Topics / #context-engineering

Context-engineering projects on GitHub

Managing what context goes into a model window so agents perform reliably.

As of , the most-starred Context-engineering projects on GitHub are JavaGuide (159.1K stars), ragflow (92.4K stars) and deer-flow (84K stars). GitHub.Locker tracks 99 Context-engineering repositories with 1.6M stars combined. The fastest-growing on October 16 was xerj, with +1.2K stars in a day.

99Projects
1.6MStars in total
+4.2KStars in a day
Browse in the catalog →github.com/topics/context-engineering ↗

Hot right now

Most stars gained in a day · Oct 16

+1.2K

xerj

xerj-org/xerj · ★ 6.9K

XERJ is a local-first search engine that automatically indexes any folder - code, docs, logs, PDFs - so an AI coding agent can pull the exact passage it needs instead of grepping or reading whole files into context, and it speaks the Elasticsearch API so existing clients work against it unchanged.

+432

context-mode

mksglu/context-mode · ★ 30.3K

Context Mode is an MCP server plus hooks that keeps bulky tool output out of your AI coding agent's context window (98% reduction), persists session memory, and enforces tool routing across 17 platforms.

+383

Orbital

zqiren/Orbital · ★ 904

Orbital is a local project agent: it keeps your project's state, decisions and history as plain files inside the project folder, so any coding agent — Claude Code, Codex, Cursor — picks up where the last one stopped without re-explaining anything.

+178

Trail-Code

trailhq/Trail-Code · ★ 10.3K

Graft maps your codebase into linked markdown files — one node per system, API, or concept — and feeds the matching nodes to coding agents like Claude Code, Cursor, Codex, and Gemini, so they stop re-exploring the repo on every task and run faster, cheaper, and more accurately.

The all-time top

99 projects · by stars

  1. #1 · Snailclimb/JavaGuide

    JavaGuide

    JavaGuide is a free, open-source guide to Java and backend interviews: a collection of study notes and Q&A summaries covering Java core, computer science fundamentals, databases, and system design.

    159.1K
  2. #2 · infiniflow/ragflow

    ragflow

    RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that combines RAG with Agent capabilities to build a context layer for LLMs, turning complex enterprise data into production-ready AI systems.

    92.4K
  3. #3 · bytedance/deer-flow

    deer-flow

    DeerFlow is an open-source long-horizon super-agent harness from ByteDance that researches, codes, and creates by orchestrating sub-agents, memory, sandboxes and extensible skills, handling tasks that can take minutes to hours.

    84K
  1. 4

    hello-agents

    83.4Kdatawhalechina/hello-agents · Python

    Hello-Agents is Datawhale's free, open-source tutorial on building AI agent systems from scratch — theory and hands-on practice in equal measure, taking you from LLM user to agent builder.

  2. 5

    headroom

    75.5Kheadroomlabs-ai/headroom · Python

    Headroom compresses everything an AI agent reads - tool outputs, logs, RAG chunks, files, and conversation history - before it reaches the LLM, cutting tokens while keeping the same answers. It ships as a library, a local proxy, and an MCP server.

  3. 6

    OpenSpec

    72.2KFission-AI/OpenSpec · TypeScript

    OpenSpec is a spec-driven development tool that adds a lightweight spec layer so you and your AI coding assistant agree on requirements before any code is written.

  4. 7

    claude-code-best-practice

    67.7Kshanraisshan/claude-code-best-practice · HTML

    A curated reference and knowledge base documenting Claude Code's features and best practices, covering agents, commands, skills, workflows, hooks, MCP servers, and more, organized as linked tables rather than a single tutorial.

  5. 8

    get-shit-done

    64.3Kgsd-build/get-shit-done · JavaScript

    GSD (Get Shit Done) is a meta-prompting, context engineering and spec-driven development system built on top of Claude Code, created by TÂCHES.

  6. 9

    ai-agent-book

    54.6Kbojieli/ai-agent-book · Python

    An open-source book by Li Bojie taking AI agents from design principles to engineering practice, built on the formula Agent = LLM + context + tools; text, figures and labs all live in this repo.

  7. 10

    BMAD-METHOD

    54.2Kbmad-code-org/BMAD-METHOD · Python

    BMad Method is an open-source agile framework for AI-driven development: it turns an idea or change request into working software, covering planning and delivery, not just code generation.

