Running summaries of the areas the reviewed repos fall into: the main approaches, what each repo added, and the gaps.
Running summaries of the areas the reviewed repos fall into: the main approaches, what each repo added, and the gaps.
Installable skill packs, plugins and working methods that change how a coding agent works. The approaches differ in what they package: a loose set of skills, domain taste, a fixed development process, or prompts for structured thinking.
Main approaches: Skill collections, Domain skills, Development methodologies, Structured reasoning lenses
16 repos · updated Oct 26, 2026 · Read the theme →
Workspaces, IDEs and platforms where several coding or business agents, or agents and people, run side by side. The approaches differ in where the work lives: a desktop app with a Git worktree per task, a shared channel or repo, or a cloud reference platform.
Main approaches: Agent IDEs, Shared workspaces, Platforms on AWS
12 repos · updated Oct 27, 2026 · Read the theme →
Frameworks and reference stacks for building one agent: its loop, tools, state and runtime. The approaches differ in what they build on: a ready coding agent, an event log, plain conversation history, a per-task tuned harness, or a formal theory of composing components.
Main approaches: Harness frameworks, Composition research
10 repos · updated Oct 29, 2026 · Read the theme →
Libraries, stores and models that give agents memory or durable state across sessions. The approaches differ in where memory lives: a prompt and script, a storage backend, a context database, a trained model, or a normalized session record.
Main approaches: Memory prompts and scripts, Storage backends, Context databases, Context models, Session trajectories
10 repos · updated Oct 26, 2026 · Read the theme →
Languages, auditing tools, creative-coding libraries and personal utilities for people who make software and things. Approaches range from browser canvas libraries and web-page auditors to a new compiled language, a polyglot runtime, and small desktop and server tools.
Main approaches: Languages, Web auditing, Creative coding, Personal utilities, Hardware
10 repos · updated Oct 18, 2026 · Read the theme →
Benchmarks, leaderboards, and research environments that measure how well agents or models do defined work. Approaches range from domain task suites and harness comparisons to decision-model scoring and multi-agent simulations.
Main approaches: Harness benchmarks, Domain task benchmarks, Decision-model scoring, Research environments
8 repos · updated Oct 13, 2026 · Read the theme →
Software that stores, moves, encodes or produces data, from distributed key-value stores and object-storage databases to ELT connectors, protobuf codecs and synthetic document generators. The approaches differ in what they handle: data at rest, data in motion, data on the wire, or data made up on purpose.
Main approaches: Databases, Data movement, Encodings, Synthetic data
8 repos · updated Oct 27, 2026 · Read the theme →
Tools and samples for running models on your own hardware or in your own cloud account. The approaches differ in what you take on: scheduling GPU capacity, running a model server, using a packaged local app, or calling hosted models from cloud notebooks.
Main approaches: Compute schedulers, Model serving, Local AI apps, Cloud model samples
7 repos · updated Oct 26, 2026 · Read the theme →
Policy languages, sandboxes and security tooling that limit what an agent may do or check what it builds. Approaches range from static scanning pipelines and browser-level session binding to runtime policy engines that reason over an agent's action history.
Main approaches: Policy languages, Sandboxes, Security review tools
6 repos · updated Oct 13, 2026 · Read the theme →
MCP servers, CLIs, and discovery specs that give an agent a callable capability or let it find one across networks. Approaches split between domain-specific tool wrappers and the plumbing that connects agents to those tools.
Main approaches: MCP servers, Discovery protocols
4 repos · updated Oct 10, 2026 · Read the theme →
Small models that make one typed decision or classification instead of calling a full LLM. Approaches split between task-specific classifiers, general-purpose decision models, and ecosystem indexes around a single model.
Main approaches: Decision models, Ecosystems, Task-specific classifiers
3 repos · updated Oct 10, 2026 · Read the theme →