AI Lab / Experiments in public
A public laboratory for agents and automation.
04Entries in the log
Each entry records what was tried, how it is built, what happened and what is still unknown, including the parts that did not work. Experiments move from exploring to active to archived, and the notes stay.
How experiments are tracked
Early research. Questions outnumber answers.
Running and maintained. Notes are updated as it changes.
Concluded. Kept for the record, with what was learned.
Category
Status
Lab log
4 of 4 entries
- EXP-03
Hermes Agent deployment
Running Nous Research's open-source Hermes Agent as an always-on assistant on a small Ubuntu server, reachable from Telegram.
ActiveSampleAgent Infrastructure- Hermes Agent
- Ubuntu Server 24.04
- systemd
- EXP-02
Telegram AI agent workflows
Using Telegram as the interface for small AI workflows, with a webhook that answers fast and a worker that does the slow, retryable part.
ActiveSampleWorkflow Automation- Telegram Bot API
- Python
- SQLite
- EXP-04
Self-hosted AI memory systems
Comparing ways to give a self-hosted agent memory that lasts: short working context, distilled long-term facts, and retrieval that mixes keywords with vectors.
ExploringSampleSelf-hosted AI- SQLite
- Embeddings
- Python
- EXP-01
Autonomous agent loops
A bounded plan, act, check loop for autonomous agents, run inside throwaway containers with hard limits on steps, time and spend.
ArchivedSampleAI Agents- Python
- Docker
- LLM API