| name | recent-open-distributed-intelligence-research |
| description | Use when the user asks for recent, current, latest, or open-access research on distributed intelligence, agent-centric architectures, decentralized multi-agent systems, federated learning, distributed vector databases, agent interoperability protocols, or FLOSSI0ULLK-adjacent open knowledge commons. Always use this skill for "recent open distributed intelligence research" prompts, even if the user only names a seed report or asks for a quick update. |
Recent Open Distributed Intelligence Research
Use this skill to produce current, source-grounded research scans for work
adjacent to FLOSSI0ULLK's agent-centric, privacy-preserving, decentralized
knowledge commons architecture.
Workflow
- Establish the time window and evidence boundary.
- Default to the last 2-3 years unless the user specifies another window.
- Treat any repo-local seed report as a lead list, not current evidence.
- Use live source lookup for current claims, versions, releases, and "latest"
status.
- Prioritize primary sources.
- Papers: arXiv, OpenReview, conference pages, DOI/publisher pages.
- Projects: official docs, GitHub/GitLab repositories, release notes.
- Protocols: official specifications, standards pages, or maintainer docs.
- Cover the core lanes.
- Agent-centric substrates: Holochain, AD4M/ADAM, local-first/P2P runtimes.
- Decentralized multi-agent coordination: peer-to-peer LLM agents,
non-central orchestrators, emergent graph/topology methods, agent memory.
- Privacy-preserving learning: federated, decentralized, differential
privacy, secure aggregation, data-sovereignty systems.
- Distributed retrieval and memory: federated RAG, distributed vector
databases, knowledge graphs, semantic CRDTs.
- Open training and inference infrastructure: distributed RL/training,
permissionless compute, open model routing, verification protocols.
- Agent interoperability: MCP, A2A, AGNTCY/ACP, NANDA, and adjacent open
agent protocol work.
- Human-AI collective intelligence: deliberation, evaluation commons,
co-improvement, governance, and open knowledge commons.
- Apply FLOSSI0ULLK relevance filters.
- Mark whether each item supports symbolic-first validation, agent
sovereignty, anti-enclosure, privacy, provenance, or multi-agent consensus.
- Separate verified facts from architectural implications.
- Do not upgrade FLOSSI0ULLK truth status from external research alone.
- Report in a compact, actionable structure.
Output Format
Use this structure unless the user requests another format:
# Recent Open Distributed Intelligence Research
## Executive Summary
## High-Signal Findings
| Item | Source Type | Date | Openness | Why It Matters |
|---|---|---:|---|---|
## FLOSSI0ULLK Implications
## Watchlist / Verification Gaps
## Sources
Source Quality Rules
- Include links for every source used.
- Prefer primary sources over commentary.
- Flag unverified or secondary-only claims explicitly.
- For fast-moving tools and protocols, include the date checked.
- Do not cite raw intake files as current evidence unless the answer is about
historical intake provenance.
Repo Seed
If useful, use this raw intake as a seed list only:
FLOSS/docs/research/intake_raw/2026-05-22-root/reports/Recent Open Distributed Intelligence Research.md