  8. 11

    OpenViking

    40.1Kvolcengine/OpenViking · Python

    An open-source context database for AI agents: memories, resources, and skills live in one virtual filesystem under the viking:// protocol, so the agent browses its own context with ls, tree, and find instead of querying a black-box vector store.

  9. 12

    PageIndex

    39.2KVectifyAI/PageIndex · Python

    PageIndex is a vectorless, reasoning-based RAG (Retrieval-Augmented Generation) engine. Instead of a vector database and chunking, it builds a hierarchical tree index that mirrors a document's structure and lets an LLM reason its way through that tree to find relevant sections, the way a human expert flips to the right part of a report.

  10. 13

    book-to-skill

    35.1Kvirgiliojr94/book-to-skill · Python

    book-to-skill turns a technical book PDF (or a folder/glob of documents) into a structured 'skill' that coding agents like Claude Code, GitHub Copilot CLI, Amp, or Hermes Agent can load on demand to answer questions from the real content instead of hallucinating.

  11. 14

    cognee

    32.4Ktopoteretes/cognee · Python

    Cognee is an open-source AI memory platform that gives AI agents persistent long-term memory across sessions, turning text, code, and conversations into a queryable knowledge graph.

  12. 15

    code-review-graph

    32.2Ktirth8205/code-review-graph · Python

    A local-first code intelligence tool: it builds a persistent graph of your codebase so AI coding assistants read only the files that matter on review and large-repo tasks, instead of re-reading everything.

  13. 16

    supermemory

    31.3Ksupermemoryai/supermemory · TypeScript

    Supermemory is a memory and context engine for AI: it learns from your conversations, extracts facts and builds user profiles, so your AI remembers you between sessions instead of starting from zero.

  14. 17

    deepagents

    30.3Klangchain-ai/deepagents · Python

    Deep Agents is an open source, batteries-included agent harness from LangChain: an opinionated agent that runs out of the box with sub-agents, a filesystem, context management, and skills bundled in — and every piece can be extended, overridden, or replaced without forking.

  15. 18

    context-mode

    30.3Kmksglu/context-mode · TypeScript

    Context Mode is an MCP server plus hooks that keeps bulky tool output out of your AI coding agent's context window (98% reduction), persists session memory, and enforces tool routing across 17 platforms.

  16. 19

    planning-with-files

    27.5KOthmanAdi/planning-with-files · Python

    A skill for AI coding agents that keeps the plan on disk in three markdown files — taskplan.md, findings.md and progress.md — and re-injects it every turn, so it survives /clear, crashes and context compaction.

  17. 20

    haystack

    26.8Kdeepset-ai/haystack · Python

    An open-source AI orchestration framework for building production-ready LLM applications in Python: modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation.

  18. 21

    agentskills

    26.2Kagentskills/agentskills · Python

    An open format for giving AI agents new capabilities and expertise: a skill is a folder with a SKILL.md file of instructions, plus optional scripts, templates and reference materials.

  19. 22

    parlant

    18.3Kemcie-co/parlant · Python

    An open-source interaction control harness for building customer-facing AI agents that behave consistently, compliantly, and traceably — support, sales, onboarding — positioned as an open-source alternative to Ada, Decagon, or Sierra.

  20. 23

    Agent-Skills-for-Context-Engineering

    18.1Kmuratcankoylan/Agent-Skills-for-Context-Engineering · Python

    A curated collection of Agent Skills that teach context engineering, multi-agent architecture, and production agent system design, so an AI agent can load the right skill when it needs to manage context, memory, evaluation, or harness design.

  21. 24

    WrenAI

    17.9KCanner/WrenAI · Python

    Wren AI is an open-source generative BI (GenBI) engine: AI agents turn natural-language questions into governed SQL, charts, and deployable dashboards across 22+ data sources, grounded in a semantic layer they can trust.

  22. 25

    vibe-coding-cn

    17.6Ktradecatlabs/vibe-coding-cn · Makefile

    vibe-coding-cn is a Chinese-language tutorial that takes you from beginner to advanced in 'Vibe Coding' — a structured workflow for pairing with AI (Cursor, Claude Code, Codex, Gemini CLI) to turn an idea into a shipped product using Prompts, Skills, Context management and Quality Gates.

  23. 26

    DeepCode

    16.7KHKUDS/DeepCode · Python

    An open agentic coding platform from HKUDS: a multi-agent harness that turns natural language and even research papers into production-ready code, working directly in your repository.

