Research
AI Research Index
Open-source AI projects I’m tracking, grouped by area: local inference on owned hardware, multi-agent orchestration, coding agents, memory and reasoning, agent tooling, and agent sandboxes.
Local inference and edge serving 5
| Project | What it is | License | Stars | Links |
|---|---|---|---|---|
| Tenstorrent stackTenstorrent | The open software stack for our Tenstorrent QuietBox 2. tt-metal (TT-NN ops + TT-Metalium kernels) is the core, tt-forge is the MLIR compiler for PyTorch/JAX, tt-inference-server serves models with vLLM, and tt-studio is a web GUI to deploy and chat with models. Latest tt-metal: v0.81.1 (Oct 23, 2026). Latest tt-inference-server: v0.26.0 (Oct 30, 2026) , adding QuietBox 2 support for K2-Horizon-7B, Muse-Glimmer-30B, Kolibri-1-BF16, gemma-4-26B-A4B-it and granite-4.2-30b. | Apache-2.0 | 1.7k tt-metal, Oct 31, 2026 | tt-metalInference servertt-forgett-studioDocs |
| QB2 agentic coding guideTenstorrent | Tenstorrent's Oct 27, 2026 step-by-step: serve Qwen3.8-27B on a TT-QuietBox 2 with tt serve , then connect OpenCode from a Mac with tt launch . One box batches up to 8 agents, and code never leaves your network. | Guide (Apache-2.0 tooling) Caution DFlash2 drafter is CC BY-NC-ND (non-commercial) | n/a Blog post | GuideModelOpenCode docsQB2 docs |
| colibriJustVugg | Pure-C, zero-dependency engine that runs frontier MoE models on your own hardware by streaming experts from disk. | Apache-2.0 | 46.2k | GitHub |
| FreeTokenFlashML-org | Runs 290B+ frontier MoE models (DeepSeek-V4, Qwen3.6, GLM-5.2) on consumer RTX GPUs; OpenAI/Anthropic-compatible API so Claude Code and Codex can run locally. | Apache-2.0 | 14.9k | GitHubSitePaper |
| Project Mayamw00 | Runs 321B–748B MoE models (GLM-5.3-Flash, DeepSeek-V4.1-Flash, MiniMax-M3.1-Flash) on your own 1–16 GPUs by tiering experts across VRAM, RAM and NVMe; OpenAI/Anthropic-compatible API. | MIT Caution Optional DFlash2 drafter is non-commercial (CC BY-NC-ND) | 2.3k | GitHubModels |
LLM training 1
Open-weight models 3
| Project | What it is | License | Stars | Links |
|---|---|---|---|---|
| DeepSeekDeepSeek | Frontier MoE models with open weights. Latest Flash is about 763B params with 1M context and native vision; V4-Pro-0813 is the flagship. | MIT | DeepSeek-V4.1-Flash-1017 Oct 17, 2026 | Hugging FaceLatest modelChangelog |
| Liquid AI LFMLiquid AI | Hybrid, on-device foundation models. LFM3 is six ~2B models for text, vision, audio, omni and decisions on one backbone. Also LFM2.5-24B-A2B (Oct 13, 2026): a 24B MoE with 2B active for on-device agents. | LFM Open License v1.0 Caution Commercial use free only under $10M annual revenue | LFM3 Oct 27, 2026 | Hugging FaceLFM3Docs |
| GLMZ.ai / Zhipu | Top open-weight coding models. GLM-5.3 is a 744B MoE with 40B active and 1M context. GLM-5.3-Flash (Aug 26, 2026) is a 320B MoE with 18B active plus vision, under MIT. | GLM-5.3 License Caution Custom; Flash is MIT. Model-as-a-service providers over $10B revenue need Z.ai review | GLM-5.3 Weights Aug 28, 2026 | Hugging FaceGLM-5.3GLM-5.3-FlashRelease notes |
Multi-agent orchestration 7
| Project | What it is | License | Stars | Links |
|---|---|---|---|---|
| DeepSeek Super-agentdsh-superagent | One always-on agent across chat, GitHub and email. A filter screens events, a small, fast Router talks to people and hands out tasks, and isolated Workers each own one task, with the strongest model on the hard ones. Long jobs run async; a Watchdog catches stuck workers. In DeepSeek's simulation, p95 tasks finished in 15.7 min vs about 29 min for one session, at 2 to 4x the tokens. | MIT Research prototype for DeepSeek Harness, not a product | 7.0k Nov 1, 2026 | GitHubArticleHarness |
