This survey examines the evolution of LLM-driven intelligent agents, proposing brain-inspired modular architectures that integrate cognitive science with computational research to achieve advanced reasoning and perception.
* **Modular Cognitive Frameworks:** Mapping human functions—such as memory, world modeling, goals, and emotion—onto structured AI modules.
* **Autonomous Self-Enhancement:** Enabling adaptive evolution through continuous learning and automated optimization in dynamic environments.
* **Collective Multi-Agent Systems:** Exploring emergent social dynamics and collective intelligence within collaborative agent networks.
* **Trustworthy & Secure Deployment:** Addressing the critical need for ethical alignment, robustness, and security to ensure safe real-world use.
* **Modular Cognitive Frameworks:** Mapping human functions—such as memory, world modeling, goals, and emotion—onto structured AI modules.
* **Autonomous Self-Enhancement:** Enabling adaptive evolution through continuous learning and automated optimization in dynamic environments.
* **Collective Multi-Agent Systems:** Exploring emergent social dynamics and collective intelligence within collaborative agent networks.
* **Trustworthy & Secure Deployment:** Addressing the critical need for ethical alignment, robustness, and security to ensure safe real-world use.
Nous Research has bundled Bot Mode as default in Hermes Agent v0.20.3 for Hermes Desktop, replacing the single-agent session list with a roster of named bots that each have their own chat, memory, skills and pinned model for multi-agent workflows on the desktop.
Key technical details:
* Standalone repo archived; active development continues in-tree at `apps/desktop/src/plugins/hermes-bots/`, first shipped as a one-day public beta plugin by co-founder Teknium
* Bots are stored as isolated profiles under `~/.hermes/profiles//` with own config, memory, skills, credentials and history; managed via existing `profiles.*` gateway RPCs `list, create, describe, configure`
* Avatars generated via the `image.generate` RPC; options include geometric faces in seven shapes/ten colors or uploaded/generated portraits/pixel pets
* Routines are ordinary Hermes cron jobs namespaced ` bot: » `; bot-to-bot messaging uses a persistent Agent Inbox with CLI handoffs e.g. `hermes -p chat -c "Agent Inbox" -q "..."` and `@mention` handoffs
* Per-bot config via New Agent dialog supports cloning a profile, pinning provider/model, custom SOUL.md and skills; duplicates clone config, skills, SOUL.md, memory and appearance
* Bundled version adds Groups for roster sections synced across machines, Group chats for 2-6 bots with up to three serial rounds, and a multi-source roster pulling bots from every connection under Settings → Connections
Key technical details:
* Standalone repo archived; active development continues in-tree at `apps/desktop/src/plugins/hermes-bots/`, first shipped as a one-day public beta plugin by co-founder Teknium
* Bots are stored as isolated profiles under `~/.hermes/profiles//` with own config, memory, skills, credentials and history; managed via existing `profiles.*` gateway RPCs `list, create, describe, configure`
* Avatars generated via the `image.generate` RPC; options include geometric faces in seven shapes/ten colors or uploaded/generated portraits/pixel pets
* Routines are ordinary Hermes cron jobs namespaced ` bot: » `; bot-to-bot messaging uses a persistent Agent Inbox with CLI handoffs e.g. `hermes -p chat -c "Agent Inbox" -q "..."` and `@mention` handoffs
* Per-bot config via New Agent dialog supports cloning a profile, pinning provider/model, custom SOUL.md and skills; duplicates clone config, skills, SOUL.md, memory and appearance
* Bundled version adds Groups for roster sections synced across machines, Group chats for 2-6 bots with up to three serial rounds, and a multi-source roster pulling bots from every connection under Settings → Connections
Ground Station is an open-source, browser-based application for tracking satellites and celestial targets, controlling station hardware, and receiving, decoding, and recording SDR signals. Built for amateur radio operators, satellite enthusiasts, and researchers, it brings orbit visualization, multi-target tracking consoles, SDR waterfall analysis, packet and telemetry decoding, scheduled observations, and hardware management into a single web interface.
- Supports RTL-SDR, SoapySDR, UHD/USRP and virtual SigMF playback SDR
- Automated observations scheduled via APScheduler for AOS/LOS pass recording with rotator and Doppler rig control
- Frontend uses React, Redux Toolkit and Material-UI; backend uses FastAPI, Skyfield/SGP4 and Socket.IO
- Supports RTL-SDR, SoapySDR, UHD/USRP and virtual SigMF playback SDR
- Automated observations scheduled via APScheduler for AOS/LOS pass recording with rotator and Doppler rig control
- Frontend uses React, Redux Toolkit and Material-UI; backend uses FastAPI, Skyfield/SGP4 and Socket.IO
Jeremy Howard published the first revision of llms.txt on August 10, the first update since the format launched in 2024. The spec is widely adopted and remains open for feedback on GitHub.