  24. 27

    Figma-Context-MCP

    16KGLips/Figma-Context-MCP · TypeScript

    It's the Framelink MCP server: it gives AI coding agents like Cursor direct access to your Figma files, so they can implement designs from real layout and styling data in one shot.

  25. 28

    plandex

    15.7Kplandex-ai/plandex · Go

    Plandex is an open source AI coding agent that runs in the terminal. It plans and executes large coding tasks spanning many steps and dozens of files, built for real-world projects.

  26. 29

    Trellis

    15Kmindfold-ai/Trellis · TypeScript

    Trellis is an out-of-the-box engineering framework for AI coding. It persists specs, tasks, and project memory in your repo, so any coding agent works to your conventions instead of starting every session from scratch.

  27. 30

    semantica

    14.1Ksemantica-agi/semantica · Python

    Semantica is an open-source, graph-native infrastructure layer that ingests enterprise data and builds a structured Context Graph and knowledge graph with deterministic reasoning, ontology governance, and full decision provenance, so AI systems can be explained and audited instead of treated as black boxes.

  28. 31

    context-hub

    14Kandrewyng/context-hub · JavaScript

    Context Hub is an open hub of curated, versioned docs for coding agents plus a CLI called 'chub' that agents use to fetch them — built so agents stop hallucinating APIs and get smarter with every task.

  29. 32

    context-engineering-intro

    13.9Kcoleam00/context-engineering-intro · Python

    A comprehensive template for practicing context engineering: giving AI coding assistants like Claude Code the documentation, examples and rules they need to finish features end to end.

  30. 33

    claude-skills

    11.9KJeffallan/claude-skills · Python

    This is a collection of 67 specialized skills that extend Claude Code into an expert pair programmer for full-stack development, covering languages, frameworks, infrastructure, APIs, testing, DevOps, security, and data/ML.

  31. 34

    cocoindex

    11.7Kcocoindex-io/cocoindex · Rust

    CocoIndex is an incremental engine that turns codebases, meeting notes, inboxes, Slack, PDFs, and videos into live, continuously fresh context for AI agents and LLM apps, using minimal incremental processing instead of stale batch jobs.

  32. 35

    autoharness

    11.1Ktigerless-labs/autoharness · Python

    Autoharness is a self-learning skill layer plugin for Claude Code: it distills skills from your real coding sessions, merges or updates them as you keep working, and prunes the ones that stop getting used.

  33. 36

    spring-ai-alibaba

    11Kalibaba/spring-ai-alibaba · Java

    Spring AI Alibaba is a production-ready Java framework for building agentic, workflow, and multi-agent applications, built on top of Spring AI.

  34. 37

    AgentGuide

    11Kadongwanai/AgentGuide · MDX

    AgentGuide is a free, open-source Chinese-language knowledge base for AI Agent engineering and job hunting, modeled on JavaGuide. It stitches scattered courses, tutorials, papers and projects into one systematic path from beginner to a job offer.

  35. 38

    gsd-core

    10.6Kopen-gsd/gsd-core · JavaScript

    GSD Core is a light-weight context-engineering and spec-driven development framework that drives AI coding agents like Claude Code, Codex, and Cursor through a disciplined phase loop.

  36. 39

    Trail-Code

    10.3Ktrailhq/Trail-Code · TypeScript

    Graft maps your codebase into linked markdown files — one node per system, API, or concept — and feeds the matching nodes to coding agents like Claude Code, Cursor, Codex, and Gemini, so they stop re-exploring the repo on every task and run faster, cheaper, and more accurately.

  37. 40

    claude-code-infrastructure-showcase

    10Kdiet103/claude-code-infrastructure-showcase · TypeScript

    A curated reference library of production-tested Claude Code infrastructure — hooks, skills and agents extracted from 6 months of daily use on a real TypeScript microservices project. It fixes the problem that skills do not activate automatically and shows patterns that scale Claude Code for enterprise development.

  38. 41

    knowledge-catalog

    9.5KGoogleCloudPlatform/knowledge-catalog · TypeScript

    This is the samples and tools repository for Google Cloud's Knowledge Catalog, an AI-powered data catalog and metadata management platform (formerly called Dataplex) that builds a dynamic knowledge graph over structured and unstructured data to give AI agents semantic and business context.