| AgentBatonNVIDIA (paper) | Learns when to hand a long agent task from a capable model to a cheaper one, once. Cuts API cost 65.9% on average across 11 model pairs while largely keeping accuracy. | CC BY 4.0 (paper) Caution Paper only, no code yet | n/a Paper | PaperPDFSummary |
| CAMEL | Multi-agent framework researching the scaling laws of agents. | Apache-2.0 | 18.0k | GitHubDocs |
| MetaGPT | Multi-agent "AI software company" turning natural language into software. | MIT | 71.1k | GitHubSite |
| Atomic Agents | Lightweight, modular building blocks for agents. | MIT | 6.3k | GitHubDocs |
| GPTSwarm | Self-improving agent graphs via RL and prompt optimization. | MIT | 1.1k | GitHubSite |
| BurrApache | Build, trace, and persist decision-making apps and agents on your own infra. | Apache-2.0 | 2.6k | GitHubSite |
Coding agents 3
Memory and reasoning 7
| Project | What it is | License | Stars | Links |
|---|---|---|---|---|
| auto-ontologyNVIDIA | Python framework for semantic, graph-based reasoning layers over data: deterministic query generation and better context retrieval for LLM agents. | Apache-2.0 | 3.8k | GitHub |
| claude-memthedotmack | Persistent cross-session memory for coding agents: captures tool use, compresses it, and injects relevant context into later sessions (Claude Code, Codex, OpenCode, Gemini, Copilot). | Apache-2.0 | 107.4k | GitHubSite |
| DSPyStanford NLP | Programming, not prompting, language models. | MIT | 38.9k | GitHubSite |
| Mem0 | Drop-in persistent memory layer for agents. | Apache-2.0 | 68.2k | GitHubSite |
| LettaFormerly MemGPT | Stateful agents with long-term memory that self-improve. | Apache-2.0 | 25.3k | GitHubDocs |
| STORMStanford OVAL | Researches a topic and writes a full cited report. | MIT | 31.8k | GitHubDemo |
| H-NetCartesia | Tokenizer-free, byte-level architecture. A learned dynamic-chunking step replaces BPE tokenization inside the model, and stages can nest (bytes into words into phrases). Cartesia's Oct 28 posts claim a two-stage H-Net matches SmolLM3-3B with about 10x less compute and data; a Hugging Face Transformers PR adding it opened Oct 30. | MIT | 917 | GitHubPaperBlogModels |
Tools and observability 10
| Project | What it is | License | Stars | Links |
|---|---|---|---|---|
| TrajectoryDatadog Labs | Observability for AI coding agents: captures sessions from Claude Code, Codex, Cursor and about 20 more via hooks into local timelines, token and cost metrics, and YAML Markers (retries, force-pushes). Datadog LLM Observability export is optional and off by default. | Apache-2.0 | 42 | GitHubDocs |
| Unified Harness Protocol (UHP)HarnessRouter | Open draft standard for driving complete agent harnesses (Codex, Claude Code, Hermes, DeepSeek Harness, Gemini CLI) through one HTTP contract: tasks, streaming, sessions, files, cancellation. Shaped like the OpenAI Responses API, with a 104-check conformance suite. HarnessRouter is the self-hosted reference server. | Apache-2.0 | 4.1k | GitHubSpecSite |
| harness-evalashishpatel26 | Did a harness change (AGENTS.md, skills, MCP, hooks) make a coding agent better or worse? Paired, repeated, isolated runs with per-task deltas, bootstrap CI, an A/A noise floor, and CI exit codes. Claude Code, Codex or Ollama. | None stated (Caution) | 3 | GitHub |
