ericrisco/rsc-harness
Your agent invents things because it has no memory, and can't touch your database because it has no arms. rsc is the meta-harness that gives it both, plus the trade to know the job and the reflexes to not break your repo. For Claude Code, Codex and 15 more.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 2 days ago, with 6 contributors on GitHub.
Use Cases & Benefits
- Provides a meta-harness that equips AI coding agents with project memory, database access, and safe operational controls.
- Ensures consistent, inspectable, and maintainable AI assistant setups tailored to project goals and existing tools.
- Use for integrating AI coding assistants like Claude Code or Codex into complex software projects with strict workflow rules.
- Use for managing multi-agent collaboration with synchronized project knowledge and controlled git permissions.
- Use for implementing specification-driven development workflows where AI agents handle complex, interdependent coding tasks.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
You build the product. rsc-harness builds its harness.
Keep your project knowledge, skills and working rules together across the assistants you already use. Start with your goal. Review what rsc proposes to install. Accept the plan before it changes your project.
MIT licensed · project-local setup · 18 assistant targets
A new chat should not make you reconstruct the stack, explain yesterday's decision and remember which files must stay untouched. Putting every instruction into one giant prompt creates a different problem: the important details compete with rules that have nothing to do with today's task.
Hand-built setups can become a Frankenstein harness: duplicated instructions, unrelated skills, premature hooks and unnecessary MCP connections. Open standards cover individual pieces (Agent Skills, MCP, AGENTS.md). Your project still needs someone to choose and maintain the right pieces.
rsc-harness makes that choice explicit. It reads evidence within your project root, asks about your goal and assistants, and prepares a plan you can inspect before applying it.
You accept the exact plan. If project evidence changes before acceptance, rsc asks you to review a fresh plan. Later,
rsc reassessreports new needs without silently installing them.
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| ericrisco/rsc-harness | 502 | — | 40 | 2 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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