  39. 42

    gsd-2

    7.8Kgsd-build/gsd-2 · TypeScript

    GSD 2 is a meta-prompting, context engineering and spec-driven development system that lets AI coding agents work autonomously for long periods without losing track of the big picture.

  40. 43

    fast-jev-compaction

    7.7Ktamaratran/fast-jev-compaction · TypeScript

    A Claude Code plugin, also usable as an npm library, that replaces context compaction's summary with Jev decisions: every tool call and result is scored in fast requests, stale ones are dropped or truncated, and everything kept stays verbatim.

  41. 44

    xerj

    6.9Kxerj-org/xerj · Rust

    XERJ is a local-first search engine that automatically indexes any folder - code, docs, logs, PDFs - so an AI coding agent can pull the exact passage it needs instead of grepping or reading whole files into context, and it speaks the Elasticsearch API so existing clients work against it unchanged.

  42. 45

    trueforge

    6.3Ktruefoundry/trueforge · TypeScript

    TrueForge is an open-source agent harness - the runtime layer that runs the full agent execution loop (model calls, MCP tools, skills, sandboxing, approvals, context management, session state) and exposes it via a chat UI, an HTTP API with a TypeScript SDK, and an embeddable UI SDK.

  43. 46

    harness-engineering

    6.1Kdeusyu/harness-engineering · JavaScript

    It's a Chinese-language deep-learning archive about 'Harness Engineering' — the OpenAI-coined engineering paradigm where engineers stop writing code directly and instead design constraints, feedback loops, and environments so AI agents can work reliably. The repo tracks the author's journey from reading the original essay to forming opinions, running experiments, and producing translated research.

  44. 47

    claude-token-efficient

    6.1Kdrona23/claude-token-efficient · Python

    A single CLAUDE.md instruction file that you drop into a project to make Claude Code's responses terser, cutting output tokens on heavy, repeated workflows.

  45. 48

    rlm

    5.7Kalexzhang13/rlm · Python

    RLM is an inference library implementing Recursive Language Models, a paradigm where an LLM offloads its context into a REPL environment and recursively calls itself (or sub-LLMs) to examine, decompose, and reason over near-infinite-length inputs.

  46. 49

    lossless-claw

    4.9KMartian-Engineering/lossless-claw · TypeScript

    Lossless Claw is a plugin for OpenClaw that replaces its sliding-window context compaction with a DAG-based summarization system, so every message is preserved while active context stays within the model's token limit.

  47. 50

    awesome-harness-engineering

    4.9Kai-boost/awesome-harness-engineering · Python

    A curated list of resources on 'harness engineering' — the discipline of designing the scaffolding (context delivery, tool interfaces, planning artifacts, verification loops, memory, sandboxes) around an AI agent that determines whether it succeeds on real tasks.

  48. 51

    everything-claude-code

    4.8KWorldFlowAI/everything-claude-code · JavaScript

    A complete collection of Claude Code configurations (agents, commands, skills, hooks, rules, and MCP configs) built and refined over 10+ months of real production use by an Anthropic hackathon winner.

  49. 52

    autoagent

    4.6Kthirdlayerinc/autoagent · Python

    AutoAgent lets an AI agent build and iterate on an agent harness (agent.py) autonomously overnight: it tweaks the system prompt, tools, config, and orchestration, scores each change against a benchmark, and keeps only the improvements.

  50. 53

    awesome-harness-engineering

    4.4Kwalkinglabs/awesome-harness-engineering

    A curated list of articles, playbooks, benchmarks, specifications, and open-source projects about harness engineering — shaping the environment around AI agents so they can work reliably.

  51. 54

    opencode-dynamic-context-pruning

    4.4KTarquinen/opencode-dynamic-context-pruning · TypeScript

    Dynamic Context Pruning (DCP) is a plugin for OpenCode that automatically cuts token usage by intelligently managing conversation context — compressing stale history into summaries, deduplicating repeated tool calls, and purging failed tool-call inputs.

  52. 55

    claude-code-book

    4.3Klintsinghua/claude-code-book · Python

    'Yu Yu: Decoding Agent Harness' (御舆:解码 Agent Harness) is a roughly 420,000-character Chinese technical book that reverse-engineers how Claude Code's Agent Harness works internally - the runtime driving the conversation loop, tool calls, permission checks, memory, context management and multi-agent orchestration.