| agent-desktopVercel Labs | Rust computer-use for agents via OS accessibility trees, with stable refs and retry-safe actions. | Apache-2.0 | 8.0k | GitHub |
| OpenBotCopilotKit | Open-source AI coworkers, each with its own computer (browser, files, tools). Every action is approved before and logged after. Works with any AG-UI agent. | MIT | 9.2k | GitHub |
| Worktrunkmax-sixty | CLI that makes git worktrees as easy as branches, so you can run many coding agents (Claude Code, Codex) in parallel; adds hooks, LLM commit messages, one-command merge and shared build caches. | MIT OR Apache-2.0 | 10.0k stars (Nov 2, 2026) | GitHubDocs |
| Lightpandalightpanda-io | Headless browser built from scratch in Zig for AI agents; Puppeteer/Playwright via CDP, native MCP server, ~16x less memory than headless Chrome. | AGPL-3.0 Caution | 39.0k | GitHubSite |
| Skyvern | AI browser workflow automation. | AGPL-3.0 Caution | 23.3k | GitHubSite |
| AgentOps | Agent monitoring, LLM cost tracking, benchmarking. | MIT | 5.9k | GitHubSite |
| Composio | 1,000+ toolkits with auth and a sandbox so agents can take action. | MIT | 30.8k | GitHubDocs |
Agent sandboxes 13
| Project | What it is | License | Stars | Links |
|---|---|---|---|---|
| Not All Agent Sandboxes Are Created EquallyChristian Posta, kagent.dev | Compares agent sandboxes on four axes: boundary and access controls, environment, lifecycle, and interface and experience. Advice: start with where the agent loop runs. First post in a series, with one follow-up per project. | Blog post | n/a | Article |
| Google AXGoogle | Agent Executor: Google's open agentic orchestration runtime, which runs agent tasks on Agent Substrate. | Apache-2.0 | 14.5k | GitHub |
| Agent Substrateagent-substrate | Kubernetes-based core for agent sandboxes. It suspends and wakes idle agents, and egress is denied by default. | Apache-2.0 | 6.1k | GitHub |
| nononolabs-ai | Single binary that applies kernel-level restrictions to an agent, with an optional egress proxy. | Apache-2.0 | 4.8k | GitHub |
| kagentSolo.io / CNCF | Kubernetes-native agent framework (CNCF sandbox project); publisher of the sandbox series. | Apache-2.0 | 4.1k | GitHubSite |
| DefenseClawCisco AI Defense | Security governance layer for agentic AI, built on NVIDIA OpenShell. | Apache-2.0 | 904 | GitHub |
| Minimalgominimal | Runs an agent in a Minimal box: sandboxed sessions built from its own package registry, on your own computer. | Apache-2.0 | 237 | GitHub |
| Discoboxdiscobox-ai | Coding-agent sandboxes: a dev box per agent on a copy of the repo (discobox apply). | Apache-2.0 | 107 | GitHub |
| Substrate envagent-substrate | Agentic environment abstraction: a shell, file and MCP API on Agent Substrate. | Apache-2.0 | 71 | GitHub |
| Docker SandboxesDocker | A microVM per coding agent, each with its own Docker daemon. | Docker product | n/a | Docs |
| OpenShellNVIDIA | Policy-governed sandbox runtime for agent fleets. Declarative YAML policies enforced outside the agent: kernel-level file, syscall and network controls, egress proxy, credential brokering, and a formal policy prover. Runs Claude Code, Codex, OpenCode and Copilot CLI on Docker, Podman, microVM or Kubernetes. | Apache-2.0 | 20.8k | GitHubDocs |
| E2B | Secure cloud sandboxes for agents to run code. | Apache-2.0 | 14.6k | GitHubDocs |
| SPACEPerplexity | Firecracker microVM sandbox behind Perplexity Computer: one VM per agent task, with credentials and network egress controlled outside the VM. E2B-compatible. | Apache-2.0 | 2.0k | GitHubDocsAnnouncement |
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