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Charter
Open-source Composio alternative for AI agents
A Python library that turns any API into an agent tool you own. No third-party server, no per-call pricing, no rate limits on top. Your rules decide what the agent sees and sends, and a call that breaks one never reaches the API.
I've built agents for 2 years. Five months ago I shipped SurfBuddy here: a personal agent that works in services like Gmail and Calendar. That was before Muse, Dots and Grok Bot did the same, and I built it solo.
For me the biggest lever has always been the tooling, and I could do all of it because of the library I built for it, now open source: Charter (Apache 2.0). It works with any API, and 613 tools come already declared.
If you want off Composio - Your own OAuth app: your name on the consent screen - Runs in your process: no third-party server, your users' data stays yours - No per-call pricing, and nobody who can change it - No rate limits on top of the API's own - No telemetry
If you want control over your agent's tools - Each tool is an annotated Pydantic model that mirrors the API's rules - Put your own rules on top: a cap, an allowlist, any check in Python - Cut any tool to what your agent needs, even the ones that ship - Everything is checked before the request, so it all tests offline - A call that breaks a rule fails closed, and the model is told why
Star the repo on GitHub and try it in your agents: pip install charter-ai. No signup needed.
Your agent's tools should be yours. That's why it's open source.
About Charter on Product Hunt
“Open-source Composio alternative for AI agents”
Charter was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #31 on the daily leaderboard. A Python library that turns any API into an agent tool you own. No third-party server, no per-call pricing, no rate limits on top. Your rules decide what the agent sees and sends, and a call that breaks one never reaches the API.
On the analytics side, Charter competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Charter performed against the three products that launched closest to it on the same day.
Who hunted Charter?
Charter was hunted by Nathan Queme. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Charter including community comment highlights and product details, visit the product overview.
Nathan Queme
Hey Product Hunt, I'm Nathan, 22.
I've built agents for 2 years. Five months ago I shipped SurfBuddy here: a personal agent that works in services like Gmail and Calendar. That was before Muse, Dots and Grok Bot did the same, and I built it solo.
For me the biggest lever has always been the tooling, and I could do all of it because of the library I built for it, now open source: Charter (Apache 2.0). It works with any API, and 613 tools come already declared.
If you want off Composio
- Your own OAuth app: your name on the consent screen
- Runs in your process: no third-party server, your users' data stays yours
- No per-call pricing, and nobody who can change it
- No rate limits on top of the API's own
- No telemetry
If you want control over your agent's tools
- Each tool is an annotated Pydantic model that mirrors the API's rules
- Put your own rules on top: a cap, an allowlist, any check in Python
- Cut any tool to what your agent needs, even the ones that ship
- Everything is checked before the request, so it all tests offline
- A call that breaks a rule fails closed, and the model is told why
Star the repo on GitHub and try it in your agents: pip install charter-ai. No signup needed.
Your agent's tools should be yours. That's why it's open source.