  53. 56

    apm

    4Kmicrosoft/apm · Python

    APM (Agent Package Manager) is an open-source dependency manager for AI coding agents' context — like package.json or Cargo.toml, but for agent configuration such as instructions, skills, prompts, and MCP servers.

  54. 57

    Continuous-Claude-v3

    3.9Kparcadei/Continuous-Claude-v3 · Python

    Continuous Claude is a plugin/environment layered on top of Claude Code that adds persistent memory, context-efficient handoffs, and multi-agent orchestration so Claude keeps learning across sessions instead of losing context on compaction.

  55. 58

    lean-ctx

    3.9Kyvgude/lean-ctx · Rust

    LeanCTX is a 'Context Gateway' that runs locally alongside your AI coding agent, deciding what context the model actually sees, compressing it, and tracking the cost and outcome of that work.

  56. 59

    conductor

    3.8Kgemini-cli-extensions/conductor · Python

    Conductor is a plugin for AI coding agents such as Antigravity and Claude Code that enables Spec-Driven Development, turning the agent into a proactive project manager that follows a Context -> Spec & Plan -> Implement workflow for every feature or bug fix.

  57. 60

    dsh-anchored-standard

    3.8Kxiaobright/dsh-anchored-standard · JavaScript

    A set of experimental DeepSeek Harness (dsh) presets that anchor a session's reasoning trajectory on the official Minimal tool schema with no auto-injected context, then quietly promote to a small resident catalog that unlocks heavier Standard tools once the session is durable. It ships several variant modes (Zero-Anchored, Whoami, Prefab, Eternal Minimal, Wire Think-Execute, Combo Anchored) plus a reusable context-gate plugin for unified injection control.

  58. 61

    EverRoom

    3KNxcoreAI/EverRoom · TypeScript

    EverRoom is a local-first personal workspace that connects your files, conversations, meetings, and AI agents into project-based 'Context Rooms', so agents work from verified evidence and memory instead of a blank chat.

  59. 62

    advanced-context-engineering-for-coding-agents

    2.7Khumanlayer/advanced-context-engineering-for-coding-agents

    This repository holds a write-up from HumanLayer on 'context engineering' for AI coding agents: practical techniques for deciding what information to feed an agent like Claude Code so it produces better, more reliable code changes.

  60. 63

    dsh-context

    2.2Kbowenliang123/dsh-context · TypeScript

    dsh-context is a plugin for DeepSeek Harness (dsh) that gives full visibility into an AI agent's context window — a dashboard tab, a sidebar panel, and a /context slash command showing token stats, context composition, trends, compaction/prune events, file activity, and the agent family tree.

  61. 64

    OptMem

    2.2KVictorTaelin/OptMem · Python

    OptMem gives AI agents permanent memory across sessions: a tiny prompt plus a local script, so the agent can record and recall notes instead of forgetting everything between runs.

  62. 65

    AgentDock

    1.8KAgentDock/AgentDock · MDX

    AgentDock is a framework for building AI agents with configurable determinism, made of an open-source Node.js core library (AgentDock Core) and a Next.js reference client app. Note: the project has been retired by its maintainers - its prompt library moved to AgentDock/prompt-library and its companion book to AgentDock/ai-agents-book.

  63. 66

    ai-agent-handbook

    1.8Kaliyun/ai-agent-handbook · JavaScript

    An open-source Alibaba Cloud whitepaper (handbook) distilling hands-on experience building enterprise-grade AI agents across their full lifecycle: architecture, building, running, governance, and tuning. It is maintained as a living open project rather than a one-off release.

  64. 67

    aoci-code

    1.6Kaoci-spec/aoci-code · Go

    AOCI-CODE builds and maintains a persistent, Git-versioned index of your entire codebase (and optionally your database schema) so that coding agents like Claude Code, Codex, Cursor, and OpenCode can read a compact summary of the system before touching any code, instead of re-scanning the repo every task.

  65. 68

    billion-context

    1.5Kranxianglei/billion-context · TypeScript

    billion-context is a context-compression proxy that sits between any coding agent and its model API, rewriting Anthropic/OpenAI streams so a 100K context window is enough and a single session can run for months across billions of tokens.

  66. 69

    powercontext

    1.3Koceanbase/powercontext · Python

    PowerContext is a self-hosted context service from the OceanBase team. It keeps decisions, evidence, and task state together with the project, so you or another agent can pick the work up in a later session.

