Open Source Research by Ry Walker

Compare 16 agent frameworks by execution model, state and recovery, approvals, language support, observability, licensing, and deployment responsibilities.

A comparison of 10 tools for agent memory and self-improvement — from memory layers like Mem0, Letta, Hindsight, and Cognee to evolving playbook systems like ACE, plus the research foundations driving the category.

Compare 44 Mac coding agent apps and terminal workspaces, including Claude, Codex, Copilot, Cursor, Air, Tembo, Emdash, Xirp, and cmux, by execution, agent portability, review, pricing, and team controls.

A comparison of 15 agentic skills methods, catalogs, and registries, with current workflow changes, licensing and portability limits, and adjacent execution platforms.

Compare 19 voice AI models, speech APIs, managed phone-agent platforms, and open frameworks by architecture, current pricing, deployment control, and task reliability.

Category analysis of 7 platforms that organize AI agents as employees in company structures — from Paperclip's 70k-star org chart orchestration to Edict's Tang Dynasty governance model. Covers the category's consolidation: who's growing, who's dormant, and who got reclassified.

Compare 17 AI coding assistants across terminal, IDE, and agent workflows: capabilities, permissions, licenses, current pricing, and practical evaluation criteria.

Compare 15 AI inference platforms by model access, custom GPUs, token billing, gateway controls, and operational tradeoffs.

Category analysis of 5 current AI QA agents and agentic testing platforms — Momentic, QA Wolf, Ranger, Spur, and Expect, with historical context on departed Octomind. From autonomous browser-testing suites to tools that verify coding-agent output.

A comparison of 13 managed coding platforms, supervisors, and autonomous workflows, including Tembo, Devin, Factory, Warren, Gastown, Optio, and Symphony.

Comparison of 19 autoresearch tools for program experiments, deep research, and scientific discovery: architecture, evaluation, access, costs, and limitations.

Compare 17 code intelligence tools for AI coding agents: repository graphs, symbol editing, semantic retrieval, licensing, and data handling.

A comparison of 9 tools that run containerized workloads with VM-level isolation: Firecracker, gVisor, Kata Containers, Cloud Hypervisor, Apple Containerization, libkrun, Edera, Hypeman, and Unikraft. The "containers aren't isolated enough" problem, solved.

Category analysis of 10 developer trust and supply chain security tools. Covers Vouch (contributor trust), git-ai (AI code provenance), Sigstore (artifact signing), SLSA (build provenance), in-toto (attestation), zizmor (CI auditing), Socket.dev (proactive detection), OpenSSF Scorecard (project scoring), and GUAC (knowledge graph).

Compare 16 selected foundation lab coding agents across local and cloud workflows, pricing, licensing, and security, including ZCode, IBM Bob, CodeBuddy, TRAE, and Qoder.

Comparison of 15 in-house coding-agent cases: architecture, verification, public availability, measured outcomes, and the practical build-versus-buy decision.

A comparison of 9 local sandbox tools for coding agents, covering OS policy, containers, microVMs, credentials, current releases, and built-in agent controls.

Compare 10 MCP integration platforms on authentication, tool discovery, deployment, governance, and pricing, with Tembo's role in engineering workflows.

Comparison of 16 minimalist Markdown and plain-text notes apps for Mac: storage, sync, pricing, agent access, availability, and practical migration tradeoffs.

Comparison of 45 personal-agent platforms and deployable projects: hosted assistants, device tools, self-operated gateways, costs, permissions, memory, and recovery.

Comparison of 11 SEO and GEO agent skills for Claude Code and AI coding agents — from GEO-first audit tools and deterministic rule engines to full marketing skill libraries. Covers citability scoring, AI crawler analysis, live citation checking, content optimization, and agency workflows.

Comparative analysis of 14 platforms for deploying shared AI agents across teams — covering product planning, data analysis, customer support, and operations. Coding-first platforms are covered separately.