Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Governed agent memory: lessons stay out of search until another actor promotes them with evidence.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
STELE_STOREYou need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"stele": {
"command": "uvx",
"args": [
"stele-mcp"
],
"env": {
"STELE_STORE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add stele --env STELE_STORE=your-value -- uvx stele-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"stele": {
"command": "uvx",
"args": [
"stele-mcp"
],
"env": {
"STELE_STORE": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"stele": {
"type": "stdio",
"command": "uvx",
"args": [
"stele-mcp"
],
"env": {
"STELE_STORE": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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STELE_STORE envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account leocelis, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (18.16.2) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Stele
The governed experiential-memory ledger for AI agents — log what worked and what failed, promote only oracle-verified lessons, and let any agent build solid context from real experience.
A stele is a stone raised to record what happened — deeds, laws, warnings — for those who come after. Stele is the same idea for AI agents: a centralized ledger of task experience. Agents automatically log what worked and what failed on each task; a governance gate promotes only lessons backed by external evidence; and any agent — today's or a future one — retrieves the distilled experience through one protocol before its next task.
Status: v18.16.1. Design locked in stele_system_intent.yaml. Packages: stele-core (zero runtime deps; optional [mysql]) + stele-mcp (stdio + hosted HTTP) + stele CLI.
| Problem | Evidence | Stele answer |
|---|---|---|
| Recall wins ≠ better actions | MemoryArena (arXiv:2602.16313) | Task-outcome harnesses, not recall@k marketing |
| Self-reflection poisons stores | Survey (arXiv:2603.07670) | Quarantine + external oracle only |
| Every framework is a silo | memorywire (arXiv:2606.01138) | JSON Schema + projection helpers |
| Stale lessons mislead | LongMemEval (arXiv:2410.10813) | Bi-temporal supersede + stale_policy |
Full research: docs/research/ · patterns: docs/patterns/.
pip install stele-core stele-mcp
From git (contributors):
python3.11 -m venv .venv
source .venv/bin/activate pip install -r requirements-dev.txt pip install -e packages/stele-core -e packages/stele-mcp make check # ruff + mypy + pytest make proof # end-to-end PASS/FAIL proof
Quick path: docs/QUICKSTART.md · comparison: docs/COMPARISON.md.
from pathlib import Path
from stele_core import Stele
s = Stele.open(Path(".stele-store"), store_id="demo", now="2026-08-20T12:00:00Z") added = s.add({ "layer": "failure_lesson", "title": "Pin cache keys to calendar buckets", "body": "Day-scoped keys prevent stale cross-day reads.", "scope": "project:demo", "temporal": {"valid_from": "2026-08-20T12:00:00Z", "last_verified": "2026-08-20T12:00:00Z"}, "provenance": { "agent": "agent-a", "task": "cache-fix", "environment": "local", "subject_id": "subj-1", "source": "session:abc", "written_at": "2026-08-20T12:00:00Z", }, })
s.promote(added["id"], [{ "type": "test_result", "issuer": "ci", "ref": "tests/test_cache.py", "observed_at": "2026-08-20T12:00:00Z", "verdict": "supports", "command": "pytest -q", "exit_status": 0, }], actor="ci", ts="2026-08-20T12:00:00Z")
print(s.search("cache buckets", consumer_scope="project:demo")) print(s.doctor(now="2026-08-20T12:00:00Z")["ok"])
stele init ./.stele-store --store-id demo
stele doctor ./.stele-store --now 2026-08-20T12:00:00Z stele hygiene ./.stele-store --now 2026-08-20T12:00:00Z stele entangled ./.stele-store --source web_page --now 2026-08-20T12:00:00Z stele forget-check ./.stele-store --scope project:demo --subject-id subj-x --probe-query secret --now 2026-08-20T12:00:00Z stele schema --out docs/schemas/entry.schema.json stele snapshot ./.stele-store /tmp/stele-backup --now 2026-08-20T12:00:00Z --actor ops
Requires the Model Context Protocol Python SDK 1.x (mcp>=1.0,<2). mcp 2.x removed mcp.server.fastmcp and will not boot this server.
Default (`stele-mcp`): 35 governed-ledger tools — add, promote, search, doctor, export, …
export STELE_STORE=./.stele-store
stele-mcp
Full research library (~2000 PEFT/agent-pattern tools): stele-mcp-full.
Same tools over HTTPS (SSE + streamable HTTP). Two independent tool surfaces, same process, same auth, same store:
| Surface | SSE | Streamable HTTP | Tools |
|---|---|---|---|
| Full | /sse | /mcp | 2003 (ledger + PEFT/pattern research library) |
| Core (governed ledger only) | /core/sse | /core/mcp | 35 — see list below |
Production:
https://stele.leocelis.com/sse · core: https://stele.leocelis.com/core/sse (Bearer required)docs/integrations/CURSOR.md · CLAUDE_CODE.md · CLAUDE_DESKTOP.mddocs/cursor-rules/stele-hosted-mcp.mdcLocal run (dev):
bash deploy/build.sh
STELE_API_KEYS=stl_local_dev STELE_AUTH_DISABLED=false \ STELE_STORE=./.stele-store \ python deploy/wsgi.py --port 8080
GET /health — unauthenticated; reports tool_counts: {full, core}/sse + /mcp (full) and /core/sse + /core/mcp (ledger-only) — both Bearer via STELE_API_KEYSSTELE_STORE_DSN + TLS CA (DSN wins over file path){
"mcpServers": { "stele": { "url": "https://stele.leocelis.com/core/sse", "headers": { "Authorization": "Bearer YOUR_KEY_HERE" } } } }
35 governed-ledger tools (TECH_SPEC §7.1-7.9 — everything create_core_app() exposes): add · update · promote · supersede · delete · search · reflect · link · list_contested · resolve_contested · verify · reviewer_corrections · hydrate · export · record_outcome · pin · stale_report · reverify · related · stats · timeline · verify_pack · attach · snapshot · doctor · entry_schema · purge_by_provenance · diff_stores · add_batch · entangled_suspects · hygiene_candidates · forget_compliance · lineage · belief_at · conflict_surface
See docs/ARCHITECTURE.md. Planes: Contract · Tools · Governance · Retrieval · Export · Living ledger · Ops.
| Doc | Link |
|---|---|
| OSS guide (start here) | docs/OSS_GUIDE.md |
| Quickstart | docs/QUICKSTART.md |
| PRD | docs/PRD.md |
| TECH_SPEC v1.1 | docs/TECH_SPEC.md |
| Entry JSON Schema | docs/schemas/entry.schema.json |
| Intent (C1–C8) | stele_system_intent.yaml |
MIT · Copyright (c) 2026 Stele contributors