  67. 70

    reverify

    1.3K2akouwu/reverify · Python

    Reverify is a tool that stops AI agents from hallucinating facts by making a deterministic toolkit verify every claim the model makes against ground truth, with reverse engineering as the main proving ground.

  68. 71

    awesome-deepseek-harness

    1.2K0xsline/awesome-deepseek-harness · Python

    This is a curated, continuously updated catalog of plugins, tools, and infrastructure for the DeepSeek Harness (DSH) coding-agent ecosystem, pulled from the dsh-external/hub catalog and the public GitHub dsh-plugin topic.

  69. 72

    hermes-jev-skills

    1.1Kkerpopule/hermes-jev-skills · Python

    Hermes Jev Skills gives an AI agent a cheap, fast 'second brain' for small routine decisions (model routing, memory filtering, skill selection, turn compaction, computer/browser use) so the expensive frontier model only does the writing. The decisions are handled by Jev, TypeSafe's calibrated decision model.

  70. 73

    GLM-5.3-Flash-J-Space-Capability-Realization-Report

    1KTiger3807861189/GLM-5.3-Flash-J-Space-Capability-Realization-Report

    J-Space Cognition Suite is a model-agnostic inference-time control system for deep reasoning, long-horizon work, tool use, verification, and recovery, packaged as a Skill that loads into AI agent hosts.

  71. 74

    Orbital

    904zqiren/Orbital · Python

    Orbital is a local project agent: it keeps your project's state, decisions and history as plain files inside the project folder, so any coding agent — Claude Code, Codex, Cursor — picks up where the last one stopped without re-explaining anything.

  72. 75

    codeAgent

    812Harvil1/codeAgent · Python

    CodeAgent is an open-source AI coding assistant that lives in your terminal: you give it natural-language instructions and it reads your code, edits files, runs commands, searches for information, and finishes the task.

  73. 76

    Intent-Router

    763angel291592/Intent-Router · Python

    Intent-Router is an 'intent compiler' skill for AI coding agents: it turns a vague request into a typed IntentSpec contract by looking up what it can, asking only what a human must decide, or halting when the request is contradictory, ambiguous, or underspecified.

  74. 77

    context-language-models

    730facebookresearch/context-language-models · Python

    This is the official code release for 'Context Language Models (CLMs)', research from University of Washington, Meta Superintelligence Labs, MIT and Trillium Labs. CLMs are language models that natively manage their own context by treating it as a file they can freely edit, which naturally extends to multi-agent setups where each agent's context is its own file.

  75. 78

    ai-system-design

    672amitshekhariitbhu/ai-system-design · Markdown

    A free, open-source guide that teaches AI System Design step by step: how to combine GPUs, inference servers, caches, vector databases, AI agents, guardrails, and evals into one system that is fast, cheap, reliable, and safe.

  76. 79

    Athena-Public

    615winstonkoh87/Athena-Public · Python

    Athena is a local-first memory layer for AI coding agents: it stores your working context as plain Markdown files on your own disk so any model or IDE can pick up where the last one left off.

  77. 80

    memcode

    603memcode-in/memcode · TypeScript

    MemCode is memory infrastructure for AI: it gives agents, copilots, applications and workflows persistent memory that survives sessions, context windows, and even model changes.

  78. 81

    Baize

    557Xu123-Bob/Baize · JavaScript

    Baize is an open-source AI coding agent CLI that acts as a drop-in alternative to Claude Code CLI, letting you describe tasks in natural language while it writes, edits, and runs code for you.

  79. 82

    mintocode

    490Spearmintai/mintocode · Python

    mic compiles your codebase once into agent-facing 'cards' (what each function does, its gotchas, its callers, its tests), so that Claude Code, Codex or any MCP agent only reads the few paragraphs relevant to a question instead of exploring the whole repo.

  80. 83

    operator-memory

    461aerovato/operator-memory · TypeScript

    Operator Memory is a self-improving context engine that gives coding agents a persistent brain: as the agent works it automatically writes specs, decisions, research and lessons as Markdown, so the next session starts already knowing what the last one learned.

  81. 84

    codify

    435Sidiora-Labs/codify · C

    Codify (run as the cg binary) is a single-binary agent workflow engine. It indexes your codebase into a local SQLite graph, turns plain-text specs into verified task plans, and drives Codex CLI or Claude Code sessions through coding, review, and merging — all on your own machine.

