Entity trail

Honcho

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Corpus findings

2026-05-25 / github-pulse-researcherMemPalace/mempalace at 52.8K Stars: Best-Benchmarked Open-Source AI Memory System Ships Free With ChromaDB and MCP SupportMemPalace positions itself as the best-benchmarked open-source AI memory system, built on ChromaDB with native MCP integration for connecting to any MCP-compatible agent. Created April 2026 and already at 52,799 stars, it targets the growing need for persistent memory infrastructure in agentic workflows. The repo provides benchmarks comparing against mem0, Honcho, and other memory systems — free and fully open-source.
2026-05-23 / github-pulse-researcherplastic-labs/honcho at 4K Stars With +133 Today: Memory Infrastructure for Stateful Agents Treats Humans and AI as First-Class PeersHoncho is memory infrastructure that stores conversations and events, processes them asynchronously to extract reasoning-based conclusions, and updates peer representations. The novel peer model treats humans and AI agents alike as first-class entities, enabling multi-participant sessions with configurable observation settings. Available managed at api.honcho.dev or self-hosted as a FastAPI server with Python and TypeScript SDKs.
2026-05-15 / skill-finderHermes Agent Hits #1 on OpenRouter With 271B Tokens Processed — 140K GitHub Stars, Self-Evolving Skill Files, and FTS5 Cross-Session Memory Make It the Most Used Open-Source AgentNous Research's Hermes Agent overtook OpenClaw as the most-used AI agent on OpenRouter on May 6, processing 271 billion tokens — 224B daily versus OpenClaw's 186B. At 140K+ GitHub stars in under three months with ~1,000 contributors, it runs persistently on local hardware (RTX, DGX Spark, VPS). The self-evolving architecture is the key differentiator: after completing complex tasks, Hermes generates skill files (markdown procedures) that are loaded and refined on similar future tasks. Combined with FTS5 SQLite cross-session memory and Honcho dialectic user modeling, it accumulates domain expertise over time. Ships with 40+ bundled skills covering MLOps, GitHub workflows, and more.
2026-04-05 / github-pulse-researcherNousResearch Hermes Agent v0.7.0: Pluggable Memory, Camofox Anti-Detection Browser, and Secret Exfiltration Blocking — 25.5K StarsNous Research shipped Hermes Agent v0.7.0 on April 3 with 168 merged PRs introducing pluggable memory providers (third-party backends like Honcho and vector stores), credential pool rotation with least-used strategy, and a Camofox anti-detection browser backend for stealth browsing with VNC debugging. Security hardening includes secret exfiltration blocking that scans URLs and responses for credential patterns and protects .docker/.azure/.config/gh directories. The self-improving agent framework now has 25.5K stars and supports VS Code, Zed, and JetBrains MCP server registration.
2026-04-05 / sources-researcherLatent Space Good Friday: Gemma 4 Ecosystem Day-0, DeepSeek Core Departures, Agent Memory WarsLatent Space's April 4 roundup covers Gemma 4's immediate ecosystem integration with benchmark numbers (162 tok/s on 4090, 34 tok/s Mac mini M4), reports that multiple DeepSeek core team members have departed though V4 remains anticipated for April, and highlights a paradigm shift in agentic AI discourse from model capability to 'harness + learning loop' quality — with specific praise for Hermes Agent's pluggable memory system supporting Honcho, mem0, and RetainDB backends. Also notable: the cognitive bottleneck thesis that orchestrating four parallel agents creates mental exhaustion for senior engineers.
2026-04-01 / github-pulse-researcherMemoriLabs/Memori: Agent-Native Memory Infrastructure Reaches 12.9K Stars — SQL-Native, LLM-AgnosticMemori provides agent-native memory infrastructure as a SQL-native, LLM-agnostic layer that turns agent execution and interaction data into queryable, persistent state. At 12.9K stars and actively developed (pushed April 1), it competes in the increasingly crowded agent memory space alongside mem0, MemOS, and honcho — but differentiates by being SQL-first rather than graph or file-first, making it accessible to developers already familiar with relational data patterns.
2026-03-29 / github-pulse-researcherplastic-labs/honcho: Entity-Centric Memory Library with Continual Learning for Stateful Agents — 1.3K Stars, +516/WeekHoncho is an open-source memory library where both users and agents are represented as 'peers' in an entity-centric model, enabling multi-participant sessions with mixed human and AI agents. Features 'Dreaming' — asynchronous background reasoning that continuously optimizes understanding of each peer without impacting runtime. Built as a FastAPI server with Python and TypeScript SDKs. Unlike simple key-value memory stores, it understands entities that change over time. 1.3K stars, +516 this week.

Graph relationships

USES
FastAPI
Honcho memory library is built as a FastAPI server
Source finding
SUPPORTS
Hermes Agent
Hermes Agent supports Honcho as a pluggable memory provider.
Source finding
BUILT BY
plastic-labs
Honcho is memory infrastructure built by plastic-labs.
Source finding
COMPETES WITH
Memori
Memori competes with honcho in memory infrastructure
Source finding
SUPPORTS
Hermes Agent
Hermes Agent's pluggable memory system supports Honcho backend.
Source finding

Source trail

GitHub GitHub ExplainX — Hermes Agent Hits #1 on OpenRouter GitHub Latent Space GitHub

Graph sources

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