aware storage.
|
| 10/03 | 6 |
LLM-supervised persistent memory for AI agents with graph-based recall, intent-aware retrieval, importance decay, and automatic deduplication.
|
| 10/01 | 6 |
Minimal, customisable knowledge base serving agent docs over SSH and MCP with identity-scoped access and governed, validated writes.
|
| 09/30 | 6 |
Inspectable, portable semantic memory layer for agents and applications, supporting portable capture, groundings, and correction-aware knowledge across SDK, CLI, MCP, adapters, and plugins.
|
| 09/27 | 6 |
Composable, view-based memory for DeepSeek Harness with pluggable sources and strategies and three-tier storage support.
|
| 10/02 | 5 |
Local agent-experience loop that learns from AI coding agent sessions, records retro experiments in a typed graph, and proposes repo-specific fixes for review.
|
| 09/12 | 5 |
Correction-first agent memory with an MCP server, SDK, and CLI, persisting structured corrections and measuring whether agents stop repeating mistakes across sessions.
|
| 10/11 | 4 |
Passively evolving enterprise world model that captures knowledge, rules, reasoning, and controlled execution over time.
|