  82. 85

    Awesome-Graph-Engineering

    382DEEP-JLU/Awesome-Graph-Engineering

    A curated collection of research papers, benchmarks, and open-source projects accompanying a survey on Graph Engineering for LLM agents, covering the progression from Model Intelligence to Individual Intelligence to System Intelligence.

  83. 86

    learn-agent

    361ryzqi/learn-agent · TypeScript

    A 20-chapter Chinese-language tutorial that builds a production-grade AI agent harness from scratch, pairing each chapter's article with a runnable TypeScript code snapshot.

  84. 87

    dsh-router-standard

    349yjh051108/dsh-router-standard · JavaScript

    Router Standard is a task-aware reasoning-mode router preset for DeepSeek Harness: it classifies a session's first real user message into a persona band (spec / react / weak) and injects the matching persona and first-turn tool surface for DeepSeek V4 models.

  85. 88

    lemmalog

    340JordyZomer/lemmalog · Rust

    A Datalog engine for LLM agent memory: instead of 'remembering better' than a vector store, memory becomes a deductive database — provenance-tracked facts, stratified rules, incremental derivation. Ships as a Rust crate, MCP server, REPL and agent skill.

  86. 89

    halofy

    319halofyai/halofy · TypeScript

    Halofy is an access and governance layer that sits between an organization's knowledge and the AI agents that use it, handling identity, policy, provenance, audit, and signed erasure.

  87. 90

    Harness_ru

    315justxor/Harness_ru · Shell

    A complete course (written in Russian) on harness engineering: how to design the system around an AI coding agent - instructions, tools, environment, state and verification - so it writes code reliably.

  88. 91

    Tiersense

    310wangmingxuan666/Tiersense

    TierSense is a hub of three research-backed APIs that give an AI agent decision signals about task difficulty, which history steps are ready to compress, and whether to compress or recall memory right now, so your own app can act on those signals.

  89. 92

    threadport

    272Frankie-Xu/threadport · TypeScript

    ThreadPort captures the observable work state of an AI coding session — objective, decisions, files, commands, tests, Git state, evidence and next action — into a portable 'Capsule' file, so you can review what happened and hand off an unfinished task between Claude Code, Codex, Cursor, or Gemini.

  90. 93

    pi-optchat

    266jonaslsaa/pi-optchat · TypeScript

    pi-optchat is an extension for the Pi coding agent that gives it persistent, endless memory per profile using a summary tree instead of context compaction, plus background subagents and the ability to import history from other agents.

  91. 94

    pragma

    251pqpo/pragma · TypeScript

    Pragma is a cross-harness platform for turning AI-native working methods into reusable Agent Teams that combine models, tools, context, memory, and workflows, so you can run the same team in Desktop, the CLI, or embed it via SDK.

  92. 95

    zhijian-ai-bluebook-workbuddy-harness

    240zjp1997720/zhijian-ai-bluebook-workbuddy-harness

    This is a book (Zhijian AI Bluebook ZJBB-003) that reverse-engineers WorkBuddy, an AI agent app, tracing its UI behavior back to the local files it writes and the requests it sends to the model, covering prompts, memory, plugins, experts, Skills and security boundaries.

  93. 96

    squeez

    217claudioemmanuel/squeez · Rust

    Squeez is a hook-based token compressor for seven AI coding CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI, Pi, Hermes) that intercepts tool output and shrinks bash results by up to 95% without losing exact identifiers.

  94. 97

    graphicle

    195Graphicle-AI/graphicle · Rust

    Graphicle is a Rust program that builds a code graph of your repository and keeps project memory (docs, decisions, past agent sessions) so your coding agent gets cited, relevant excerpts instead of re-reading the whole codebase.

  95. 98

    awesome-ai-harness

    153weiwei966/awesome-ai-harness

    A curated reading list on 'harness engineering' — the runtime scaffolding (context management, tool design, agent loops, memory, sandboxing, evaluation) that turns a raw language model into a working agent, in English and Chinese.

  96. 99

    Matryoshka

    150yogthos/Matryoshka · TypeScript

    Matryoshka (RLM) is an MCP server and CLI toolkit that lets LLM agents analyze documents up to 100x larger than their context window, by having the model emit symbolic 'Nucleus' commands that a logic engine called Lattice executes server-side, instead of chunking text into a vector database.

Often tagged together