The local AI agent ecosystem

Anthropic's terminal-native coding agent. Tops SWE-bench Verified at 87.6% and SWE-bench Pro at 64.3% in 2026. Deep MCP integration, agentic file editing, and a $20/mo Pro tier are

Anysphere's AI-native IDE. Forks VS Code with Cursor Tab inline completion, agentic chat, and background agents. Best 'flow' for inline completion in 2026.

AI-driven development agent that completes engineering tasks end-to-end — branches, code, PRs. v1.6 added a Planning Mode that drafts a plan before executing. Local-LLM-friendly vi

Terminal-based AI pair programmer. Run in your project directory, describe a change, it edits files and creates meaningful git commits. Works with any LLM — local Ollama, Anthropic

VS Code extension agent — ~4M installs in 2026. Plan/Act mode, autonomous file edits with diff approval, terminal access. The leading open-source IDE agent.

Open-source VS Code and JetBrains assistant. Configurable autocomplete + chat + agent modes. Strong with local Ollama backends.

Open-source extensible AI agent now governed by the Agentic AI Foundation (AAIF) at the Linux Foundation. Started inside Block (formerly Square). 25+ provider support including Oll

Open-source AI dev-team extension for VS Code (1.55M installs, 23.8k GitHub stars). **Discontinued: all Roo Code products — Extension, Cloud, and Router — shut down on May 15, 2026

Personal AI agent with a local-first gateway architecture. Connects your local LLMs (Ollama, llama.cpp) to the messaging surfaces you already use — WhatsApp, Telegram, Slack, Disco

Anthropic's official desktop app for Claude. Native MCP server support means you can plug in local file access, GitHub, and custom tools. Distinct from the Claude Code CLI.

Document-oriented LLM frontend with workspaces. Connects to Ollama, LM Studio, OpenAI, Anthropic, etc. Strong document RAG.

Drop-in memory layer for LLM agents. Vector + graph memory variants (Mem0g) — the graph variant builds a directed labeled knowledge graph alongside the vector store, with conflict

Agent memory framework that models memory like an operating system. Main context = RAM, archival storage = disk; the agent itself decides when to page. Originally MemGPT, now Letta

Open protocol for LLM clients to talk to external tools and data sources. The 'USB-C for AI' that became the default in 2026 — supported by Anthropic, OpenAI, and Google DeepMind,

The default first-pull tool for local AI. One-line model installs (`ollama run llama3.1`), an OpenAI-compatible HTTP API, good defaults out of the box. Built on llama.cpp.

The bedrock of local LLM inference. Most other tools wrap or embed it. Maximum control, maximum platform support, sharpest learning curve.

High-throughput serving engine. PagedAttention, continuous batching, prefix caching. Production default for self-hosted LLM APIs at scale.

Polished desktop GUI for local LLMs. Built-in HuggingFace search, OpenAI-compatible local server, side-by-side conversations.

Decentralized peer-to-peer AI inference network. 2.7M+ CLI downloads, 2M+ active nodes globally as of April 2026. Three-tier model routing (local registry → DHT → gossip broadcast)