Paperclip takes the top spot, with agent memory, a decision engine and source control for agents close behind

Fastest-growing this period

Counts come from GitHub's official stargazers/history endpoint: the stars gained on each day of the window. Project briefs and the reading notes below are editorial additions.

1. 1

   paperclipai/paperclip : Run a company of AI agents with org charts, tickets and per-agent budgets

   TypeScript

   An open-source control plane for running AI agents like a company. Tasks turn into tickets with approval and review gates you verify from diffs, screenshots and tests; an org chart gives every agent a role, a boss and scoped secrets; heartbeats wake agents on a schedule; and a monthly budget per agent stops runaway token spend. Any runtime that answers a heartbeat plugs in.

   +2,462
2. 2

   vectorize-io/hindsight : Agent memory with three operations: retain, recall, and reflect to keep learning

   Python

   An agent memory system organized around three operations: retain observations, recall them when needed, and reflect to keep what an agent knows up to date. Memory banks and mental models structure the knowledge, it runs as a Docker, pip or embedded Python service against 25+ LLM providers, and an MCP server plus a two-line LLM wrapper connect it to coding agents.

   +2,030
3. 3

   eternity4719/HowToLiveBetter : Life advice that logs what you spend, what you gain and how solid the evidence is

   HTML

   A Chinese guide of practical suggestions on health, money, scams and legal traps, from chronic disease and first aid to rent disputes and workplace compensation. Each entry records what you spend, what you get back and how strong the evidence is, citing only journal papers and official documents, with an online search page for quick lookups.

   +1,892
4. 4

   NandhaKishorM/laya : Answer typed questions about any text in one 33-millisecond forward pass

   Python

   A non-autoregressive decision engine that reads text, an email or a JSON document and returns a typed answer, a choice, a score or a yes/no flag, in one 33-millisecond forward pass. Three checkpoints cover English, over one hundred languages and typed workflows, and a built-in router picks one per request. Nothing is generated, so there is nothing to parse or hallucinate.

   +1,448
5. 5

   hydra-db/hydradb : A Rust graph database that keeps the graph on S3 and scales compute separately

   Rust

   A distributed graph database written in Rust where S3-compatible object storage is the durable source of truth and compute splits into query-serving data nodes plus background indexers that rebuild from durable state. OpenCypher queries run against pinned snapshots with GraphBLAS traversal, and applications can use Neo4j drivers over Bolt or a typed HTTPS API.

   +1,145
6. 6

   rocketride-org/rocketride-server : Compose AI pipelines as portable JSON on a VS Code canvas, run by a C++ engine

   Python

   An open-source pipeline builder and runtime for AI workloads: 100+ nodes cover LLM providers, vector databases, OCR and NER, pipelines are drawn as portable JSON on a visual canvas in VS Code, and a multithreaded C++ engine runs them on your own hardware. Python and TypeScript SDKs drop a finished pipeline into an app with a few lines of code.

   +1,099
7. 7

   latent-spaces/brag : Turn the project you just built into a shareable launch video

   Python

   A skill that packages the project you just finished into a short launch video with music, motion and ready-to-paste share copy. Run one command in your project folder, steer the tone with a plain-language flag, and you get a rendered video plus the plan and composition brief behind it.

   +1,017
8. 8

   pacifio/atlas : Source control for agents: every commit linked to the session that made it

   TypeScript

   Source control for coding agents. Each run saves a checkpoint linking a commit to the session behind it, with prompts, tool calls and file changes kept together and queryable months later. Claude Code, Codex and other agents share one memory, so switching agents mid task does not restart the work. Your notes and existing CLAUDE.md feed every agent, and code stays local.

   +910
9. 9

   deepseek-ai/deepseek-harness : Explore DeepSeek's building blocks for an extensible agent

   TypeScript

   DeepSeek's agent runtime built around replaceable plugins, with a web interface for running it. Useful for developers exploring how to compose an agent's capabilities; it is a developer preview, so expect interfaces to change as you experiment.

   +905
10. 10

    rohitg00/ai-engineering-from-scratch : Learn AI engineering by building and checking real projects

    Python

    A structured AI-engineering curriculum with routes for fundamentals, LLM applications and agents. It pairs reading with building and checking results, useful when you want to learn toward a working project instead of collecting disconnected tutorials.

    +899

Ranking window: 2026-09-25 UTC, full day.