Nous Research's Hermes Agent adds Tool Search to fix MCP context bloat using BM25 progressive schema disclosure.
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The open-source project adds local persistent memory to Hermes Agent through six layers, gated retrieval, and a wiki.
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Enterprises using the lightweight, open-source Flowise platform to power self-hosted AI workloads now have a new near-max-severity issue to worry about.
Researchers at Obsidian Security have detailed a one-click remote code execution (RCE) vulnerability affecting self-hosted Flowise deployments through its implementation of Model Context Protocol (MCP) stdio servers.
The problem is essentially a sandboxing failure of attacker-controlled MCP configurations, leading to server-side code execution.
“Post-auth RCE in Flowise can be triggered with a single click via a malicious chatflow import before any save or run,” the researchers said in a blog post. “The official patch relies on input validation that is trivially bypassed and fails to address the root cause.”
Flowise is commonly used to develop internal AI assistants, retrieval-augmented generation (RAG) applications, customer-facing chatbots, and autonomous agents connected to business systems.
The flaw does not affect Flowise Cloud, a
Base launches Base MCP, letting ChatGPT and Claude agents connect to Base Accounts for swaps, transfers, portfolios, and app access.
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OmniVoice Studio runs voice cloning, video dubbing, real-time dictation, and speaker diarization entirely on your own hardware. No API keys, no cloud account, and no subscription required. The project supports 646 languages for TTS and exposes an MCP server for integration with Claude, Cursor, or any MCP client.
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There’s no denying the excitement around Model Context Protocol (MCP), an open protocol for connecting AI assistants with external data, tools, and APIs. Since its debut by Anthropic in late 2024, thousands of MCP servers have emerged for devops, cloud, and beyond.
Now that developers have integrated MCP servers into applications, and they have been battle-tested, usage patterns are emerging. For instance, supplying better context for AI is the most commonly cited primary value of using MCP, according to Zuplo’s State of MCP report released in early 2026. The Zuplo report also found that 63% of MCP users adopt MCP servers for accessing data sources such as documentation or knowledge bases.
In software development, context engineering is the act of supplying AI coding agents with relevant data and capabilities to improve the accuracy and relevance of their outputs. It also involves optimizing the breadth of information to guide efficient processing. Such context can include coding style
Tencent has open-sourced TencentDB Agent Memory, a fully local memory system for AI agents released under the MIT license. The project pairs symbolic short-term memory, which offloads verbose tool logs into a compact Mermaid task canvas, with a 4-tier long-term memory pyramid (L0 Conversation → L1 Atom → L2 Scenario → L3 Persona). It ships as an OpenClaw plugin and a Hermes Docker image, runs on local SQLite + sqlite-vec by default, and uses hybrid BM25 + vector retrieval with RRF fusion. Tencent's own benchmarks report a 61.38% token reduction and 51.52% relative pass-rate gain on WideSearch with OpenClaw, alongside PersonaMem accuracy moving from 48% to 76%.
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Nous Research releases Contrastive Neuron Attribution (CNA), a method that identifies and ablates sparse MLP neuron circuits to steer LLM behavior — no sparse autoencoder training, no weight modification, and no degradation of general capability benchmarks.
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Perplexity has open-sourced Bumblebee, an internal security tool it uses to protect the developer systems behind its search product, Comet, and Computer. Bumblebee is a read-only inventory collector for macOS and Linux developer endpoints. It scans npm, PyPI, Go modules, MCP configs, editor extensions, and browser extensions — without invoking any package manager or running any code.
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