* Formalizes link relations so coding agents can discover Markdown versions of pages
* Keeps original `.md` filename pattern + adds a second extension-replacement pattern
* `rel="alternate" type="text/markdown"` → Markdown version of the page
* `rel="describedby"` → points to the llms.txt file
* Expressible via HTML `` elements or an HTTP Link header
* Target is coding agents / documentation tools, not search visibility
* Formalizes link relations so coding agents can discover Markdown versions of pages
* Keeps original `.md` filename pattern + adds a second extension-replacement pattern
* `rel="alternate" type="text/markdown"` → Markdown version of the page
* `rel="describedby"` → points to the llms.txt file
* Expressible via HTML `` elements or an HTTP Link header
* Target is coding agents / documentation tools, not search visibility
Fenix Guthrie writes that Chris Staecker restored a remarkably well-preserved Digi-Comp 1, the 1963 programmable educational toy computer introduced by E.S.R. The device uses mechanical logic gates programmed with soda-straw-like tubes on sliding rails and spring-loaded levers actuated by a clock switch to compute simple binary functions as a non-Turing-complete state machine reflective of early 1960s computing.
- E.S.R. originally intended to make actual computers before becoming a premier educational toy company in the 1960s
- Staecker'''s restoration used rubber bands and 3D-printed parts to return the toy to working condition
- The machine has 88 states, equivalent to 16,777,216 possible configurations
- Article references successor Digi-Comp II and other vintage ''"sort of''" computers like Geniac
- E.S.R. originally intended to make actual computers before becoming a premier educational toy company in the 1960s
- Staecker'''s restoration used rubber bands and 3D-printed parts to return the toy to working condition
- The machine has 88 states, equivalent to 16,777,216 possible configurations
- Article references successor Digi-Comp II and other vintage ''"sort of''" computers like Geniac
The repository provides an open-source SSH server that turns a standard terminal SSH connection into an interactive chat interface for large language models, letting users connect with `ssh user@host` and converse via a React Ink TUI backed by Node.js and ssh2, with optional PostgreSQL/PGLite and Redis persistence.
- Default public demo is advertised at chat.agi.li
- Recommended deployment is Docker via ghcr.io/miantiao-me/ssh-ai-chat with docker-compose
- Configurable public/private mode, whitelist/blacklist, rate limiting and OpenAI-compatible model configs
- Licensed under AGPL-3.0, ~849 stars, sponsored by V.PS
- Default public demo is advertised at chat.agi.li
- Recommended deployment is Docker via ghcr.io/miantiao-me/ssh-ai-chat with docker-compose
- Configurable public/private mode, whitelist/blacklist, rate limiting and OpenAI-compatible model configs
- Licensed under AGPL-3.0, ~849 stars, sponsored by V.PS
Google's research shows that LLMs experience difficulty recalling facts when questions reverse the usual subject/object entity order.
Serdar Yegulalp writes that he tested PrismML'''s Bonsai 27B 1-bit quantized model locally on an RTX 5060 with LM Studio, finding it compact enough for a smartphone but slower than smaller models due to its 27 billion parameters. Despite modest token-per-second speeds, the model delivers strong reasoning and coding quality when thinking is enabled, making it a good trade-off for users prioritizing small footprint and large context over speed.
- 1-bit quantized version is 3.9 GB versus 54 GB original
- Maximum context window is 262,144 tokens; test used 32,767
- Supports speculative decoding and flash attention with open Apache 2.0 weights
- Speculative decoding not usable on 8GB VRAM due to draft model requirement
- Tokenization of code examples took up to two minutes, max output ~40 tokens/sec
- 1-bit quantized version is 3.9 GB versus 54 GB original
- Maximum context window is 262,144 tokens; test used 32,767
- Supports speculative decoding and flash attention with open Apache 2.0 weights
- Speculative decoding not usable on 8GB VRAM due to draft model requirement
- Tokenization of code examples took up to two minutes, max output ~40 tokens/sec
Michael Kozlowski writes that a long-standing workaround for extending Libby/OverDrive loans on Kindle by enabling Airplane Mode no longer works after a recent software update, with expired library books now closing when the device reconnects to Amazon. The exploit is broken on Kindle Paperwhite 11th and 12th generations, Colorsoft Signature Edition and devices on firmware 5.19.5, while older firmware 5.19.2 and below may still allow it, though results vary.
- Reddit thread r/kindle shows dozens of hardcore users confirming the loss of the exploit
- Executives at Amazon and OverDrive reportedly tried for years to stop the airplane mode loan extension
- No official comment has been made and Libby or Amazon library lending pages have not been updated
- Reddit thread r/kindle shows dozens of hardcore users confirming the loss of the exploit
- Executives at Amazon and OverDrive reportedly tried for years to stop the airplane mode loan extension
- No official comment has been made and Libby or Amazon library lending pages have not been updated
